{"id":23497,"date":"2023-02-20T00:00:00","date_gmt":"2023-02-20T00:00:00","guid":{"rendered":"\/uncategorized\/case-study-how-socioh-improved-daba-ad-ctr-over-70-in-2-days-using-data\/"},"modified":"2026-03-29T22:16:52","modified_gmt":"2026-03-29T22:16:52","slug":"case-study-how-socioh-improved-daba-ad-ctr-over-70-in-2-days-using-data","status":"publish","type":"post","link":"https:\/\/goodads.ai\/blog\/case-study-how-socioh-improved-daba-ad-ctr-over-70-in-2-days-using-data","title":{"rendered":"Case Study: How Socioh Improved DABA Ad CTR Over 70% In 2 DAYS Using Data"},"content":{"rendered":"

This is a case study of how an 8-figure celebrity DTC brand used a combination of Socioh\u2019s design & testing capabilities to significantly improve their DABA performance.<\/p>\n

The Beginning<\/strong><\/h2>\n

One fine Sunday night I get a message from a well-respected and successful public figure in the DTC world on Twitter.<\/p>\n

We get talking and, next thing you know, I\u2019m working with them to improve their DABA performance.<\/p>\n

Here\u2019s how I used Socioh\u2019s Branded Catalogs to improve the brand\u2019s DABA CTR over 70% IN 2 DAYS.<\/p>\n

\u200dNote<\/strong>: All data in this post is accurate but creatives and product images have been changed to maintain the anonymity of the brand.<\/p>\n

Test 1: The Right Message\u00a0<\/strong><\/h2>\n

The brand was using a regular catalog feed \u2014 pulling the first image from their store, with their product on a plain white background.<\/p>\n

I began by first understanding what messaging worked for the store\u2019s buyers.<\/p>\n

As our first test, I replaced the store\u2019s plain ads with Socioh\u2019s Branded Catalogs<\/a> and set up a\u00a0 Smart Switch<\/a> to test 3 different sets of messages \u2014 with multiple variations for each message.<\/p>\n

(Don\u2019t worry if specifics around Socioh\u2019s features don\u2019t yet make sense to you \u2014 I\u2019ve got visual examples for you below.)<\/p>\n

To begin with, not many advertisers even know that they can test messaging <\/strong>on DABA campaigns. And, as far as I\u2019m aware, no other company does this.<\/p>\n

With Socioh, though, you can rotate your messaging as often as you want and record changes in CTR and ROAS. This can help you understand what messages and designs best resonate with your customers.<\/p>\n

I started our test by rotating between 3 messages:\u00a0 Product reviews, PR features, and finally, aggregated social proof.<\/p>\n

TIP: Test 3 messages\/designs at any given time to keep results manageable and accurate.<\/p>\n

\u200dCreative 1<\/strong>: Multi-image PR Rotation<\/p>\n

The next creative showed the brand’s media\/PR coverage. The brand had impressive quotes from reputable publications. I rotated three such snippets across the catalog, and used a 2-image format to showcase multiple lifestyle images.<\/p>\n

\n
\"H1TIghprWN8NLnlMyBBZzxxckoWkYBgqGGqlMnrSTxNM9fQpXDmGSLRxJqMgnfXKB0scTjB56gu3hE2QgFXB6vtyALS7vXE<\/div>\n<\/figure>\n

\u200d<\/em>Reminder<\/em><\/strong>: To maintain the anonymity of the brand, these are not their actual creatives and products. However the messaging and designs are consistent with the ones we tested.<\/em><\/p>\n

Creative 2<\/strong>: Product Reviews<\/p>\n

This template automatically pulled actual product reviews next to each product. This meant unique content across all the product cards. This catalog would run for a day and then switch to creative 2.<\/p>\n

\n
\"GmlJQYyIE4t4E2ikIGdC04JYH0NsIsC5fob0yoz<\/div>\n<\/figure>\n

Creative 3<\/strong>: Multi-image Aggregated Rotation<\/p>\n

For the final image, I took proven messaging that the brand had already tested. Again, I chose a multi-product template, since displaying different product angles tends to work well for lifestyle products.<\/p>\n

