The LeanScale Podcast · Episode 34

Pipeline Is a Vanity Metric

Guy Rubin on Ebsta's 2025 GTM Benchmark Report — ruthless qualification, the 11x velocity delta, expansion revenue, and why you fix dirty data with a machine, not sellers

Guy Rubin · Founder & CEO, Ebsta · Ebsta Hosted by Anthony Enrico
Published Updated 00:42:10 40 min read 8,023 words
Executive Summary

The one-paragraph brief, extended

Why this conversation matters — and who should spend the hour.

Every year Anthony Enrico looks forward to one dataset above almost any other: Ebsta's annual GTM Benchmark Report. In this episode — the third or fourth time the two have done this together — Ebsta founder and CEO Guy Rubin walks through the 2025 edition, produced in partnership with Pavilion. The scale is what gives it authority: over 650,000 opportunities representing nearly $50 billion of pipeline, plus (for the first time) 240,000 minutes of discovery calls and a survey of more than 2,000 CROs and sales leaders. And this year the analysis extended past the sales team to the right side of the bow tie — customer success, renewals, and expansion.

The macro picture is a market climbing back off the floor. Win rates dipped and then recovered, average deal values jumped more than 50% year over year as companies moved up-market, and sales cycles shortened slightly. But the health signals underneath are grim: more than three-quarters of sellers missed quota, and just 14% of sellers generated over 80% of new-logo revenue. Guy's framing is unambiguous — that concentration is a leadership problem, not a talent problem. You don't fix it by firing the bottom third and hiring everyone else's bottom third; you fix it by turning what your top performers do into pictures 'an 11-year-old can understand,' then using those benchmarks as gates and triggers in the sales process.

The middle of the conversation is a clinic on pipeline discipline. Sales velocity — deals times average deal value times win rate, divided by cycle time — is the single normalized number that reveals an 11x gap between top performers and everyone else, because top reps run 2.5x more deals, target ICP better, and carry higher ACVs and win rates. 'Time kills all deals': by four weeks in a stage, win rates collapse to 5%, so day 15 should trigger a hard is-this-real conversation. Top performers close off 30% of their opportunities at discovery. The counterintuitive finding: teams that think they have a late-stage problem almost always have an early-stage qualification problem — they never set the deal up for success. As Guy puts it, pipeline is a vanity metric if the deals aren't real.

The expansion story may be the report's most surprising: 52% of new revenue came from existing customers, not new logos. Expansion opportunities win at 45% versus 19% on new logo, close faster, and need fewer stakeholders. But who you engage decides everything — run your last two pre-renewal QBRs with the C-suite and you're 7x more likely to open a cross-sell; run them below the C-level and you're 4x more likely to churn. That reality is fueling the return of the full-cycle seller (46% of companies now expect reps to prospect, close, and grow), because handing a hard-won relationship to a stranger right when the six-month expansion window opens makes no sense.

Underneath all of it sits data. AI is now table stakes — top performers using AI tools spend nearly half their day actually selling versus 20% for those who don't — but every AI tool has the same dependency and the same enemy: Salesforce almost never contains clean, complete data. On average 44% of contacts never make it into the CRM and over a quarter of those are decision-makers. Ebsta's answer is to fix it with a machine, not sellers: connect to mail, calendar, and phone systems, build a people graph, score engagement, and write it all back to Salesforce so the whole org trusts the benchmarks. Who should listen: sales leaders, RevOps operators, CS and revenue executives, and any founder trying to build a repeatable, data-driven revenue motion instead of one held hostage by a handful of rainmakers.

Key Takeaways

13 things worth stealing

The load-bearing ideas, each with the business implication and who should care.

01

Pipeline is a vanity metric if the deals aren't real

Insecure or low-performing reps hoard pipeline so they always have something to show, but bloated, unqualified 'phantom pipeline' distorts forecasts and wastes the team's time. Top performers ruthlessly close off roughly 30% of their opportunities at the discovery stage rather than nurse deals that will never close.

Why it matters: Judge sellers on the quality and realism of pipeline, not its raw size. Allowing a rep to carry pipeline that should have been disqualified is a leadership failure — set qualification standards that force the fake deals out early.

Sales LeadersRevOps LeadersRevenue Executives
02

A 'late-stage problem' is almost always an early-stage qualification problem

When Ebsta cleans a year of dirty data and analyzes the discovery calls behind stalled late-stage deals, the failure traces back to discovery — no mutual close plan, missing stakeholders, unconfirmed budget, undefined timeline or security review. The deal was never set up for success in the first place.

Why it matters: Stop trying to rescue deals at stage five or six. Invest more time and structure in discovery, and show buyers that an extra hour early makes their whole buying process better — that's where win rates are actually won or lost.

Sales LeadersRevOps Leaders
03

Sales velocity — not closed revenue — is the truest measure of a seller

Velocity (number of deals x average deal value x win rate, divided by time to close) distills a seller into a single dollars-per-day number that normalizes across products, markets, and price points. The report shows an 11x velocity delta between top performers and B/C players, driven by 2.5x more deals, better ICP targeting, higher ACVs, higher win rates, and shorter cycles.

Why it matters: Rank and coach on velocity, not just bookings — an efficient rep sitting third in raw revenue may outperform your top closer in a better territory. Track the velocity delta and the coverage ratio required to hit quota, and watch both improve over time.

Sales LeadersRevOps LeadersRevenue Executives
04

14% of sellers generating 80% of revenue is a leadership problem, not a talent problem

An ever-smaller group of rainmakers now carries the majority of new-logo revenue, which lets them 'hold the business to ransom.' The wrong fix is firing the bottom third and hiring someone else's bottom third; the right fix is investing in onboarding and enablement so B and C players replicate the A players' playbook.

Why it matters: Raising the floor a few degrees moves the whole business more than squeezing marginal gains from your best. Get 85% of the team rowing better in sync rather than betting the company on a handful of stars.

Sales LeadersFoundersRevenue Executives
05

Turn benchmarks into pictures, then into gates and triggers

One customer's top performers won at 38% while average reps won at 12%. The difference, made visible in the data: top reps left stage two with six engaged stakeholders (vs. three) and always had a finance persona with an engagement score above 67. Shown that simply, reps understand why to multi-thread — and the benchmark becomes a gate before a stage can advance.

Why it matters: Enablement lands when best practice is quantified and visualized simply, then enforced as a stage-progression rule. It also arms reps to tell a buyer, 'my manager won't let me advance until we've engaged your finance persona' — a legitimate reason to disqualify faster.

RevOps LeadersSales Leaders
06

52% of new revenue now comes from existing customers

More than half of new revenue came from expansion, not new logos. Expansion opportunities win at 45% versus 19% on new logo, close faster, and need fewer stakeholders. In bumpy years it was success teams picking up the slack that kept businesses growing.

Why it matters: Stop over-investing attention in the loudest new-logo sellers when the majority of revenue lives in the base. Build and instrument a deliberate expansion motion — it's the lowest-hanging fruit in most organizations.

Revenue ExecutivesCustomer SuccessSales Leaders
07

Who you QBR with decides expansion versus churn

It's not enough to do renewals — the persona matters. If your last two QBRs before renewal are with the C-suite, you're 7x more likely to open a cross-sell; if they're below the C-level, you're 4x more likely to churn the customer. The right side of the bow tie needs to be multi-threaded just like the left.

Why it matters: Treat renewal and expansion as an executive-relationship motion, not a junior check-in. Map which personas you need engaged to create and win expansion, and keep engagement scores with the C-suite high year-round, not a month before renewal.

Customer SuccessRevenue ExecutivesSales Leaders
08

The expansion window is the first six months — don't hand off the relationship

The window for a cross-sell or up-sell is roughly 5x higher in the first six months of a contract. Handing a customer from the seller who spent months earning trust to a stranger right as that window opens destroys the very relationship that would drive expansion, and it isn't customer-centric.

Why it matters: Let the seller who earned the trust keep the relationship through onboarding and early expansion. It also frees them to sign a small first deal and grow it, rather than forcing the biggest possible contract on day one.

