The more product data, the more work for developers, the heavier your Data Layer. Tealium’s “Dynamic Data Layer Management” promises to ban at least the developer part forever. The idea is to enrich your Data Layer in real time with data (like “best-price” labels) that is hosted somewhere outside on a CDN. It has huge potential and is something you cannot do with a other Tag Management Systems. But does DDLM live up to its promise? We tested it.
In an E-Commerce company, work revolves around product data. That does not only apply to search filters, bidding strategies and on- and offsite advertisement, but also to data analysis. Do our best-price products really convert better than the rest? Which price ranges are we selling the most in our wine section?
localStorage has long established itself as a wonderfully comfortable way to store data in the user’s browser. Many tracking implementations depend on it.
But it is not the best solution for all cases, as 7-8% of users block it (on our site at least).
The “Marketing Channel” is the main entry point for any analysis on digital campaign performance in today’s Web Analytics world. But how good is a channel if you can only see how much money it earned you, but not how much you spent on it?
Both Google and Adobe Analytics do not make it easy here.
While there is no way to get the cost per channel into Google Analytics apart from the context of the Multi-Channel Funnel Reports,, Adobe offers a somewhat hidden trick. And you can go full circle: Cost->Revenue->Refunds = the real ROAS.
The tools that have impacted my Analytics life in 2016 the most?
ProductsUp, a powerful lever for marketing your product data; Analysis Workspace, an Analytics interface that turns data tables into a playground; Spotwatch, a tool that helps you watch your and your competitors’ TV spots and act upon them; Klipfolio, a dashboarding tool with data connectors to kill for; and Funnel.io which imports your cost data into Analytics while you’re sleeping …