Every order you ship is smaller than it could be.
BlueConic identifies the right add-on, bundle, or upgrade for each shopper at the moment they're ready to buy. It reads live cart behavior against full purchase history, scores the products most likely to lift order value, and updates in real time as shoppers move.
Book a 30-minute personalized demo
See how leading B2C brands run Growth Plays without slowing down for a sync.
Trusted by 300+ enterprise brands
Loved by marketers
How BlueConic helps
Stop promoting the wrong product to the right buyer
Static recommendation engines treat a first-time buyer and a high-LTV loyalist the same way. BlueConic reads each shopper's full purchase history alongside their live cart to pick the one product most likely to grow that specific order, not the most popular item in the category.
Grow AOV without touching your discount budget
BlueConic expands order value by surfacing the right product at the right moment, not by layering on incentives. Margin guardrails are set by your team, so recommendations never default to a discount to close.
Compound AOV performance without manual intervention
Most teams have to manually review recommendation performance and push new rules to see improvement. BlueConic evaluates which recommendations drove real incremental lift after each transaction and adjusts automatically, so performance compounds without a debrief.
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Proven Results
42
%
Revenue increase
25
%
ROAS increase
50
%
Reduction in CPA
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"We're thrilled with our early results and see this as just the beginning. It's already helping us uncover new use cases and ideas we hadn't considered before."
Juan Luis Juarez Perez
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Marketing Technology & Advanced Analytics Manager Americas - Essity
How It Works
Build the full shopper picture
BlueConic pulls live cart data together with transaction history, loyalty signals, and predictive scores from your warehouse into one unified profile. Every recommendation starts with the full context of who that shopper actually is.
AI selects the next best product
For each shopper, BlueConic's AI evaluates product affinity, purchase readiness, and your margin rules, then surfaces the single add-on, bundle, or upgrade most likely to grow that order. No rule-writing required from your team.
Results sharpen automatically
Outcome data feeds back into each profile after every order. BlueConic's AI agents evaluate which recommendations drove true incremental lift and refine future decisions on their own, so the system improves without quarterly retunes.
Common questions
We already have product recommendation tools. Why isn't that enough?
Most recommendation engines apply the same rules to every shopper because they only see in-session behavior. BlueConic layers in full purchase history, loyalty tier, and predictive scores, so each recommendation reflects who that shopper actually is, not just what's in their cart today.
How much does this require from our IT team to get running?
BlueConic connects to your ecommerce platform and data warehouse without replacing either. Most teams go from integration to first recommendation in weeks, not quarters, with implementation support from BlueConic's team.
How quickly will we see an impact on AOV?
Brands typically see measurable lift within the first few weeks of deployment. Because recommendations update in real time and outcomes feed back into profiles immediately, the system starts learning and improving from day one.
How is this different from what our CDP already does?
Most CDPs store and segment data but don't make per-person product decisions at the moment of purchase. BlueConic combines the unified profile with AI decisioning that fires at cart-time, selecting the specific product most likely to grow each order based on that shopper's full history.
Your AOV has more room to grow.
See exactly how BlueConic grows order value for retail brands like yours in a 30-minute demo.
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