Sales LeadersCustomer SuccessRevenue Executives
09

The full-cycle seller is back — buying experience beats selling experience

46% of companies now expect sellers to prospect, close, and grow accounts, and Guy expects that number to keep rising. Specialized handoffs between SDR, closer, and CSM never solved the handover problem and hurt retention; buyers want one subject-matter expert who guides them from first touch through onboarding.

Why it matters: Design roles around the buying experience, not internal convenience. Align your best talent with your biggest opportunities — including expansion in the base — rather than defaulting junior reps to existing accounts.

Sales LeadersFoundersRevOps Leaders
10

More leads is not more ICP — don't boil the ocean

When 2023's quota misses drove companies to spend more on marketing, lead volume and sales-marketing alignment jumped (conversion up a third), but flooding the funnel doesn't produce more ICP-fit leads. Referrals from partners deliver the best ROI and fastest closes; inbound outperformed expectations while outbound and events underperformed on pure lead-gen efficiency.

Why it matters: Get outbound and marketing sharper on what ICP actually means before scaling volume, and build a structured partner-referral program — only about a third of businesses have one, and it can take ~18 months to pay off but reach 30% of revenue.

Marketing LeadersRevOps LeadersFounders
11

AI is table stakes, but garbage in means garbage out

Top performers using AI tools spend close to half their day actively selling versus about 20% for those who don't. But every AI tool depends on clean, consistent, up-to-date data — and Salesforce almost never has it. AI at the top of the funnel can even be dangerous, generating volume that isn't ICP.

Why it matters: Use AI to remove admin and put reps in front of more customers, since relationships drive B2B revenue. But solve data quality first, or AI will amplify noise and erode trust in your benchmarks.

RevOps LeadersSales LeadersRevenue Executives
12

Fix dirty CRM data with a machine, not with sellers

On average 44% of contacts never make it into the CRM, and over a quarter of those are decision-makers — so you can't even know how multi-threaded a deal really is. Relying on sellers to log activity and maintain contacts never scales. Ebsta connects to mail, calendar, and phone systems to build a people graph, score every relationship, and write it back to Salesforce automatically.

Why it matters: Automate hygiene so the whole org — seller, manager, and C-suite — trusts the system of record. If people don't believe the data, they won't follow the process, and you're back to chaos.

RevOps LeadersRevenue ExecutivesFounders
13

'Service as a software': give the C-suite a reason to keep meeting you

Ebsta struggled to keep customer executives engaged in QBRs until it began delivering a quarterly 'revenue insights as a service' PDF — an enhanced, tailored QBR that shows leadership where the go-to-market motion is winning and where it needs attention. Executives now look forward to the sessions, and it has driven expansion and even introductions to the customers' PE owners and portfolio companies.

Why it matters: Frequency of engagement isn't enough — quality is. Bring the C-suite something genuinely valuable every quarter and you sustain the executive relationship that powers expansion; a junior monthly check-in email does not.

Customer SuccessRevenue ExecutivesFounders
Frameworks Discussed

8 named models

Every framework Jimmy names, defined and time-stamped.

Sales Velocity & the Velocity Delta

05:20

Sales velocity = (number of deals x average deal value x win rate) / time to close, expressed as a normalized dollars-per-day contribution per seller. The velocity delta is the multiple separating top performers from B/C players (11x in the 2025 report).

Velocity lets you compare sellers fairly across different solutions, markets, and price points and reveals efficient reps that raw bookings hide. The 11x gap comes from top reps running 2.5x more deals, targeting ICP better, and carrying higher ACVs, higher win rates, and shorter cycles. Track the delta — and the coverage ratio required to hit quota — over time.

The Bow Tie — Multi-Thread Both Sides

07:44

A view of the revenue motion where the left side is acquisition (lead to close) and the right side is post-sale retention and expansion. The insight: the right side must be multi-threaded and instrumented as deliberately as the left.

This year's report extended the analysis to the right side of the bow tie and found expansion win rates of 45% (vs. 19% new logo) and that persona engagement in pre-renewal QBRs decides expansion vs. churn (C-suite = 7x cross-sell; below C-level = 4x churn).

Time Kills All Deals (Days-in-Stage)

18:48

Compare the average number of days a deal spends in a stage when it wins versus when it loses. Once a deal exceeds ~14 days in a stage, win rate drops sharply; by four weeks it falls to about 5%.

Days-in-stage is a leading indicator of a stalled or unreal deal. After day 15, force a decision: confirm it's real and advance it, have a manager course-correct, hand it to a different type of seller, or close it lost and redeploy the time to deals that can actually close.

Ruthless Qualification (Disqualify 30% at Discovery)

31:13

Top performers close off roughly 30% of opportunities at the discovery stage, refusing to advance deals that were never properly qualified on budget, stakeholders, timeline, mutual close plan, and security/legal review.

Because the late-stage problem is really an early-stage problem, ruthless qualification up front concentrates seller time on winnable deals. Top reps are also skilled at explaining to buyers why investing more time early improves the buying process — so disqualification feels collaborative, not adversarial.

Benchmarks as Gates and Triggers

16:35

Quantify what top performers do (e.g., six engaged stakeholders and a finance persona above a set engagement score by stage two), visualize it simply, and enforce those benchmarks as gates a deal must clear and triggers that prompt sellers and managers inside the CRM opportunity record.

Turning best practice into 'pictures an 11-year-old can understand' gets buy-in; using the benchmarks as stage-progression gates makes pipeline inspection consistent regardless of manager, geography, or vertical. Ebsta auto-prompts the manager and seller on the opportunity record with the exact questions to ask.

The Full-Cycle Seller

19:24

One seller prospects, closes, and grows an account rather than handing the customer between SDR, closer, and CSM specialists. 46% of companies now expect this, and the trend is rising.

Specialization never solved the handover problem and hurt retention and win rates, because buyers want a single trusted subject-matter expert across the journey. Keeping the relationship with the original seller also captures the first-six-months expansion window instead of giving it to a stranger.

Revenue Insights as a Service ('Service as a Software')

27:00

A quarterly, tailored executive report — an enhanced QBR distilled from platform data — that shows a customer's leadership where their go-to-market motion is winning and where it needs attention.

Ebsta built it to keep the customer C-suite engaged after onboarding. It reframes the vendor relationship around delivering value the executive genuinely wants, driving improved quota attainment and forecast accuracy for the customer and expansion (and PE-portfolio introductions) for Ebsta.

The People-Graph Data Engine

38:16

A machine that connects to email, calendar, and phone systems to reconstruct every customer relationship, create and maintain CRM contacts, score engagement out of 100 (with trend and relationship-owner), and write it all back to Salesforce automatically.

Since 44% of contacts never make it into the CRM (a quarter of them decision-makers) and sellers will never reliably log data at scale, the engine solves hygiene without humans. Trustworthy data is the precondition for believable benchmarks — and for any AI tool to work.

Best Quotes

18 lines worth clipping

Pulled verbatim. Copy or share any of them.

