HELLO NEW CUSTOMERS.
We used to believe customers’ conversion data helped you better personalize and grow future sales.
Until we realized this leads to selling more of the same products to similar audiences and marginal growth.
The truth is we passed over visitors who didn’t usually buy. Those that never engaged with products in a meaningful way.
Why waste time and money on shoppers you don’t know?
Not anymore. Now, new machine learning algorithms unlock hidden revenue potential from shoppers’ others ignore.
Amazon calls this Hyper-Personalization.
YOUR ECOMMERCE WORLD TODAY.
We might assume visitors have reasons to come to your site. No-one has time to waste.
So, why does 90% of traffic leave before engaging with your products?
YOUR ECOMMERCE WORLD
Hyper-personalization taps unseen revenue from ‘cold traffic’, connecting visitors’ buying signals with highly personalized recommendations.
You’ll up sales, win new customer types, and open long-tail growth – all while realizing greater profitability.
Hyper-personalization outperforms with low correlation to traffic growth.
LIMITED TIME OFFER
Can we up your revenue per visit 100% in 7-days?
Powered by Amazon’s own AI algorithms.
Joey, from Synergee, grew purchases 545% in 60 days.
*Eligible Shopify merchants only. Learn more ›
572% INCREASE IN REVENUE PER VISIT
Celebrity obsession, Lilly Lashes, focused on hyper-personalization to grow revenue per visit by 572%.
35% OF SHOPIFY SALES INFLUENCED
Supplement Warehouse uses a wide range of personalized recommendations to influence close to 35% of total online sales.
THE HYPER-PERSONALIZATION EFFECT.
of all sales influenced.
of sales gains from personalization.
are more likely to repeat buy.
*Based on industry analysis of Amazon.com.
Every interaction by your visitors could be a buying signal if your personalization solution can detect and act on it.
Product descriptions and meta data hide powerful indicators of customer preferences to increase relevancy of experiences.
Align your business objectives, like top line growth, margins, and inventory management with your customers’ needs.
Tapping hidden revenue from 90% of visitors needs broad recommendation strategies. Designed for diverse buyer personas.
Not type of device but type of shopper. Mobile visitors have different product needs and they browse differently.
Buying decisions change at every step of the buying journey. Personalized recommendations must adapt to those changes.
PURPOSE BUILT TO WIN NEW CUSTOMERS.
Your eCommerce runs on turning visitors into buyers. Have the most advanced data and machine learning system transform how you engage, influence, and manage your new visitors and returning customers.
Product recommendations with the same AI used on Amazon.com.
Live customer-experience data platform.
Real-time adaptive experimentation system.
Forrester® Total Economic Impact Study
Quantifying the economic value of Obviyo’s (formerly HiConversion) adaptive experience optimization technology during the Mobile Optimization Initiative.
Sponsored by Adobe and PayPal, enabling merchants to experiment with mobile shopping experiences. Over 300 brands participated, 100+ templates tested – more than $1B sales impacted.
Mobile Sales Lift