Solution
Thankfully, DataFeedWatch offers an A/B title testing functionality, so we could quickly run two different variations of product titles across our client’s shopping campaigns.
To test our hypothesis about whether or not the location of the brand name within the product title was contributing to a less efficient ad, we created two variations of product titles. Variation A included the brand name at the beginning of the product title (which is how it was initially set up), and variation B had the brand name at the end. 
Product title examples:
- Title (Variation A): [Brand Name] [Style, Color] Sneakers | Size 9
- Title (Variation B): [Style, Color] Sneakers by [Brand Name] | Size 9
Utilizing DataFeedWatch's A/B test functionality for the title attribute, we were able to submit both variations of the title directly into the Google Shopping feed. DataFeedWatch then dynamically segmented traffic to serve one of the two versions of the title and automatically created unique parameters for both versions, allowing us to see the live performance within Google Analytics.To guarantee this was a fair A/B test, we didn't make any other changes to other key product attributes in the SERP PLA, such as image, brand name, product rating, etc.
Results
We ran this A/B test for 30 days to ensure we gave it enough time to exit the learning phase and gather valuable, actionable insights.
A/B tests often take several weeks to collect data and highlight any statistical significance, but within 11 days, we began seeing promising results within Google Analytics. When compared to version A, version B (the test that included the brand name at the end of the product title) showed a 41% increase in ROAS (return on ad spend) and a 12.5% increase in CTR (clickthrough rate). To see these results within such a short period assured us that we were on the right track!
Three weeks after launching the A/B test, we saw Version A (original title with the brand name in the beginning) producing more revenue than Version B. Although the revenue volume was higher for Version A, Version B continued to align with our original goal—maintaining a 40% higher ROAS.
By the end of our 30-day A/B test, we were pleased to see our hypothesis check out to be true! Version B, the product titles with the brand name at the end, proved to be more efficient ads, landing at a 25% higher ROAS and 10% lower CPC (cost per click).

Final Thoughts
Ultimately, this A/B test highlighted the strengths and weaknesses of brand name placement in Google Shopping product titles. The main takeaways were that for this particular fashion brand, moving the brand name to the end of the title allowed for a better CPC, CTR, and overall ROAS. We've incorporated these findings into their future Google Shopping campaigns and many other Socium Media clients.
Within one day, we identified an area for improvement, created an A/B campaign to test our hypothesis, and launched it using DataFeedWatch. “With as many SKUs as our client had, it wouldn’t have been possible to run an A/B test like this without DataFeedWatch,” said Allie Salvatore, Associate Director of Socium Media’s Shopping & Feeds division.
“Echoing what Allie said, DataFeedWatch 100% made this test possible,” shared Kevin Lee, Director of Socium Media’s Shopping & Feeds division.