“Pipeline is a vanity metric if the deals aren't real.”
Guy Rubin 19:24
“Time kills all deals. If after two weeks you're not out of a certain stage, then the win rate starts to drop dramatically. And by four weeks, you're down to 5% win rate. What's the point in keeping it?”
Guy Rubin 18:48
“The top performers close off 30% of their opportunities at the discovery stage across the board. They are not afraid to get rid of opportunities that are gonna waste their time.”
Guy Rubin 33:28
“The issue isn't necessarily what's going on in that late stage. The issue is that we never set the customer up for success in the first place. We didn't qualify them well enough.”
Guy Rubin 32:56
“For me, this is a leadership problem, not a seller problem. Sellers by definition are motivated to win. And it's our job as leaders to make it easy for them to win.”
Guy Rubin 15:10
“If we can show them in pictures that an 11-year-old can understand what the top performers are doing to win, they will follow that playbook.”
Guy Rubin 15:54
“52% of new revenue didn't come from new logos. It came from existing customers.”
Guy Rubin 12:43
“I'm gonna spend three months building a relationship with the economic buyers to the point where they trust me so much, they're actually gonna sign a contract with me. And then there's this massive opportunity, and we give it over to somebody else who hasn't got that relationship. It just doesn't make any sense.”
Guy Rubin 21:25
“It's not about the selling experience, it's all about the buying experience.”
Guy Rubin 20:03
“Just because you've got more leads coming into the business doesn't mean you've got more ICP leads coming into the business.”
Guy Rubin 10:16
“It doesn't matter what tools you decide to use, they all have one thing in common: they need good quality, consistent, maintained, up-to-date data. And they all have one problem — Salesforce has never got good quality, maintained, up-to-date, clean data.”
Guy Rubin 37:01
“We can't rely on sellers to be responsible for logging their own activity, creating contacts, keeping those contacts up to date. It's just never gonna happen.”
Guy Rubin 37:38
“If you can't move the bar, if you can't help them achieve their outcomes, they won't wanna spend time with you. But on the other side of that coin, if you can move the bar, they'll look forward to their sessions with you.”
Guy Rubin 29:21
“It can be quite lonely at the top, and having the community of other CEOs around you has been very transformational for me and my business. If you haven't got your community around you yet, figure out where your tribe is.”
Guy Rubin 02:37
“A lot of low performing, maybe even insecure reps, they like to have a lot of pipeline in their name. But it's absolutely phantom pipeline. It's nothing real. It should have been disqualified.”
Anthony Enrico 33:28
“That's actually a shocking statistic. 52% of new revenue coming from existing accounts — more than half the revenue coming from existing. It's really, really shocking.”
Anthony Enrico 13:22
“Just raising the floor a few degrees can have massive impacts on the business.”
Anthony Enrico 16:35
“Any AI tool or platform you wanna bring in, you're gonna need that data to be clean. That powers everything else.”
Anthony Enrico 41:09
Practical Advice

What should you actually do?

The playbook, split by the seat you sit in.

Sales Leaders

  • Run consistent pipeline inspection: every meeting should have the same questions, no surprises. Focus on how a deal is pacing against similar deals and the single next step to move it forward — not how much the customer loves the rep.
  • Enforce days-in-stage limits. After ~15 days in a stage, make the rep prove the deal is real, get a manager to course-correct, hand it to another seller, or close it lost.
  • Quantify what your top performers do (stakeholder count, finance-persona engagement by stage), turn it into simple visuals, and enforce those benchmarks as gates before a deal can advance.
  • Align your best talent with your biggest opportunities — including expansion in the base — rather than defaulting junior reps onto existing accounts.

RevOps Leaders

  • Solve CRM data quality with an engine, not sellers. Automatically capture contacts and activity from mail, calendar, and phone systems so the whole org trusts the system of record.
  • Track sales velocity and the velocity delta as first-class metrics, plus the pipeline-coverage ratio required to hit quota — and drive that coverage number down over time.
  • Build a people graph and score engagement per contact so you can see who holds each relationship and whether it's trending up or down — a prerequisite for real multi-threading.
  • Use benchmarks as in-CRM prompts and triggers so managers and sellers always know which questions and gaps to address on each opportunity.

Customer Success

  • Multi-thread the right side of the bow tie. Get your last two pre-renewal QBRs in front of the C-suite — it makes you 7x more likely to expand and avoids the 4x churn risk of renewing below the C-level.
  • Deliver quality, not just frequency: build a genuinely valuable quarterly executive report ('revenue insights as a service') rather than a junior monthly check-in email.
  • Move on expansion inside the first six months of a contract, when the cross-sell/up-sell window is roughly 5x higher.
  • Keep engagement with customer executives high year-round; don't surface a month before renewal.

Marketing Leaders

  • Don't confuse more leads with more ICP. Tighten targeting before scaling spend, and hold the line on what actually qualifies as an opportunity.
  • Invest in a structured partner-referral program — it can take ~18 months to produce a first deal but grow into 30% of revenue, and referrals deliver the best ROI and fastest closes.
  • Treat inbound as a stronger source than it gets credit for, and judge events on more than raw lead-gen efficiency.

Revenue Executives

  • Treat the 14%/80% revenue concentration as a leadership and enablement problem — raise the floor across B and C players instead of churning the bottom third.
  • Recognize that over half of new revenue can come from the existing base; build and instrument a deliberate expansion motion with the right personas.
  • Fix data quality before layering on AI, then use AI to give reps back selling time — top performers with AI tools sell nearly half their day versus ~20% without.
AI Takeaways

How AI actually changes GTM

LeanScale's signature read on the AI-in-GTM question this episode wrestles with.

The thesis

AI is now table stakes for sellers — but it is only as good as the data underneath it. Used well, AI removes admin and gives reps more time in front of customers; used on dirty CRM data, or aimed blindly at the top of the funnel, it amplifies noise and erodes trust in your benchmarks.

AI buys back selling time

Top performers using AI tools spend close to half their day actively selling versus ~20% for those who don't. Point AI at admin and message quality so reps spend more time in the relationships that drive B2B revenue.

Garbage in, garbage out

Every AI tool needs clean, consistent, maintained data, and Salesforce almost never has it. Solve data quality first or AI will confidently act on incomplete truth.

More AI leads can be dangerous

AI at the top of the funnel makes it easy to 'boil the ocean' — more leads, not more ICP leads. Volume without targeting floods the pipeline with deals that should never enter the sales cycle.

Fix data with a machine, not humans

Sellers will never reliably log activity and contacts at scale. A machine that reconstructs relationships from mail, calendar, and phone systems is what makes the CRM — and therefore the benchmarks — trustworthy enough for AI to use.

Quality-check with AI too

Beyond efficiency, reps can use AI to review proposals and responses and to prioritize the best opportunities — effectiveness and quality, not just speed.

Agent & automation ideas

  • A CRM-hygiene agent that ingests mail, calendar, and phone activity to create/maintain contacts, build a people graph, and score engagement per relationship — writing it all back to the opportunity record.
  • A pipeline-inspection agent that flags deals breaching days-in-stage thresholds or missing benchmark gates (finance persona engaged, stakeholder count) and prompts the rep and manager with the exact questions to ask.
  • An expansion-signal agent that watches engagement scores in the base and triggers a play when a C-suite relationship trends down or the first-six-months expansion window opens.
  • A discovery-coaching agent that analyzes call recordings against top-performer benchmarks and tells a rep where qualification was too thin before the deal advances.
Operations Takeaways

By function

The same conversation, filtered for RevOps, pipeline/marketing ops, and customer ops.

Revenue Operations

  • Automate hygiene. Fix dirty data with an engine that captures contacts and activity from mail, calendar, and phone systems — don't rely on sellers, which never scales.
  • Instrument velocity. Make sales velocity and the velocity delta first-class metrics, plus the coverage ratio required to hit quota, and drive coverage down over time.
  • Benchmarks as gates. Turn top-performer behavior into quantified, visual benchmarks and enforce them as stage-progression gates with in-CRM prompts for reps and managers.
  • Score every relationship. Build a people graph and score engagement per contact so you know who owns each relationship and whether it's trending up or down.
  • Trust is the point. If people don't believe the benchmarks, they won't follow the process. Machine-clean data is what earns that belief from seller to C-suite.

Pipeline & Marketing Ops

  • Kill phantom pipeline. Unqualified pipeline is a vanity metric; leaders who let reps carry unreal deals distort forecasts and waste time.
  • Late-stage is early-stage. Deals stalling late almost always failed qualification early — no close plan, missing stakeholders, unconfirmed budget or timeline.
  • Days-in-stage as a trigger. By four weeks in a stage win rate collapses to ~5%; day 15 should force an is-this-real decision.
  • Source ROI matters. Partner referrals give the best ROI and fastest closes; inbound beat expectations while outbound and events underperformed on lead-gen efficiency.
  • More leads ≠ more ICP. Marketing spend lifted volume and sales-marketing alignment, but flooding the funnel doesn't create ICP-fit demand.