\n
\"P0cEB0cY98bQCprEfHV9ZSUzQkt<\/div>\n<\/figure>\n

Each creative was set to \u2018switch\u2019 after 2 days, using Socioh\u2019s Smart Loop<\/a> feature, which allowed me to test each design over a few rounds to factor out \u2018off days\u2019 on Meta.<\/p>\n

Test 1 Results<\/strong>\u200d<\/h2>\n

I ran the test for about 10 days (from Dec 18 to Dec 28, 2022).<\/p>\n

Want to guess (before you sneak a peek below!) which creative did the best and the delta between the best and the worst?<\/p>\n

Let\u2019s see how you did.<\/p>\n

This is what the CTR graph looked like at the end of the 10-day period. The blue line traces the performance of the DABA campaign and the purple traces the account CTR over the same period. This helps track how the campaign trended with relation to the overall account performance.<\/p>\n

\n
\"8lJ2sWMTB1Dh0mAP13HR4GxMZAj6stJgZVvgDYUF87<\/div>\n<\/figure>\n

\u200d<\/p>\n

Do you see the blue valleys? Every 2 days, the CTR dropped. And these drops corresponded with the time the reviews catalog was live \u2014 it was evident pretty quickly as to which messaging wasn\u2019t working and which was.<\/p>\n

The poor performance of the reviews catalog was a total surprise. Reviews had always performed very well for similar brands in my experience. Just goes to show \u2014 test, test, test!<\/p>\n

Test 2: Creative Iteration<\/strong>\u200d<\/h2>\n

After reviewing the numbers on the 3 catalogs with the brand, we concluded 2 things:<\/p>\n

    \n
  • Multiple images for a lifestyle product were performing better (note that the review design had 1 image and review text).<\/li>\n
  • The simpler messaging of social proof worked better than individual reviews. People wanted conclusions, and didn\u2019t want to read individual reviews.
    \nTIP: Don\u2019t make your shoppers work!<\/li>\n<\/ul>\n

    The next step was to take these learnings and to try to reproduce them.<\/p>\n

    The winner from the previous test was the two-image template that showcased aggregated social proof.<\/p>\n

    So for step 2, my team made 8 different message\/USP variations within the same catalog.<\/p>\n

    \n
    \"BzEyEz6oJ<\/div>\n<\/figure>\n

    \u200d<\/p>\n

    To be clear, this was just one catalog but it had 8 template variations with 8 different value propositions and social proof. Essentially, we combined USPs with social proof.<\/p>\n

    We also made 2 variations of the same messaging testing fonts and colors.<\/p>\n

    Test 2 Results\u00a0<\/strong>\u200d<\/h2>\n

    CTR jumped 70% <\/strong>over the 2 days<\/strong> post launch (see January 13th-15th in the graph below).<\/p>\n

    \n
    \"9QK17Uh1RP7v6erIuD7e2H<\/div>\n<\/figure>\n

    But that wasn\u2019t the end of it (it never is in eCommerce, is it?). If you look at the graph, the campaign CTR dropped again on the 18th.<\/p>\n

    Why was this? The brand had a new drop \u2014 and a majority of ad spend and marketing efforts were reallocated to promote the new arrivals.<\/p>\n

    Post the new drop, the campaign picked up again on the 20th, but then started dropping again on the 22nd\/23rd of January.<\/p>\n

    We did some digging on the catalog and noticed that inventory in a lot of the more popular size variants had sold out.<\/p>\n

    So what did we do?<\/p>\n

    We pruned the catalog to exclude the products that had low inventory (if only all inventory had sold out, Socioh\u2019s scheduled catalog resyncs would have automatically excluded these products!).<\/p>\n

    Performance then picked up \u2014 and more so as products were restocked.<\/p>\n

    In Summary<\/strong><\/h2>\n

    CTR increased by 70% after the first round of catalog creative testing, but then stabilized at an increase of 40%.<\/p>\n

    Now that we\u2019ve increased the CTR for the brand’s DABA\u00a0ads \u2014 and are able to maintain it \u2014 the next step is to scale the spend.<\/p>\n

    We\u2019ll write a postscript when we win that battle!<\/p>\n

    \n