Marketing Attribution: Connect Recorded Leads to Job Outcomes
Attribution helps you understand which recorded marketing interactions receive credit for customer actions. It can support better decisions, but it does not reveal every influence on a sale. Keep the evidence, model and missing data visible in your reports.
Define the outcomes first
Agree on what counts as an inquiry, qualified lead, booked job, completed job and collected revenue. A form submission or phone call is not automatically a sale. Record cancellations, duplicates and refunds in the business system so reports do not overstate results.
Use consistent definitions when comparing campaigns. A cost per form submission should not be compared directly with another campaign's cost per completed job.
Capture the information you actually have
Campaign URL parameters can identify the source, medium and campaign associated with a tagged link. Create consistent labels and test them through landing-page redirects. They do not automatically reveal an unknown keyword or recover an interaction that was never recorded.
For calls, document where each tracking number appears and how it routes. A channel-specific number helps identify that placement, but does not establish every earlier interaction the caller had with your business.
For forms, verify the success event and available source information. Check duplicate submissions and failed requests. Keep names, email addresses and phone numbers out of ordinary Analytics URLs and event parameters, following Google's PII guidance.
Connect records without inventing matches
Within your authorized business systems, connect the lead record to estimates, jobs and actual revenue. Document how records are matched and how repeated inquiries are handled. Leave uncertain matches unresolved rather than assigning a source to make the report complete.
Customer answers to “How did you hear about us?” can provide additional context. Keep them identifiable as self-reported information instead of replacing captured campaign data or treating either source as a complete history.
Explain the model and evaluate business value
Google Analytics describes attribution as assigning credit across interactions using rules or an algorithm. Record the model and reporting window used. Different measurement systems can assign credit differently, so reconcile definitions before declaring that one report is wrong.
Review lead quality, booking rate, completed work, acquisition costs and contribution to the business together. A high-value job alone does not justify increasing spend. Consider the sample size, time needed to close work and available capacity.
Report unknown sources and incomplete records alongside attributed results. The goal is a measurement process you can explain and improve, not an apparently perfect journey assembled from assumptions.