Publisher Spotlight: RevLifter – helping retailers boost revenue through personalised incentives

RevLifter is an AI Marketing Technology service that helps online retailers take control of promotions delivery to deliver incremental value. We recently caught up with Simon Bird, Co-Founder at RevLifter, to find out more about what makes their platform unique and a true benefit to advertisers.

Could you tell us a bit more about your platform and why you’re unique and innovative?

RevLifter is a groundbreaking technology that is changing the way retailers think about how tactical discounting can work in the affiliate channel, and improve incrementality.

Our platform allows e-commerce groups to deploy personalised deals and voucher codes by responding to consumer behaviour. Things like the items in their basket, location, customer status (new or existing) can help to shape an incentive which feeds directly into a retailer’s unique goals.

Everything happens in real time, on the retailer’s owned properties, which means we can show deals that facilitate with up-selling and cross-selling prior to the user checking out.

No other solution can execute this process in the way that we do; using AI to match consumers with deals and ensuring the retailer owns the conversation and experience. With that, we believe RevLifter is truly unique.

How does RevLifter work with advertisers in the affiliate space and how does your platform benefit them?

We build retailers their very own, fully branded discount hub or add dynamic content to existing retailer voucher code pages. This is aimed at capturing search traffic in Google for a retailer’s branded and discount terms, e.g. “*retailer name* vouchers”.

We can also show personalised deals at the basket in the form of smart touts, overlays and inlays, which encourage a consumer to buy more products. RevLifter helps retailers decide when to show a specific deal by applying scenario-based rules, geared around what our technology can glean from the customer’s basket.

As well as looking into the product type, these rules can trigger deals based on signals like new or existing customers, IP addresses and lifetime value. We can also supply incentives based on other factors, such as the upcoming weather in a consumer’s area; a vital consideration for those in the fashion and travel sectors.

Many retailers are using RevLifter to help with their up-selling and cross-selling, which provides obvious benefits in driving revenue and specific customer targeting.

Do you have any recent case studies of your success working with advertisers?

Despite only launching this year, we’ve witnessed some great results from the technology which have only solidified what we thought it could do for our users.

Compared with their old methods of incentivisation, advertisers that are working with RevLifter have typically enjoyed a 30% lift in conversion rates and a 20% increase in average order values. These stats do change based on the types and timings of discounts, though, and everyone has a different way of using our tech.

We’ve already onboarded some huge names in the global e-commerce world and we look forward to more joining us in the coming months.

Are there any exciting developments in the pipeline for RevLifter that you’d like to share?

This year represents our launch onto the global e-commerce and performance marketing scenes, so a lot of the focus has been on showcasing all of the hard work we’ve put into making RevLifter a groundbreaking solution.

In that time we’ve secured some big brands and received a nomination for the Industry Disruptor prize at the 2018 Performance Marketing Awards. Our team has years of experience in the digital marketing space and even we’ve been surprised about how well it’s all been received.

Looking ahead we are developing lots of new features, like a messaging tout that will enable customers to “unlock or reveal” a special offer, complete with time prompts to instil a sense of encouragement.

We are also working on enhancing our deal pages through new machine learning algorithms, which will deliver the best outcome every time by self-learning. Aside from these, you’ll just have to wait and see…

Finally, what can advertisers expect to learn in your talk at Symposium London next month?

I’ve been part of the performance marketing industry for over 15 years and privy to a lot of the conversations around discounting and a need for innovation within this area.

Naturally, I’ll be talking about how performance marketing as an industry can challenge traditional thinking around incrementality, deal design, data sharing and other matters. I’ll also be explaining ways of improving the value exchange between all parties in the affiliate industry, including the customers that power it.