Key KPIs delivered by Taggstar

  • 3.16%

    conversion rate uplift

  • $146K

    (£130K) revenue uplift

  • 1,496%


The Challenge

Bensons eCommerce teams recognized that online customers were missing out on the type of expert assistance that in-store sales associates typically provided.

Historically, Bensons’ customers had visited the store to try out beds and mattresses, with the help of a sales associate. The company wanted to provide similar expert help and support online. An improved online experience would help customers search products, empower them to make faster more informed buying decisions, reduce churn and ultimately increase sales revenue.

The solution

Bensons for Beds began talking to Taggstar in July 2018 about testing how social proof could improve online engagement by highlighting trending and popular products using real-time shopping trends from other customers.

Bensons chose to show messages about which products were popular and trending, along with ‘add to cart’ volumes on both the sites’ product details page (PDP) and cart pages. These included messages like ‘79 others added to their basket today’.

Using templates and message mockups from Taggstar, Bensons developed and launched designs that matched social proof messaging best practice. And, after a simple integration with the website’s Google Tag Manager dataLayer, Taggstar went live on the Bensons for Beds website in October 2018.

“Using Taggstar has given us impressive online results. We set out to improve the experience for our online customers and it’s rewarding to clearly track uplift in our revenue directly to using social proof messaging.”

Paula Riley, Web Trading Manager

The Results

After a six month experiment between November 2018 and July 2019, Taggstar’s in-built A/B testing tool recorded significant online conversion uplift and increased revenue that was directly attributed to using social proof messaging:

  • 3.16% conversion rate uplift
  • Revenue uplift: $146,000 (£120,000)
  • Gross profit uplift: $58,000 (£48,000)
  • 1,496% ROI on investment

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