Customer Operations

  • Expansion is the majority. 52% of new revenue came from existing customers; expansion wins at 45% vs. 19%, closes faster, and needs fewer stakeholders.
  • Persona decides the outcome. Pre-renewal QBRs with the C-suite mean 7x more cross-sell; below the C-level means 4x more churn.
  • First six months. The cross-sell/up-sell window is ~5x higher in the first six months — move early and keep the relationship with the original seller.
  • Quality over frequency. Give executives a genuinely valuable quarterly 'revenue insights as a service' report, not a junior monthly check-in.
  • Multi-thread the right side. Treat the post-sale side of the bow tie with the same multi-threading rigor as the acquisition side.
Metrics Mentioned

The numbers, with context

650,000+
Opportunities analyzed

The 2025 GTM Benchmark Report analyzed just over 650,000 opportunities representing nearly $50 billion of pipeline.

240,000
Discovery-call minutes analyzed

For the first time, Ebsta analyzed 240,000 minutes of discovery calls to see what top performers do differently.

2,000+
CROs / sales leaders surveyed

Surveyed with Pavilion as part of the report's data sourcing.

+50% YoY
Average deal value change

Average deal values rose over 50% in 2025 vs. 2024 as companies moved up-market or repackaged.

>75%
Sellers missing quota

Over three-quarters of sellers missed quota last year — a level Guy calls unsustainable.

14% of sellers = 80% of revenue
Revenue concentration

Just 14% of sellers generated over 80% of new-logo revenue; Guy frames this as a leadership problem.

11x
Velocity delta

The gap in sales velocity between top performers and B/C players; top reps also run 2.5x more deals.

19% vs. 45%
New-logo vs. expansion win rate

Average new-logo win rate was 19%; expansion opportunities within existing customers win at 45%.

7x expand / 4x churn
Pre-renewal QBR persona effect

Last two pre-renewal QBRs with the C-suite = 7x more likely to open a cross-sell; below C-level = 4x more likely to churn.

52%
New revenue from existing customers

More than half of new revenue came from existing accounts rather than new logos.

38% vs. 12%
Example win-rate gap

One customer's top performers won at 38% while average performers won at 12% — closed by making the benchmark visible.

6 vs. 3
Stakeholders leaving stage two

Top performers left stage two with six engaged stakeholders (always including a finance persona above 67 engagement) vs. three for average reps.

~5% win rate by 4 weeks
Late-stage stall threshold

Once a deal exceeds ~14 days in a stage, win rate drops sharply; by four weeks it falls to about 5%.

46% of companies
Full-cycle expectation

46% of companies now expect sellers to prospect, close, and grow accounts — a rising trend.

5x in first 6 months
Expansion window

The cross-sell/up-sell window is roughly 5x higher in the first six months of a contract.

~50% vs. ~20% of day
Selling-time gap with AI

Top performers using AI tools spend close to half their day actively selling; average reps without AI spend about 20%.

~1 in 3 businesses
Structured partner programs

Only just over a third of businesses have a structured partner-referral program in place.

18 months → 30% of revenue
Ebsta partner channel

Ebsta didn't close its first partner-sourced deal for ~18 months, but now gets 30% of revenue through the partner channel.

44% never in CRM
Missing contacts

On average 44% of contacts never make it into the database, and over a quarter of those are decision-makers.

7 days · 5-min sync · 6-month guarantee
Data-fix speed / quota guarantee

Ebsta cleans a year of historical data within 7 days, keeps Salesforce current every 5 minutes, and guarantees more sellers hitting quota within 6 months or you can terminate.

Frequently Asked Questions

Straight answers

Generated from the conversation, marked up for search and AI extraction.

What is the Ebsta GTM Benchmark Report and how large is its dataset?

It's an annual go-to-market benchmark report Ebsta produces with Pavilion, analyzing what top performers do differently across the revenue motion. The 2025 edition analyzed over 650,000 opportunities representing nearly $50 billion of pipeline, 240,000 minutes of discovery calls, and a survey of more than 2,000 CROs and sales leaders.

What is sales velocity and why does it matter more than closed revenue?

Sales velocity is (number of deals x average deal value x win rate) divided by time to close, expressed as a dollars-per-day contribution per seller. It normalizes performance across products, markets, and price points, so it surfaces efficient reps that raw bookings hide. Ebsta's 2025 report found an 11x velocity gap between top performers and average sellers.

Why is pipeline called a vanity metric?

Because pipeline only matters if the deals are real. Low-performing or insecure reps accumulate unqualified 'phantom pipeline' to have something to show, which distorts forecasts and wastes time. Top performers instead disqualify roughly 30% of opportunities at the discovery stage, and Guy Rubin frames allowing unreal pipeline as a leadership failure.

Why do late-stage deals actually stall, according to the data?

Almost always because of poor early-stage qualification, not the late stage itself. When Ebsta cleans the data and reviews discovery calls behind stalled deals, the failure traces to discovery: no mutual close plan, missing stakeholders, unconfirmed budget or timeline, and undefined security or legal review. The deal was never set up for success.

How much of new revenue comes from existing customers?

In the 2025 report, 52% of new revenue came from existing customers rather than new logos. Expansion opportunities win at 45% versus 19% on new logo, close faster, and need fewer stakeholders — making the installed base the lowest-hanging fruit in most organizations.

Does doing QBRs actually prevent churn?

Only if you engage the right personas. If your last two pre-renewal QBRs are with the C-suite, you're 7x more likely to open a cross-sell opportunity; if they're below the C-level, you're 4x more likely to churn. Frequency isn't enough — the seniority and quality of the engagement is what determines expansion versus churn.

Why can't you rely on AI to fix your CRM data?

AI needs clean, consistent, up-to-date data, and Salesforce almost never has it — on average 44% of contacts never make it into the CRM and over a quarter of those are decision-makers. You can't rely on sellers to log activity at scale either. Ebsta's approach is a machine that reconstructs relationships from mail, calendar, and phone systems and writes them back automatically, so the data (and the benchmarks) become trustworthy enough for AI to use.

When is the full-cycle seller a better model than specialized handoffs?

Increasingly often — 46% of companies now expect sellers to prospect, close, and grow accounts, and the trend is rising. Specialized handoffs between SDR, closer, and CSM never solved the handover problem and hurt retention, because buyers want one trusted subject-matter expert across the journey. Keeping the original seller also captures the high-value expansion window in the first six months of a contract.

Full Transcript

The whole conversation

Broken into chapters, searchable, verbatim from the audio. Speakers inferred (not diarized).

00:00The benchmark report returns: Guy Rubin and Ebsta

0:00 (logo whooshes) - Guy, this is one of the things I look forward to most every single year is when Ebsta releases the benchmark data. It is such powerful data, gives me such good context, and not just for us to help the customers that we help in the go-to-market space, but also for ourselves and how we use it internally for our own growth. So I'm really excited that you're here to share it with our audience and our listeners today, and I can't wait to see what is different in the 2025 report. - Well, Anthony, first of all, thank you so much for having me on the podcast. Really excited to be here, being a long-time follower of you guys on YouTube.

