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Hello!
So, you're interested in intelligent offers?
We all know offers and promotions work. But we also know the downsides. Damage to brand and margins.
RevLifter works with eCommerce brands to add intelligence to offers in two key ways:
Intelligent targeting
Using behavioural data and intent analysis to decide who see an offer and who doesn't.
Intelligent optimisation
A/B and multivariate testing offers with automation to accelerate results.
And we do all the heavy lifting for you. You get the results and the kudos.
Let's discuss optimising your eCommerce performance for 90 days for free
Try us free for 90 days
Working with smart retailers
Don't just take our word for it
“Working with RevLifter was a no-brainer. They came in and demonstrated what they could do. It was exactly what we were after.
The results were so compelling. RevLifter genuinely care that we see success.
I don’t think anyone matches what RevLifter do.”
Max Wright, Radley London
"Working with RevLifter has always been a seamless process...
Over the past two years, after seeing the first results, we have expanded our use of the technology by implementing several different initiatives and solutions.
These efforts have resulted in a demonstrably higher AOV and CVR."
Jeremy Barrett Lipkin, NAVY Hair Care
More conversions and bigger baskets for less cost with Radley London
Increasing conversions and reducing abandonment
Exit campaigns are designed to nudge more people likely to abandon their purchases. What you want to avoid is using an exit campaign on someone who is going to buy.
The exit campaigns Radley used were:
- Funnel-stage exits: prevent browse, basket, and checkout exit.
- Ctrl+C: target shoppers who copy product names to search for lower prices, converting them with timely, personalized promotions.
- Invalid codes: Turn potential losses into gains by offering exclusive deals to customers who enter invalid or expired promo codes.
Intent targeting
By comparing visitors' behavior with previous visitors, we can calculate whether they are likely to buy. We can then use these calculations to create rules and segments to include or exclude them from campaigns.
For Radley, the rule was simple. On the exit campaigns, anyone with a 25% or more chance of buying was excluded from getting an offer.
This meant the incremental revenue from the campaigns cost 8% less than it could have.
Building bigger baskets
Cross-selling and upselling are effective - e.g., intelligent product recommendations. But they are even more effective when tied to an incentive.
Radley used product recommendations and Stretch & Save campaigns. Stretch & Save give visitors a target to hit to trigger an incentive - e.g., 10% off when someone spends £125.
Radley increased AOV by over 20% using basket building campaigns.
Join the intelligent offers revolution