Big data is now omnipresent. It is embedded into our day-to-day lives as the hard-wired DNA that fuels our business processes and decisions. Data-driven cultures went mainstream in 2016, with organizations scrambling to establish data strategies that enabled all employees to make better informed decisions. Yet despite all of the hype, the majority of organizations still have a long way to go before realizing the potential that big data holds.
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 …
If your online shop analytics stops with the order, it is stopping short. Some product groups like Fashion tend to have high return rates, so looking at refunds can give you a different view of your shop and marketing performance. At siroop.ch, a new Swiss online marketplace, we tried to look at what happens after the order in both Google and Adobe Analytics. While Google’s imports may require a bit less setup time, they have major limitations. Adobe Analytics’ Transaction ID Data Sources gave us the full picture from Campaign to Cancellation.
Here at Jump Digital (proud owners of Web Analytics World!) we actively discourage self-promotion in posts … but, given that it was we who made the rule, we reckon, just this once, that we can break it!
Over two years ago, we set out to create qualifications in digital marketing education that offered something genuinely credible and valuable in the market.
Qualifications that employers would recognise and reward and now we are excited to launch the Digital Marketing Professional Certificate (DMP) in collaboration with the University of Aberdeen.
For a Category Manager of an online shop with hundreds or thousands of products, it can get difficult to find those products that are performing poorly AND are worth optimizing.
You cannot simply work on all products that did not sell well last week, there are just too many. Focusing on only those products with high margins is not going to help much either.
Here are some helpful performance metrics you can create in Adobe Analytics (formerly SiteCatalyst) – and partially also in Google Analytics.