Two Pipelines
Ross Sylvester, Co-Founder & CEO, Adrata | Feb 2026 | ~4 min read
Same company. Same quarter. Same product. Same price point. Two teams reporting to the same CRO. And by the end of Q3, one team had produced twice the revenue of the other on half the pipeline.
The company sold a $200K ACV platform to mid-market technology companies. Team East and Team West each had eight AEs, roughly equal territories, and identical quotas. At the start of Q3, the CRO set an explicit goal: 4x pipeline coverage, meaning each team needed $6.4M in pipeline against a $1.6M quota.
Both teams hit the coverage target. Both had $6.4M in pipeline by the end of July. And then everything diverged.
Team East built pipeline the traditional way. Volume. Their SDRs booked every meeting they could. Their AEs advanced every opportunity that had a pulse. If a prospect took a discovery call, they got a demo. If they sat through a demo, they became an opportunity. If they became an opportunity, they went into the forecast.
By August, Team East had 38 opportunities. Average deal size: $168K. Median number of stakeholders identified per deal: 2.1. Median days in pipeline: 34.
The pipeline looked full. The coverage ratio looked healthy. On every Monday forecast call, Team East reported confidence.
Team West built differently. Their AEs were more selective about what entered the pipeline. After discovery, they ran a 48-hour research sprint on every potential opportunity: Who else at this company would be involved in the decision? What department controls the budget? Has this company bought similar platforms before? What does the org chart tell us about the decision process?
Opportunities that cleared this screen entered the pipeline with fuller context. Opportunities that didn't -- the ones where the AE couldn't identify at least four stakeholders and the likely economic buyer -- went into a nurture sequence instead.
By August, Team West had 19 opportunities. Half as many as Team East. Average deal size: $211K. Median stakeholders identified per deal: 5.8. Median days in pipeline: 22.
On every Monday forecast call, the CRO looked at the numbers and quietly worried about Team West. Their pipeline was thin. Their coverage ratio was barely 2.5x. By every standard metric, they were behind.
Q3 ended on September 30th.
Team East closed 6 of their 38 opportunities. Win rate: 16%. Total bookings: $1.01M. They missed quota by 37%.
Team West closed 9 of their 19 opportunities. Win rate: 47%. Total bookings: $1.90M. They exceeded quota by 19%.
The CRO studied the numbers for a long time.
What happened was not complicated. But it required looking at the right data.
Team East's 38 opportunities included at least 20 that were never real. They had a contact who took a meeting. They had a problem that vaguely matched the product. But they did not have a buying committee. They did not have budget authority identified. They did not have the organizational context to know whether the deal could actually close.
These deals consumed enormous resources. Each one got discovery calls, follow-up emails, proposal drafts, demo customization, and weekly internal pipeline reviews. The AEs spent their time across 38 accounts and their attention across 80 stakeholder relationships. They were spread thin on real deals and thick on fake ones.
Team West's 19 opportunities were smaller in number but denser in quality. Each one had a mapped buying committee. Each one had an identified economic buyer. Each one had a clear understanding of the decision process -- who had to say yes, in what order, and by when.
Because the AEs had fewer deals, they invested more deeply in each one. The average number of unique stakeholder touchpoints per deal on Team West was 14.3. On Team East, it was 4.7. Team West's deals moved faster because the AEs were multi-threading from day one, not discovering missing stakeholders in month three.
The most striking statistic: Team East's lost deals spent an average of 67 days in pipeline before dying. Team West's lost deals spent an average of 28 days. Team West killed bad deals faster because they had the information to recognize them earlier. Team East kept bad deals alive because they didn't know enough to let them go.
The CRO made one change for Q4. She did not restructure the teams. She did not change the comp plan. She did not adjust quotas.
She changed the pipeline entry criteria. Every opportunity across both teams now required four fields before it could enter Stage 2: economic buyer identified, minimum three stakeholders mapped, decision timeline confirmed, and a one-sentence description of why this company would buy from them rather than build internally.
Four fields. Maybe fifteen minutes of research per deal.
Q4 pipeline across both teams dropped by 30%. The coverage ratio fell from 4x to 2.8x. The CFO asked whether the team was struggling.
Q4 bookings increased 22% over Q3. Combined win rate went from 24% to 41%. Average days to close dropped by eleven.
Less pipeline. More revenue. The answer had been in the data the entire time. The problem was that nobody had been looking at the right data.
The pipeline number on Monday's forecast call told you how many deals existed. It did not tell you how many of them were real.