Wrango links script lift attribution to Google and Meta HCP campaigns

Wrango launched an offline conversion integration that lets pharma marketers measure prescription outcomes inside Google Ads and Meta Ads Manager for HCP campaigns. The move is designed to improve ROAS tracking and give both platforms stronger clinical signals to optimize media toward prescribing behavior. Why it matters: - Pharma brands and agencies can now connect HCP ad exposure to prescription outcomes inside the media platforms where they buy and optimize campaigns. - Wrango says the integration can improve campaign-level ROAS measurement and help Google and Meta train their algorithms on clinical-conversion signals. - The launch targets a long-standing measurement gap in healthcare marketing, where impression-level matching has been out of reach. What happened: - Wrango launched what it calls the industry’s first integration that brings claims-based script lift attribution directly into Google Ads and Meta Ads Manager for HCP campaigns. - The integration is available now for US campaigns activated through Wrango. - Pharmaceutical brand teams and agencies can request a demo at wrango.io . The details: - Wrango enhances its claims data feed with hashed digital identities of authorizing prescribers. - The company delivers those records as offline conversion events into Google Ads through Enhanced Conversions and into Meta through the Conversions API. - The event payload includes only hashed professional identifiers and the brand-level conversion fact. - No patient information is included or shared at any point in the pipeline. - The integration covers Google Search, YouTube, Gmail, Google programmatic display and video, plus Facebook and Instagram across Meta inventory. - Brand teams and agencies can measure script conversions in-platform, calculate ROAS at the campaign and ad group level, and feed optimization models with conversion data tied to clinical action. - Wrango said the product is best suited for high-velocity prescription products with short time-to-prescribe and a large addressable NPI prescriber base. - Wrango also said it uses an internal tiered fit profile and confirms volume thresholds and signal density with each client before activation. Between the lines: - The release frames closed-loop measurement as an optimization tool, not just a reporting layer after the fact. - Wrango is betting that enough qualified conversion volume can make walled-garden machine learning more effective for healthcare campaigns. - The company also positions privacy as a selling point by limiting uploads to hashed professional data and conversion facts. What’s next: - Wrango expects pharma marketers and agencies to test the integration on campaigns where prescription volume is high enough to generate usable signal density. - The company is offering demos now as it looks to expand adoption among US HCP advertisers. The bottom line: - Wrango is trying to make prescription attribution usable inside Google and Meta, turning HCP media from a traffic game into a clinical-outcome feedback loop.