Post by Timothee Bardet
Managing Director @ Z Digital Agency š | Co-Founder @Sommelier.bot | Cyber-Security Content Editor | Board Member
š š®šæšøš²šš¶š»š“ š®šššæš¶šÆššš¶š¼š» š¶š ššš¼šæššš²š¹š¹š¶š»š“. Most CMOs mistake it for math. Our clients and myself as well... Every dashboard offers a clean answer to a messy question. Which channel drove the conversion? GA4 (or any server-side tracking) says one thing. Meta says another. HubSpot says a third. The numbers sit there in confident decimals (lol). The CMO reports them upward as if they were measured. They were not. They were authored. š In the privacy era, most conversion data is partly modeled, partly observed. The platform claiming credit also writes the rules for how credit is assigned. That is not data. That is a partial story dressed as data story. The only attribution that survives the privacy era is causal: ā Run a real incrementality test on your largest channel ā Use Meta Conversion Lift or geo holdouts to isolate the effect (even with top notch tracking, in EU we lose 40% of conversion attribution for Meta, and only 10% elsewhere) ā Compare what the dashboard reports with what the holdout actually reveals šÆ The question is not which attribution model is best. It is whether the marketing function is šŗš²š®šššæš¶š»š“ šš¼ š¹š²š®šæš». Or measuring to defend decisions it has already made. Where is my brand reach, organic content and pre-funnel SEO are all helping ads platforms to learn? One compounds knowledge. The other compounds confidence in claims that may not survive one clean test. At Z Digital Agency we have one of the best Tracking & Compliance team in Switzerland, we get back a lot of data, but we don't mistake them for a static story. #MarketingMeasurement #B2BMarketing