0:40 So really excited to be here as always, and we've known each other now. I think this is the third or fourth year we've spoken about the benchmarks. So really, really pleased to be part of this today. Last year, really interesting data from the report last year. Lots of really interesting takeaways that I'm gonna share with the community today. This year, we went deep. Every year, those that have received the benchmark report before will know that we do a lot of analysis on opportunities and what drives, what top performers are doing differently to the BNC players across the kind of go-to-market motion. But in particular, historically,

1:20 we focused on the sales teams. This year, we extended that out to the kind of the right side of the bow tie, and we've got all sorts of interesting data points and insights from customer success and what impacts renewals across sales and upsells. So a whole host of information to share with the community and really excited to get into it. - Amazing, can't wait, can't wait. Especially going into those other departments, the insights you brought for sales are always so good, so can't wait to see what you have for CS2. - Yeah, very good, okay. So I'm gonna share my screen, and then we'll jump straight in. - Sure. - So for some context,

01:57Inside the 2025 dataset: 650K opportunities, $50B pipeline

1:57 we produce the GTM benchmark report every year with Pavilion, and so my role, I'm the CEO of EFSA, but I'm also the Pavilion CEO ambassador, so I'm very enthusiastic about community, and if any of your listeners are interested in finding out more about the Pavilion community, I don't get paid to be part of it, but I'm just passionate about it and happy to talk about that at any time as well. - No, same, and I'll just add to continue to it. I'm in the CEO cohort with Pavilion. It's such an amazing community, great members, great information, amazing events too, just a great place to connect with people. - Yeah, and we get to meet regularly

2:37 with a cohort of other CEOs, and it's an amazing place to be able to share learns and stories. I run dinners every month with the CEO community in different countries, and it's just amazing to hear what people are doing and being able to support each other. It can be quite lonely at the top, and having the community of other CEOs around you, as I found, be very transformational for me and my business, so if you haven't got your community around you yet, figure out where your tribe is. I found my tribe in Pavilion and really enjoy being part of it. So to set the scene, this year we analyzed just over 650,000 opportunities,

03:15Headline outcomes: bigger deals, missed quota

3:15 representing nearly $50 billion worth of pipeline. For the first time ever this year, we also analyzed, specifically, 240,000 minutes of discovery calls, and we also, working with Pavilion, we reached out and surveyed over 2,000 CROs and sales leaders, so that's where the data's been sourced from within the report. And probably a good place to start is looking at the outcomes that we found. So while win rates dropped slightly, in reality, we saw it dip a lot deeper and then kind of come up the other side. So my takeaway is that 2025, we're on the way up, things are moving in the right direction again, and there's some really interesting takeaways

3:59 from the headlines. The average deal values went up dramatically. As the market got tighter, it looks like a lot of businesses, most businesses moved up markets or built their packages to sell average deal values at much, much higher, so over 50% higher average deal values in 2025 versus 2024, and sales cycles reduced slightly as well, but the biggest challenge we can see here is that over three-quarters of sellers missed quota last year, and that in itself is just not sustainable. And we're gonna talk a lot more about what the top performers are doing differently to everybody else, but we saw just 14% of sellers generated over 80% of revenue last year.

4:44 And so if you've got an organization that's falling into that category, it's a real challenge. You're in a place where your rainmakers are now almost able to hold the business to ransom because they're so powerful. And as sales leaders, what we need to be thinking about is how can we introduce consistency so we're getting our B and C players replicating the behavior of our A players. So as we jump on, I talk a lot about sales velocity and the delta between top performers and the rest of our sales team, and last year we saw that velocity beat the highest we'd ever seen. And a lot of questions have come back around, well, how is that velocity calculated?

05:20Sales velocity and the 11x velocity delta

5:20 And so I thought it'd be useful for your viewers to see it. So, deal velocity or sales velocity is a great metric to use when you've got an organization that's selling different solutions to different markets at different price points. Because what we're really looking to do is distill it down to a kind of a dollars per day value that each seller is contributing to the final number at the end of the year. And so you can calculate that by taking average deal accounts, the total number of deals, times by average deal value, times by win rate, and dividing that by the time it takes to close the deal. And it's a great way of kind of consolidating

5:58 and giving you a consistent view across the business as to which go-to market motion is giving you the best outcome. Now, you can see from the data that top performers are, on average, managing over two and a half times more deals than the B and C players. They're also sourcing more of their own opportunities themselves. We can also see that the top performers, they're much better at targeting ICP. They can filter through the leads coming through and they find the opportunities that are most likely to match ICP. And they're ACV, the average contract values are materially higher than the average seller. The win rates are also materially higher.

6:33 We're gonna talk a little bit more about what those top performers are doing differently to everybody else. And their sales cycles tend to be shorter as well. So when you bring all of that together, we can see where this velocity delta of 11x is coming from. - What I really like about this is that it really brings in the whole picture of a seller's performance. Not just looking at how much did they close because that's typically, you know, you would sort, okay, who closed the most? But you may find, maybe this one didn't close exactly the most, maybe they're in the third or fourth spot, but they're much, much more efficient.

7:05 And maybe if you get them in a better territory, they can even outperform your top performer. So I really like that it distills all of that into something that'll normalize the number of metrics that can be on a seller and make it really digestible. - Yeah, I absolutely agree. And velocity delta is a great number to monitor month after month, quarter after quarter, and to see everybody should be getting better. Or another data point I really love is coverage requires a quota. You wanna see that number coming down over time. And they should be doing that by getting better at the way that they're doing their job. So when we look at the bow tie,

07:44More leads, but fewer ICP leads

7:44 we can see that the volume of leads coming into the business over the last year has actually jumped dramatically. So most businesses were missing quota in 2023. So what did they do about it? Well, they just spent more money on marketing. And that's good in principle. And we saw a much closer alignment between sales and marketing with the conversion rates up a third. The challenge is that just because an opportunity has been identified coming through a lead, and maybe it's even been qualified into sales, it doesn't mean it matches ICP. And in fact, one of the challenges sellers that perhaps haven't gotten as much experience as our top performers have

08:20The right side of the bow tie: expansion and retention

8:20 is when we're spending so much more money on marketing and generating so many more leads, knowing which ones are real, which ones are the ones I should be spending time with. And that we see flushed through to the numbers as we go. Now, on the retention side of the business, looking at, so average win rate across the market, we saw last year was 19%. And we can see that the retention levels are really interesting data points around retention. So people are becoming a lot more focused on the return on investment they're getting from their current supplier. I'm sure we've all experienced a lot more customers coming in wanting to negotiate on their renewal.

8:58 And the expand, but the other really interesting data point here is looking at the win rate or when we create an expansion opportunity. And so while the win rate is only 19% on new logo revenue, if you generate an expansion opportunity within a customer, you're 45% chance of winning that deal. Now, while I'm talking about expansion, it's worth noting, we saw from the data that defining working with the right personas within the customer is so key. So for example, if in the last two QBRs before your renewal, you're with the C-suite, you are seven times more likely to open up a cross-seller opportunity. Now, unfortunately, if you're doing those renewals

9:40 below the C-levels, you're four times more likely to churn the customer. So really understanding, it's not just about the fact that you are doing your QBRs with the customer, but which personas are we engaging with? And are we still, we need to be just as multi-threaded or thinking about being multi-threaded on the right side of Bowties, we have been historically on the left-hand side. - Yeah, historically customer success and post-sale renewal account management has not gotten the attention it deserves, but the companies that can perform on that side of the Bowtie really, really well, I mean, it just continues to compound year over year,

10:16 especially if you can keep that revenue retention really high. Another, just a quick question too, I'm really surprised the lead volume, lead or MQL to SQL volume, I'm really surprised that that has gone up as much as it has. Do you think AI has played a factor in this as well, just giving people the ability to add more in the top of the funnel? - I think it's actually dangerous. I think that just trying to warm up the ocean or trying to bore the ocean is a real challenge for most organizations. I think just because you've got more leads coming into the business doesn't mean you've got more ICP leads coming into the business. - Right.

10:54 - And I think we've seen much, much greater alignment between marketing and sales, primarily because we're seeing a big shift towards full sales cycle, full cycle sales people. So while five years ago, the trend was to having specialisms, different people at the top of the funnel, different people running the sales process, perhaps a different person closing the deal, and then certainly a different person opening the customer once the deal was closed. We've seen a huge shift this year to full sales cycle individuals. And we'll talk a bit more about that as we go, but where people are responsible, not for just generating the leads,

11:31 but also running the sales process and actually retaining that customer perhaps for the first year after they've signed the deal. And that was the world I grew up in when I was first in sales, and of course the world changed for a period of time. But we're seeing a big shift back to this kind of full sales cycle sellers. - Do you have an opinion on which is more effective and maybe why? - I think it depends on your motion. I think the reality is that we never really solved the problem of handover between one department and the next. And so while we tried to, while it's great to have single purpose vehicles that are excellent at qualification

12:09 or excellent at sales cycle or closing or customer success, the problem is that it's not customer centric. And from the customer's perspective, what I wanna do is build a relationship with an expert, a subject matter expert, and I want them to help me with my buying process. And at the end of that, I wanna build enough trust with that individual I'm gonna sign a contract with them. And ideally I want that relationship to continue as I get onboarded and I get rolled out. And while aspirationally we thought we could do that by handing people from one department to the next, historically we found that didn't necessarily happen

