Happy new year! With a lot of big things on the way for Littledata this year, including new Connections to automate analytics for an even wider range of popular ecommerce apps and platforms, we wanted to take a moment to look back on the posts you found most useful with our current feature set.

Last year we reviewed our top posts from 2017 and found that the focus — not surprisingly — was on Shopify and Google Analytics. This time around, our most-read and most-shared posts have really honed in on individual features and connections, especially for larger stores using one of our enterprise plans for full account management and unlimited automation.

Interestingly, 4 out of the 5 top posts have a title in the form of a question. Perhaps a sign of ‘plugged-in’ (ie distracted) readers looking for a sense of engagement?

Buyer Personas for Facebook Ads

1. What’s the real ROI on your Facebook Ads?

For the past decade Facebook’s revenue growth has been relentless, driven by a switch from TV advertising and online banners to a platform seen as more targetable and measurable. When it comes to Facebook Ads, marketers are drawn to messaging about a strong return on investment. But are you measuring that return correctly?

2. Why don’t my transactions in Google Analytics match those in Shopify?

If we had a nickel for every time we hear this question! In this popular post, our partner manager breaks down common reasons for ecommerce data inaccuracy between Shopify and GA, and takes a look at how to fix those issues automatically. Find out the top 6 reasons for inaccuracy, including some orders never being recorded in Google Analytics!

Littledata - Google Analytics insights for Shopify Store

3. New help center articles on Shopify tracking and ReCharge integration

With detailed new articles on Shopify tracking and how our ReCharge integration works, the new Littledata Help Center quickly became a go-to resource for current customers and ecommerce managers this past year. Even before they become customers, many ecommerce industry folks are using the help center to get a clearer view of how to use Google Analytics effectively. We’re happy to help!

Benchmarks to increase AOV

4. Are you looking at the wrong Black Friday metrics?

Paying attention to the right ecommerce metrics can help you establish the best customer base and shopping experience for long-term growth. But many retailers still focus only on the most popular metrics — especially during the online shopping craze of Black Friday and Cyber Monday (#BFCM).

Over the next few weeks ecommerce managers will be obsessing over data, but which stats are the most important? Two popular metrics — ecommerce conversion rate and average time on site — may be misleading, so in this post our CEO recommends looking instead at longer-term benchmarks.

5. Average order value benchmarks 2018: how do you compare?

Increasing average order value usually has a dramatic impact on profits and ROI from marketing spend. It is also a gift that keeps on giving, as optimisation in this area is something that can deliver ongoing results over the long term.

The holiday shopping period in 2018 had us obsessed with one of our favourite ecommerce metrics: average order value (AOV). How does your site compare? This popular post includes a new infographic that breaks down the stats, using our set of private benchmark data about the ecommerce industry.