EPISODE 24 / FREE LESSON
SaaS marketing attribution
This Founder Cannot Prove Where Any Customer Came From
Attribution is a partial record of a buying journey, not a complete explanation of causality. Use Taploop to inspect what is captured, preserve unknowns, and establish a simple source record the team can actually maintain.
TAPLOOP GROWTH LAB / EPISODE 24Video coming soon
The written lesson is ready below.
THE GROWTH QUESTION
Broken attribution
Useful attribution makes its evidence and blind spots visible; it does not turn incomplete tracking into certainty.
What you’ll learn
- Distinguish first touch, later touchpoints, and self-report.
- Find gaps between marketing and customer records.
- Create an honest source-tracking routine.
BEFORE YOU START
Bring the evidence you have.
- Current campaign links and source conventions
- Signup and customer records with available identifiers
- CRM notes or self-reported discovery answers
- Consent requirements and known tracking limitations
Use information you have permission to share. If a data source isn’t connected, provide a relevant export or ask Taploop to work from the evidence available.
WORK THROUGH IT WITH TAPLOOP
From question to a testable plan.
- 01
Map the evidence trail
Ask Taploop where source information is first captured, how it reaches the customer record, and where it is lost. Use a small set of authorized examples. Avoid exposing unnecessary personal information and do not assume that an unrecorded source means direct traffic.
- 02
Choose a modest attribution view
Keep observed first source, meaningful later touchpoints, and the buyer’s own explanation as distinct fields. Document which view is used in reports. Ask Taploop to show unknowns explicitly and prevent incompatible models from being added together as if they were independent customers.
- 03
Test the whole path
Prepare consistent source naming and a small validation checklist from campaign click through signup to a test customer record. Review any instrumentation change before release. Clearly label test records and exclude them from business-performance reports.
MAKE IT YOURS
A prompt to try with Taploop
Add your company’s context and supporting evidence, then use this with your AI agent connected to Taploop.
Audit how these campaign, signup, and customer records capture acquisition sources. Map the fields and joins, identify missing or inconsistent data, and propose a simple convention. Keep observed first touch, later touchpoints, and self-reported discovery separate. Create an end-to-end validation plan with labeled test records. Preserve unknown attribution and do not claim a source caused a sale.
YOUR EXPERIMENT BRIEF
A traceable acquisition path
Adapt this proposed test to your company. Set the baseline and decision rule before launch.
- Hypothesis
- A consistent source convention can preserve useful acquisition evidence from a known campaign link to the customer record.
- One action
- Implement an approved small tracking fix and validate a labeled test journey before observing real traffic.
- Measure
- Completeness and correctness of source fields for eligible records; report unknown share explicitly.
- Review window
- Validate immediately, then review one to two weeks of real records.
- Decision rule
- Adopt the convention if it survives the full journey. Investigate remaining gaps without retroactively assigning unsupported sources to old customers.
Review the audience, message, owner, budget, and measurement plan. Publishing, outreach, and spending require your approval.
THE FOLLOW-UP
The real-world experiment
The featured company and experiment are still to come. When this episode is produced, this section will include the starting point, the approved action, and a follow-up with measured results.