We come from experience,
so you can improve yours.
We started in customer experience, using micro-surveys to better understand why shoppers leave their carts behind. Over decades, we’ve built a deep bank of data around the cascading decisions people make before, while, and after they’re on-site. Now we’re putting it to work.
With artificial intelligence and responsive testing, we have the power to predict rather than pursue. Because to go beyond incremental reductions in inefficiency and meaningfully strengthen satisfaction, stability and revenue, you have to know each shopper’s why and when. We’re how, increasing the odds and sum of sales in every moment your customers are considering.
From any angle,
or all together.
Steep ad spends can pull traffic to your site, but 70% of those visitors aren’t sticking around. Throwing even more after them in retargeting attempts gets you a click rate under 2%, a conversion rate under 0.1%, and nearly none of the revenue you were trying to attract in the first place. Instead, we’ll predict who’s likely to bounce and engage them first. Keeping the curious on-site boosts their likelihood to start carts by 40% and returns on your investment by at least 50%, so you lose less while gaining more.
Enticing shoppers in real time at their most promising decision points with intelligently targeted messaging enables us to halt abandonment before it happens. Without missing margin or damaging experience, as generic mouse-triggered pop-ups do. We’ll prove it with control group testing that clarifies revenue sources instead of claiming them.
There are particular times and traits that make it most possible to nudge customers to create carts and put more in them. Because we track each action as it happens and know what to expect next, we never overlook these crucial openings. Constantly attentive categorization reveals every potential sell, up-sell and cross-sell, and helps you seal a bigger deal.
Our technology is modular and flexible, so if all you need is a signal, you can integrate our API with your current system. Background monitoring continuously scores shoppers, calculating their moment-by-moment likelihood to purchase or abandon based on billions of behavioral data points, and cuing your solutions when they have the best chance of succeeding.
Our look-alike modeling lets you aim for the attributes most common to your best buyers, so you can invest most wisely in outreach that draws customers you’ll keep.
By identifying which of your shoppers will be most interested in participating in promotional programs such as BOPIS, curbside pickup and bounce-back purchasing, we take the guesswork out of launching and sustaining new initiatives.
We ask shoppers who repeatedly visit the same item why they’re not buying it, so you can confidently break barriers that are blocking more sales.
When customers start to skip out without completing a purchase, we ask them one multiple-choice question to assess their reason for leaving. Analyzing responses by cart size, contents, categories or campaign of origin reveals pivotal opportunities your marketing, pricing and product strategies can seize.