Your AI advisor, here to make confident buying effortless
Consumer · B2C
Business · B2B
Guided discovery for consumer products, from first click to checkout.
Configure complex catalogs and technical products with confidence.
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• Lifecycle & Email
Most "personalized" emails are batch-and-blast grids decided hours before anyone opens them. Zoovu recommends the right product for each shopper the moment they open your email, each individualized to them, running the same AI that powers your site. Discovery, extended to the inbox at enterprise scale, on any ESP.
+18%
Average order value
Conversion rate
+15%
Revenue per user
• Why it's different
Email recommendations shouldn't be a separate tool with its own logic. Zoovu runs one recommendation engine across your site and your campaigns, so the inbox experience is as smart and as fresh as the on-site one.
Open-time rendering
Recommendation for each email placement is resolved when the shopper opens the email, not when it was queued hours earlier. Every message reflects the latest behavior and live inventory.
ESP-agnostic
Drop Zoovu into any email platform with simple image and link URLs and your existing merge fields. No native connector, no replatforming, no engineering lift.
Same strategies as onsite
The same models, business goals, and merchandising rules that power your site power the inbox. Create a consistent experience across every touchpoint.
• Proof
Global retail and consumer brands use Zoovu's recommendation engine to move from copy-pasted "bestseller" grids to recommendations that are individualized — from on-site experiences to their inbox.
+7.25%
Sonos lifted conversion rate against its existing recommendation engine, alongside a 7.05% gain in revenue per user.
<6 wks
Go-live. Sonos was fully integrated in under two weeks and live in under six.
AOV. Across deployments, brands see double-digit lifts in order value, conversion, and revenue per user.
• How it works
01 — Render
Batch emails freeze their recommendations the moment they're queued. Zoovu resolves each product slot when the email is actually opened, so the products, prices, and availability are always current.
02 — Deliver
Because recommendations are delivered as plain image and link URLs driven by merge fields, Zoovu drops into the email platform you already use. Style each slot with your own HTML and CSS so it matches the campaign.
03 — Learn
Zoovu's recommendation models are trained toward business goals. Simply select from a list of goals such as AOV optimization, return rate reduction or increase profit margins.
04 — Control
AI doesn't mean hands-off. Boost or bury products with a rule, pin hero items, and pick the recommendation logic per placement. The model then infers related products beyond manual tagging.
05 — Measure
Track revenue, order value, and conversion rates across on-site and email placements, and feed what you learn back into the models and your campaigns.
• One recommendation engine
The same platform runs discovery across your entire buyer journey. You're not stitching together point solutions.
Onsite
Recommendations & bundles
Individualized product recommendations and dynamic bundles across PDP, cart, and category pages.
Inbox
Lifecycle & email
The same engine, rendered at open time and styled to every campaign, on any ESP.
Discovery
AI search
Natural-language search and smart filters that connect discovery to conversion.
Guidance
Guided selling & Zoe
Conversational, human-like guidance that helps shoppers choose with confidence.
Merchandising
Rules & goals
Boost, bury, pin, and train models toward the business outcomes you care about.
Foundation
Data enrichment
Clean, standardized, enriched product data — the layer that makes every recommendation accurate.
• Enterprise-ready
GDPR compliant
Customer data is kept private and secure, with cookieless user logic supported out of the box.
SOC 2 Type II
Certified controls so you can be confident your data — and your customers' — is protected.
WCAG & ADA
Build experiences that align with accessibility standards across every channel.
• Works with the ESPs you already use
• Frequently asked questions
Most ESP "dynamic" blocks pull from a static feed or bestseller list decided when the email is queued. Zoovu resolves each recommendation at open time, per individual recipient, using the same deep-learning models that personalize your site — so the inbox is as smart and as fresh as the on-site experience, not a simplified copy of it.
Each product slot in the email is an image URL. When the recipient opens the message, Zoovu's prediction endpoint identifies the user, selects the best product for that slot, and returns the rendered image — reflecting their latest behavior and live inventory at that moment, rather than whatever was true hours earlier at send time.
Any of them. Recommendations are delivered as standard image and link URLs driven by merge fields (customer ID, user ID, container, slot index), so they drop into Klaviyo, Braze, Salesforce Marketing Cloud, Mailchimp, or any other ESP without a native integration or a rebuild.
Yes. The same models, business goals (like AOV or conversion), and merchandising rules power both. Configure your strategy once and it carries across on-site placements and email, giving shoppers a consistent experience everywhere.
Because there's no ESP replatforming, most teams are live quickly. As a reference point, Sonos integrated the recommendation engine in under two weeks and was live in under six — with results measured against their previous provider.
Zoovu is SOC 2 Type II certified and GDPR compliant, supports cookieless user identification, and adheres to WCAG and ADA accessibility standards. Customer data is protected and never shared for third-party tracking.
See how the Zoovu engine renders personalized recommendations in the inbox — at open time, on your ESP, at enterprise scale.
We'll show you exactly what's breaking in their journey.
“Six years in, Zoovu is core to how we do product discovery.”
“We saw roughly a 30% conversion increase literally overnight.”
“We’ve exceeded buyer expectations and continue to see extraordinary ROI.”