12:4352% of new revenue comes from existing customers

12:43 and it had a big impact on retention and win rates. - Makes a lot of sense. - So this year is all about unlocking profitable efficient growth and what those best practices and insights might look like. So one of the really interesting data points from last year is that 52% of new revenue didn't come from new logos. It came from existing customers. And so as a commercial leader, as a go-to-market leader, if you're investing more of your time in your sales team because their hair is spicier, their ties are wider and they're louder, that's not necessarily the place where you need to be spending them. That's not where your revenue is,

13:22 the majority of your revenue is actually coming from. So really understanding what that opportunity looks like is key. And we saw the businesses that lent into success last year were able to achieve fantastic results. And more often than not, you'd see their success team actually pick up the slack where maybe the sales team didn't quite hit quota. - That's actually a shocking statistic. I would have, if you were to ask me, and I'm looking at data like this all the time, but haven't maybe sorted it exactly this way, I would have thought it'd be much, much lower. 52% of new revenue coming from existing accounts,

13:56 more than half the revenue coming from existing. It's really, really shocking. - I agree with you. And look, the win rates are higher, the cross-sells and up-sells doesn't take as long. You don't need it to be as multi-threaded. And we'll jump into all of that as we go. But we saw in certainly last year where there were bumps in the road, what kept businesses growing was coming more from existing accounts than it was from new ones. Now, I mentioned this earlier, just 14% of sellers generated 80% of revenue. And your subscribers can see all the different data points here between our top performers and the rest of our sales teams.

14:3014% of sellers, 80% of revenue: a leadership problem

14:30 But really getting, this stat to me was one of the most shocking. We're living now in a world where there's an ever smaller group of top performers that are, that were responsible for generating the majority of our new logo revenue. And that's a real challenge for businesses. And so what I found, what you find is that you've got kind of two ways of addressing that problem. We can either acknowledge that it's a leadership problem and we need to invest better at, we need to invest more at how we onboard our sellers and how we help them to understand what best practice looks like and what their playbooks or what the playbooks of the top performers are

15:10 and breaking those into bite-sized chunks so they know what the best next action is to win. Or we can just get rid of the bottom third of our sellers, hire everybody else's bottom third of sellers and just spend more money on marketing. And of course, unfortunately, more often than not, there are people choosing the latter rather than the former. So for me, this is a leadership problem, not a seller problem. Sellers by definition are motivated to win. And it's our job as leaders to make it easy for them to win. And if we can show them in a simple format, if we can show them in pictures that an 11-year-old can understand what they're doing,

15:54 what the top performers are doing to win, they will follow that playbook. And I can give you lots of examples of where we've done that in the past. - Yeah, I think it's such a good opportunity. Just raising the floor a few degrees can have massive impacts on the business. So it's not like there's only marginal gains left on the top performers, I'm sure. But if you can get the rest of the team, if you can get 85% of the team rowing a little bit better in sync, I mean, it'll have a huge impact. So I also don't want people to take this as, oh, maybe we only hired 15% of the right people and maybe we should just cut the rest of them.

16:35Turning benchmarks into pictures, gates, and triggers

16:35 And then that's what the issue is. I don't know if it's a talent sourcing problem, just more of a process and enablement problem. - Yeah, I absolutely buy into that. The idea that you're gonna get rid of all of the performers that are, all of the underperforming sellers and then suddenly hire just a whole team of top performers is just never gonna happen. But what we need to do, when you turn it into pictures, so for example, we had a customer the other day, their top performers had a win rate of 38%, but the average performers had a win rate of just 12%. And so we looked into the data, we turned it into some pictures for them,

17:07 we showed them, look, when you leave stage two of the sales cycle, you've got an average of three stakeholders actively bought into your sales process, but your top performers have got an average of six stakeholders and they always have a finance persona with an engagement score above 67. Now, and by doing that, they're able to achieve a win rate of 38%. And when you show it to them in that simple format, suddenly they understand why you're asking them to be more multi-threaded and why it's important to have a finance persona engaged in stage two in the sales process. But we need to be able to show them not just what benchmark looks like,

17:41 but we need to be using those benchmarks as gates and triggers before they're allowed to leave a certain stage in the sales process. And once everyone's bought into it because they can see that actually it has a big impact on win rates, suddenly the conversation with the seller is, with the buyer, we're empowering our sellers to have a difficult conversation with the buyer about, look, I wanna run this sales process the way you want to receive it. However, unfortunately, my manager will not let me leave stage two of the sales process, will not allow me to introduce you to our solution engineers until I've at least had an hour

18:12 with your finance persona or this particular contact or had some engagement with an economic buyer or a budget holder. And so by enabling them with the data, by showing them how they win, they've got the tools they need to have any difficult conversations with the buyer. And if required, they can close off opportunities and they're never gonna win anyway a lot sooner and focus on something more productive. - Yeah, and I think people forget about that part a lot. Of course, yes, you can get them engaged and move them along, but I think a lot of reps are spending a lot of time on opportunities that are never gonna amount to anything.

18:48Time kills all deals

18:48 And it's a huge waste of time and resource. - So another great data point that we lean into with our customers is trying to understand the average number of days you spend in stage when you win versus when you lose. And so time kills all deals. And if after two weeks, you're not out of a certain stage, then the win rate starts to drop dramatically. And by four weeks, you're down to 5% win rate. What's the point in keeping it, right? And actually, if you know that after day 15, you want to be asking the seller whether this is a real opportunity or not. And if they are unable to move that opportunity onto the next stage or get enough information

19:24The return of the full-cycle seller

19:24 from the buyer to do so, then either close it off as lost, try and course correct by a manager getting involved with the deal or even handing it over to a different type of seller and just try and move on. Because actually that strong approach means that we start spending more of our time on deals that close one round than close lost. Pipeline is a vanity metric if the deals aren't real. - Totally agreed. - So we talked about this one earlier. We saw 46% of companies now expect sellers to prospect close and grow accounts. Now, I must say I'm a fan of this 'cause this is what I grew up with. And I think there are different motions

20:03 that are right for different businesses, but we see this number increasing moving forward. We think this number will be greater next year than it is this year. And we talked earlier about the reasons behind that, but the buying, it's not about the selling experience, it's all about the buying experience. And so we've seen this full cycle approach really be a big change in the market. - I totally agree. And when I first started, my first job was, they called it an account manager, and I've reported to a regional manager. The regional manager owned all revenue of that territory. New, existing, and then I was basically their Robin, their Batman, I'm Robin.

20:51 And they would put me on maybe, hey, go manage some of these existing accounts, the ones that are maybe low value. But if there's a big opportunity in one of those existing accounts, he was flying in to manage that. And then I was helping create proposals, materials, whatever it is. And then I could help on the new business side a little bit too. But I think it makes total sense because your biggest opportunities might be with existing accounts. And historically, what they would do is you would take your more junior resources and put them on existing and keep your more senior on new. But that's not aligning the best talent with the best opportunities.

21:25 - I absolutely agree with that. And if you think about it, it's crazy, right? So let me get this straight. I'm gonna spend three months building a relationship with the economic buyers to the point where they trust me so much, they're actually gonna sign a contract with me. And then there's this massive opportunity. We saw that the window for a cross-sell up-sell is like five times higher in the first six months of the contract, right? So instead of allowing the seller to continue on that journey and own that relationship with the buyer, we give it over to somebody else who hasn't got that relationship and it just doesn't make any sense.

21:59 So the other great thing about this approach is that the seller isn't obsessed about getting the entire deal done day one. They're quite happy to sign a small part of it because they know they can keep going on that sales process. - Right, I like that part a lot. They can be strategic. They don't have to be super pushy. They get the biggest contract possible right up front. They can get something started earlier. Hey, let's start this right now. Little proof of concept, maybe smaller revenue, and then they know what the end game is and they still have incentive to be in it. - Absolutely, get that damn contract signed quickly. - That's the hardest part.

