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Free PDF · RevOps Health Check

10 Signs Your Pipeline Data
Is Broken

The quick self-assessment every B2B SaaS revenue leader should run. Free PDF — enter your email and we’ll send it straight to your inbox.

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10 signs your pipeline data is broken — and how to fix them. PDF delivered to your inbox.

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The 10 Signs

Each sign comes with a diagnosis and a concrete fix. If you recognise 3 or more, your revenue data needs a rebuild — not a cleanup.

01

Your MQL count and SQL count never agree

Marketing and Sales are measuring the same leads differently — a process definition problem, not a data problem.

02

You can't trace a closed deal back to its source

No end-to-end attribution means you're optimising spend on gut feel.

03

Pipeline reviews require manual spreadsheet prep

If someone has to export and clean data before every forecast call, your CRM is not your source of truth.

04

Marketing and Sales argue about lead quality every quarter

Disagreements about quality are almost always disagreements about definition. One criteria set fixes most of it.

05

You have multiple "versions" of the conversion rate

Different dashboards showing different numbers means different people are measuring from different stages.

06

New reps take 3+ months to get up to speed on process

Undocumented process lives in people's heads — and leaves with them.

07

You don't know which channel drives your best customers

LTV by acquisition channel is the metric that separates efficient growth from expensive growth.

08

Deals stall without a clear next step in the CRM

Stages without exit criteria let deals age in place. A 90-day-old Proposal stage is not a pipeline.

09

Your churn data lives in a different system from your pipeline data

If retention and expansion aren't connected to acquisition, you can't calculate true CAC payback.

10

Board questions take more than 2 hours to answer

If a board ask requires a data request, you're not operating from a unified system.

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