Attribution data breaks at multiple points in the funnel. UTM parameters get dropped or overwritten. Campaign members are created with the wrong date because Salesforce date fields can't be edited after the fact. Touchpoints are missing because different channels log engagement differently. And the attribution logic itself — which touchpoints count, how they're weighted, which date applies — often lives in custom APEX code that only one person on the team understands, and breaks silently when something upstream changes. Openprise addresses all of these systematically: UTM values are corrected at the record level. Custom attribution date fields are populated according to campaign type logic your Ops team controls. Campaign member creation is automated and consistent. And all of the attribution model logic runs in Openprise — not in brittle CRM code — where your team can see, test, and update it without a developer.

Openprise appends UTM values directly to campaign lead records as part of your standard intake workflow — before those records reach Salesforce. This replaces the common pattern of relying on landing page capture, which fails when a prospect doesn't click through a tracked link, when UTMs are stripped by a browser, or when a form submission doesn't pass source data correctly. With Openprise, your Ops team defines the UTM population logic — which campaign source, medium, and content values apply to which campaign types — and Openprise applies them consistently every time a new record enters the funnel. A RevOps vendor using Openprise used this approach to replace their fragile Salesforce APEX code entirely, build three attribution models in a matter of weeks, and save $80k in tech consolidation costs in the process.

Yes. Because Openprise operates outside your CRM and MAP as a processing layer, it can calculate multiple attribution model outputs — first touch, last touch, linear, U-shaped, custom — and write each result to a separate field in Salesforce without those models interfering with each other or competing for the same record logic. Your Ops team builds each model in Openprise's no-code rule builder, defines the touchpoint inclusion criteria, sets the date logic, and maps the output to the correct Salesforce field. When your attribution strategy changes — a new model, a new channel, a new buying committee role to capture — you update the logic in Openprise. Salesforce stays as the reporting layer, not the calculation engine.

The hardest attribution problem isn't capturing touchpoints — it's knowing which touchpoints actually matter. An email reply that says "happy to reschedule" is not an engaged buying signal. An email thread that discusses product pricing is. Openprise uses AI to classify engagement records — email threads, call transcripts, support interactions — and determine whether they represent a meaningful touchpoint that should be included in your attribution analysis. This filtering step keeps noise out of your model and improves the accuracy of your reporting.

Attribution is only useful if the people making budget decisions trust the numbers. That trust breaks when models produce inconsistent results, when the underlying data is known to be dirty, or when the logic that drives the model is locked inside code that Ops can't touch. Openprise gives your team a single, transparent, maintainable attribution layer — one where your CMO can ask "why did this campaign get credited here?" and your Ops team can trace the answer directly to a rule in Openprise rather than a piece of APEX code written three years ago. Securiti runs all of their MQL qualification and attribution logic entirely in Openprise, with Salesforce as the output layer for reporting. The result is attribution data that is accurate enough to drive real budget decisions — not just directionally interesting.