22:34AI and how much of the day reps actually sell

22:34 - And then we can worry about the price of the deal later. - Right. - So we also need to think about how we're spending our time and average performers that aren't using AI are spending about 20% of their day actively selling. But top performers are getting close to half of their day now selling it, especially if they're using AI enabled tools now. And so this should be table stakes. If your sellers are not using some sort of AI to help them with their go-to-market motion, with their messaging to their customers, you need to be thinking about that as well. But AI can take lots of different forms, and we'll talk a little bit about that as we go forward.

23:13 But it really matters how much of our day we're actually speaking in front of customers because in B2B sales relationships drive revenue. And the more people we speak to, the more engagement we have, the more relationships we build, the more revenue we'll generate. And so we need to get out of our sellers' way and take away any admin burdens and use AI a way to enable them to spend more time with prospects and customers, not less. - Yeah, and I also think, and I'm sure you're gonna get into it in a little bit, I think there's the efficiency, but then there's also the quality. I'm using AI all the time to, hey, check my response to this.

23:52Where the best leads come from: referrals and partners

23:52 Can you review this proposal that I'm about to send? Making sure that I'm spending time with the best opportunities that are in our pipeline. So I think there's efficiency, but also effectiveness and equality aspects too. - Very good, and I agree. So we also had a look at source of opportunities of what's giving us the best bang for buck. And again, I think once you look at the data, it's no surprise that referrals from partners is giving people the best return on investment. It's giving us the most efficient leads that we should be working on. Ultimately, the warmer the lead is, the faster they close, right? And community and partnerships

24:33 are so important in this market. How many times, you and I both in Pavilion, how many times do we see the Pavilion Slack channels? Does anyone have a recommended supplier for X or for Y? Or having a problem with this supplier, can anyone recommend somebody else? They might take a recommendation from somebody in the community that they've never even met, but because they're part of that community, it means a lot to them. So making sure that you've got a structured partner referral program is really key. And we saw that really only just over a third of businesses now have a structured partner program in place. And so it takes money and time to achieve it.

25:10 I mean, I don't think we got our first deal to a partner for 18 months, but we now get 30% of our revenue through the partner channel. - Oh wow, and I think a lot of people aren't committed to that timeline. When you go three, six months, you haven't seen the results yet. You have to be very committed and strategic about it. - Yeah, agreed. Inbound performed better than I was expecting. Outbound performed worse than I was expecting. I think we've got to be a little bit clearer with our outbound resources around what ICP really means. Everyone is excited about getting on an outbound call and getting meeting booked, but we need to be a lot stronger

25:46 about accepting that meeting as an opportunity. And there's a lot of energy going in, a lot of outbound activity happening and a lot of opportunities at the top of funnel that perhaps shouldn't have actually made it into the sales cycle. We also saw events underperform as well. I think there's lots of other reasons for doing events, but from a pure lead generation perspective, it's not the most efficient way of spending your money. Now, I mentioned earlier the impact of engagement on win rates. When we look at the right side of the bow tie, you can see here within Epsil, part of the way we work is we plug into things

26:21Engagement scoring and revenue insights as a service

26:21 like your phone systems, your mailboxes, your calendars. So we're scoring the momentum or engagement that you have with every prospect that you speak to or every customer that you're engaging with. And we're writing that back into Salesforce. So we score engagement out of 100 and it trends up and down over time. But if you maintain a level of engagement above 80 with the C-suite within your customer, you are, your chances of opening up that cross-sale opportunity is so much higher, or sorry, your chances of expanding that account are so much higher than if you didn't, than if you're literally only getting in touch with them a month before the renewal.

27:00 So find a way of engaging with the prospect, find a way of engaging with the customer. So in our business, for example, Epsil's a revenue intelligence platform. We do pipeline inspection forecasting tools. Our whole business model is about getting sellers, we guarantee to get more sellers hitting quota. And that's our value proposition. That's what we take to market. But what we found was once we onboarded a customer, the C-suite, getting them engaged and talking to them about what we're doing in QBRs was difficult to get them onboard. So what we did is we built what we call our inside reports, or we've now developed what we now call

27:36 revenue insights as a service. And so we take all of the insights that are in the Epsil platform and distill it down into a PDF, and we deliver it back every quarter to the senior leadership team. Now, every three months, the whole senior leadership team within the business, they look forward to their meeting with us, because we take them through a report showing them what parts of the businesses are performing and what parts of businesses need attention, or part of the go-to-market motion needs attention. And we do that quarter on quarter, and they can start to see the impact, not just on quarter attainment increasing,

28:06 but on forecast accuracy getting better as well. And it's transformational for them, but also for us, we've now got a real close partnership with the customer, and we're maintaining that relationship with the C-suite, and that's what's allowed us to expand so rapidly. - I think something that you highlighted, I think there's frequency of engagement, but what you're talking about is a very high level of quality of engagement. This doesn't mean have a junior CSM, just send an email every month and check in and ask how they're doing. Create something that's actually valuable and meaningful, gives the C-suite a reason to meet,

28:42 and then have your senior resources coming in and meeting with them as well. I think people may put the quantity effort in, but I don't see a lot of companies doing a really good job on the quality of engagement. - Yeah, I heard a lovely term the other day of, service as a software, which I thought was quite interesting, which is effectively what we were doing. We're doing nothing more than an enhanced QBR with the customer, but we've tailored it to their needs, and they look forward to those sessions now. So exactly that. You're the subject matter expert at what you do. If you've got half an hour in the C-suite of your customer every three months,

29:21 how can you use that to throw them away, to rock their world? The idea of, well, we all support the same sports team, so they're definitely gonna meet us. No one cares. If you can't move the bar, if you can't help them achieve their outcomes, they won't wanna spend time with you. But on the other side of that coin, if you can move the bar, they'll look forward to their sessions with you. And for us, it's been transformational, not just within each customer and getting the upsells across the customer base, but that's led to the C-suites within our customers introducing us to their PE house that owns them, that's then introduced us to other companies

29:59 within their portfolios. So really maintaining that final reason and justification for investing for the C-suite at your customers to wanna spend time with you. - Love it. - Okay, so last year we looked at specifically qualification methodologies. We looked at things like MedPick and adoption of those. This year we expanded that out to look at all of the techniques and tools that top performers are doing when it comes to engaging with their customers. And so we've put it all here on the graphic and you can see a really, try to make it as easy to understand what the difference between top and low performers is in different areas of that discovery process.

30:00What top performers do differently in discovery

30:38 And obviously, qualification is a key component there and you can see down at the bottom right that the top performers are doing a lot more qualification than the B and C players. But it's not just qualification. It's things like identifying the pain points and the discovery. It's active listening tools and processes. It's really getting under the skin of what those next steps are. You're not leaving a meeting until the next steps are booked in and confirmed. And that preparation process and really understanding what the customers try to achieve, top performers are just doing things differently. And the sooner you can get under the skin

31:13The late-stage problem is really an early-stage problem

31:13 of what your top performers are doing in a quantifiable way and use that to prompt the B and C players, the quicker you can introduce consistency within your organization and you'll have better outcomes. So I thought this would be useful for the community, looking at what's happening with those late stage deals between top performers and lower performers. 'Cause the data in the early stages is not dissimilar. But what we're finding, and one of the gotchas a lot of businesses find is they think they've got a problem at late stage. We've got a stage five problem. We're losing all our opportunities at stage five or six for sales process.

31:50 But in reality, when we look at the data, one of the unique things we do at Edster, when you look back at the deals that you've posed one or lost in the last year, it's not unsurprising to find that they've got one contact and three emails associated to the deal in Salesforce. So we built an engine that goes back through the last year's worth of traffic in your mailboxes, your calendars in your phone systems. And we go back and fix the dirty data associated to those opportunities. Now, so why would we do that? We do it so that we can understand the benchmarks. We can start to understand what good actually looks like, what took place.

32:22 And what's fascinating, when we analyze the call recordings from the discovery calls from the last year's worth of calls for low performance, even though they think they had a problem at late stage with that sales process, in fact, the problem was they weren't qualifying the customer well enough in the early stage. And so more often than not, sellers that have a problem at late stage, the issue isn't that, or have deals stalling and slowing down at the late stage. The issue isn't necessarily what's going on in that stage. The issue is that we never set the customer up for success in the first place. We didn't qualify them well enough.

