Fireside Chat #2 – Customer Data Platforms, Worth It?
Topics Covered What exactly is a Customer Data Platform and what is it supposed to do? Why is it that there has been an explosion [...]
Topics Covered What exactly is a Customer Data Platform and what is it supposed to do? Why is it that there has been an explosion [...]
Problem This isn’t actually a new problem. It’s the same issue that existed with Universal Analytics but got carried through to GA4. The issue sounds complicated but [...]
Questions What is the difference between a 1st party cookie, a 3rd party cookie and a server-side or http cookie? What impact does the loss [...]
Results >300 domains within 3 months: complete, uncaveated & delivered before the UA sunset deadline. Game changing product insight: with comprehensive & dynamic product engagement data, BMW [...]
Product string (s.products) has for years been one of the most powerful features of Adobe Analytics, but it has its limits. Whenever DMPG implements we always find [...]
Results 95% time saving when configuring complex dynamic content variants up to 50% direct sales boost (upgrades contributed to sales increases reaching 50%) scale: personalisation now ubiquitous [...]
Results Reach: suite of recommendations live across >40 markets. Rigour: revenue tied to clicked, viewed & carted products provides complete picture of behavioural impact - immediate, direct [...]
One of the biggest concerns that people have, with the migration from Universal Analytics (UA) to Google Analytics 4 (GA4) is that some of the essential metrics, which they used to rely on, are now defined differently. Therefore discrepancies between the new and old metrics will make comparisons to previous periods problematic.
One of the biggest concerns that people have, with the migration from Universal Analytics (UA) to Google Analytics 4 (GA4) is that some of the essential metrics, which they used to rely on, are now defined differently. Therefore discrepancies between the new and old metrics will make comparisons to previous periods problematic.
Online retail businesses live or die by their stock levels. A couple of challenging years characterised by supply-chain disruption and delayed order fulfilment have really underscored this in the industry. Monitoring stock availability has been a key priority for many of our clients this year, but how can we get this data into Adobe Analytics in the most effective way, to give us a clear view of what exactly is happening out there on our product detail pages (PDPs)?