Why Your Best Leads Show Up as “Unknown” in the CRM
How form changes, lost UTM parameters and CRM overwrites strip the source from your leads, and how to measure, recover and fix it with GTM, BigQuery and Looker Studio.
Marketing reports more leads, sales says they’re junk, and pipeline stays flat. We trace leads from first touch to closed revenue to find where good prospects are lost: in tracking, scoring, routing or the definitions in between.
Funnel problems rarely show up in a single report. They show up as an argument between marketing and sales.
We follow leads from the first click through every form, field, score and handoff until they become revenue, or disappear.
Hidden form fields, UTMs and click IDs that fail to reach the CRM, leaving your best leads with no source.
Scoring models and MQL thresholds that reward content downloads and email opens over real buying intent.
Assignment rules and queues that send high-intent leads to the wrong team or leave them waiting.
Lifecycle stages and conversion points that marketing and sales define differently.
Bot submissions, duplicate records and junk data that inflate lead counts and erode trust.
Connecting leads to opportunities, orders and revenue, so campaigns are judged on customers, not form fills.
An evidence-first process, designed to replace opinion with proof at every step.
Tell us where leads and revenue disagree. We respond with an initial hypothesis and a 30-minute alignment call.
We trace a sample of leads end to end: ad click, form, CRM record, score, owner and outcome.
Conversion is measured stage by stage and by source to find exactly where qualified leads drop out.
You get prioritized fixes for tracking, scoring, routing and definitions, with support implementing them and monitoring the results.
A funnel that marketing and sales both trust, measured from first touch to revenue.
How form changes, lost UTM parameters and CRM overwrites strip the source from your leads, and how to measure, recover and fix it with GTM, BigQuery and Looker Studio.
A deep-dive case study into B2B multi-touch attribution overlap, duplicate conversion tag triggers, and how to verify your true customer acquisition costs.
Usually because something between the form and the sale changed. The lead mix may have shifted, scoring may be promoting low-intent contacts, source tracking may have broken so sales can’t prioritize, or high-intent leads may be waiting too long for a response. We measure each stage to find which one.
A marketing qualified lead (MQL) has shown enough interest to meet marketing’s criteria, such as downloading content or visiting key pages. A sales qualified lead (SQL) has been reviewed and accepted by sales as a real buying opportunity. The gap between the two is where funnel problems hide: when MQLs rise but SQLs don’t, the cause is usually in scoring rules, source tracking or how each team defines a qualified lead.
A lead quality audit traces leads from their first touch through the CRM to closed revenue. It checks how sources are captured, how leads are scored and routed, and how each stage converts, so lead quality is measured with data rather than opinion.
Yes. The stages differ, from demo requests and opportunities in B2B to sign-ups and first purchases in B2C, but the diagnostic approach is the same: follow the lead all the way to revenue.
The diagnostic intake and initial hypothesis are free. Formal engagements are scoped and priced in a separate, signed Statement of Work.
Describe the symptom and the competing explanations. We’ll come back with an initial hypothesis and help you schedule a virtual consultation.