32:56 We didn't have a closed plan that everyone bought into. We didn't have the right stakeholders bought into the process. We hadn't qualified whether they had a budget. We didn't lock down what time span they were working to. We didn't understand what security and privacy and legal review we would need to go through, et cetera, et cetera. So investing more time in those early stages and getting really structured about that and then showing the customer, look, if we invest an extra day in this, or an extra hour in this session, we're gonna, it's gonna make the sales process or the buying process for you a whole lot better. And the top performers are ruthless

33:28 about the way they qualify. In fact, the top performers close off 30% of their opportunities at the discovery stage across the board. They are not afraid to get rid of opportunities that are gonna waste their time. But they're also very good at explaining to the buyer why we should invest time now because it will serve us as we go forward. - Yeah, and I think a lot of low performing, maybe even insecure reps, they like to have a lot of pipeline in their name in case they're not closing something and they can show, well, at least look, I'm building pipeline, but it's absolutely phantom pipeline. It's nothing real. It should have been disqualified.

34:03 And this makes so much sense in the data. Like you were saying earlier, people think they have a conversion problem at a late stage. It shouldn't have been there in the first place. So the fact that it's getting there is the problem, not that you can't convert past that stage. - Yeah, now agreed. - Yeah, now I absolutely buy into that. But it's a leadership problem. It's our problem, right? The seller is, allowing a seller to have pipeline that's not real is insane. We know that once we get past 14 days on this stage, the deals are unlikely to close one. Why are you allowing that seller to keep that deal on the pipe? It's our job as leaders

34:42Ruthless qualification and consistent pipeline inspection

34:42 to introduce consistency across the board. Every single pipeline inspection meeting you walk into, there should be no surprises as to what the questions are you're gonna be asking. In fact, EBSTA will automatically prompt the manager and the seller in the opportunity record in Salesforce of all the things that need attention, all the things that you need to ask the questions about. Now, it might be okay that there's no CFO involved in the sales process. Maybe they don't have a CFO, but at least we know that that's a flag. There's no CFO on the sales process. At this stage, normally we wouldn't allow this opportunity

35:13 to continue because we don't have a CFO engaged. "Okay, why don't we have a CFO engaged?" Now, the seller knows you're gonna ask that question 'cause it's in Salesforce. And the manager knows what questions to ask because it's all on the opportunity record. I'm not interested in hearing how great the deals are going. I'm not interested in hearing how much they love you. I'm not interested in hearing how great you've been in the sales cycle. All I wanna do is focus in on how is this deal pacing against deals that look similar to this? And what do we need to do next to move this deal forward? And that structure should be consistent,

35:46 irrelevant of who the manager is running the pipeline inspection meeting and irrelevant of who the seller is. It should be a consistent process. It doesn't matter what geography you're in or what vertical you're working. The process should be consistent across the board. And we need to be ruthless about the way we qualify and inspect our opportunities. - I totally agree. - So I mentioned earlier that we saw a dramatic, we saw dramatic expansion opportunities last year with over half of new revenue, not coming from new logos, but from existing accounts. I thought it'd be helpful for the team, for the community to see the data in a bit more granularity.

36:21 And so not only do we have a much, much better win rate on opportunities that have come from existing accounts, but it takes a lot shorter time to get those deals won. And we need less stakeholders involved in the sales process. So understand what your expansion motion actually looks like. Which personas do we need engagement with to get those opportunities created? And then which personas do we need involved in that buying process? Because that's where the low hanging fruit is in most organizations. Okay, now getting onto a topic that most people aren't that interested in talking about, we now live in an AI world. And it doesn't matter what tools you decide

36:56The AI-era data-quality problem

37:01 if you wanna use, they all have one thing in common. They need good quality, consistent, maintained up-to-date data. And they all have one problem. Salesforce has never got good quality, maintained up-to-date, clean data. - Almost never. - Almost never, unless you're right. So how do we solve that problem? We have to put an engine in place. We can't rely on sellers to be responsible for logging their own activity, creating contacts, keeping those contacts up to date. It's just never gonna happen. I've never seen an organization successfully manage to scale a process. And the problem there is that if you're relying on humans

37:38 and worse than that, you're relying on sellers to do that work. Then you're in a place where you don't believe the benchmarks. And if you don't believe the benchmarks, well then there's no point following your process because well, yeah, the benchmarks are based on incomplete data, so I'll just run it my own way. And all of a sudden we've got chaos again. So while it's a boring topic, solving your data quality issue, and you don't solve that with humans, solving that data quality issue with a machine means suddenly everybody from the seller to the manager to the C-suite have got confidence that the system of record is 100% accurate.

38:16Building a people graph to fix dirty CRM data

38:16 And so how do we solve that problem? Or how big is that problem? We saw that on average 44% of contacts never make it into the database. And over a quarter of those are decision makers. This is, and if you don't even know they exist, how the hell do you know how multi-threaded you need to be? Or how much engagement is required with these contacts? And that's a real challenge. And so we solve that problem by connecting to your mail server and we build a people graph of all the relationships from the last year or two, not just from the sellers, but also the solution engineers and the finance department and the support team. Anyone who's customer facing,

38:54 we wanna know who they're engaging with at our prospect and at our customers. We want a record for those contacts in Salesforce and we want to score that engagement. So every single contact has an engagement score. We'll tell you who holds the relationship when they're last engaged and if the relationship is trending up or down over time. And we write that back into Salesforce so you can do your own dashboards and reports. So a little bit about Ebster. We've come up with a new go-to-market motion for ourselves. We break it into really three big components. Step one is all about fixing that dirty data that we talked about earlier.

39:26Ebsta's three-step motion and quota guarantee

39:26 So once you sign up with us within seven days, we've gone through all your historical traffic and we've gone back into Salesforce and fixed every opportunity you've closed one or lost in the last year. And we've put an engine in place that keeps Salesforce up to date every five minutes. Now we've done that, we're then in a place where we can start to benchmark what good looks like for every different go-to-market motion that you're running. And we use those benchmarks to prompt the sellers inside the Salesforce opportunity record as to what they should be doing next. And then finally, as I mentioned earlier,

39:55 we develop what we call revenue insights as a service where we sit with the leadership team every three months and we give them an audit of how the whole go-to-market motion is behaving and what they should be focusing on next to have the biggest impact on win rates. And with all of that in place, we guarantee to get more sellers hitting quota within six months and/or you can terminate. So those are our brand guarantees at the bottom. - I love it. - Well, thank you very much. So all sorts of insights you should be thinking about that we include in our insight reports and revenue insight reports that I talked about earlier.

40:31Wrap-up: getting the report

40:31 Again, anyone who's interested in finding out more about that, we can talk to you about what those insights might look like. And if they're interested in downloading the report in Salesforce, you can just scan the QR code and the report's completely free. - No, this has been so great, Guy. Really appreciate it. These insights are incredible and you're looking at the data in different ways and people only have this data because they're leveraging EPSA and you're able to look at the data in this way. And especially, I know it's not the sexiest feature of what EPSA can do, but that first cornerstone feature of just getting all the data out of your calendars,

41:09 your emails, your calls into the system, cleaning the data, like you said, that powers everything else that you will use. And any AI tool or platform you wanna bring in, you're gonna need that data to be clean. So I know this has been really insightful for me. I know our audience is gonna love it. And also, we have a full EPSA demo that we will link to this video as well. So if anybody's interested in taking a look at the EPSA platform, we'll be sure to link that in the description as well so they can take a look. - Very good. And if any of your listeners or watchers want to discuss their own benchmarks and compare them to their own insights

41:52 and compare them to the benchmarks, I'm a data geek. I love talking sales. Reach out to me on LinkedIn, mention the podcast, and I'll definitely accept the invite. And I'm looking forward to having those conversations. - Amazing. Thank you so much, Guy. I appreciate you being here. - Thank you, everyone.