Editorial collection
Measurement and Marketing Intelligence
Collect trustworthy signals, reconcile systems and make marketing decisions without letting every platform grade itself.
Adobe Experience Cloud
Why Adobe Analytics, Target and CJA numbers do not match
Adobe Analytics, A4T, Target and CJA can all be correct while reporting different numbers. Reconciliation starts with population, unit, identity, time and processing—not with forcing dashboards to agree.
Read moreAdobe Experience Cloud
A production-ready Adobe Web SDK needs more than a successful network call
Adobe Web SDK reliability depends on consent timing, identity state, event contracts, personalisation rendering and performance. Testing those concerns separately leaves production gaps between them.
Read moreAdobe Experience Cloud
Adobe Target Recommendations is a content system, not only a product carousel
Articles, videos, services and offers can all become Target recommendation entities. Success depends on a governed catalog, meaningful behaviour, eligibility controls and an experiment that measures more than clicks.
Read moreData & Analytics
Why web analytics implementations quietly become unreliable
Analytics rarely breaks in one dramatic event. It decays through undocumented changes, duplicated tags, consent behaviour, shifting definitions and ownership that ends at launch.
Read moreData & Analytics
Why your backend, analytics platform and dashboards disagree
Different systems can report different numbers without any of them being broken. The real work is defining what each number means and governing the relationship between them.
Read moreData & Analytics
Every marketing platform claims the conversion
Google, Meta, LinkedIn and analytics tools can all claim the same sale. Governed attribution separates optimisation signals, business outcomes and causal evidence.
Read more