Drive revenue through perfectly timed, hyper-relevant recommendations

Most cross-selling feels like interruption marketing because it's based on browsing behavior or purchase history rather than actual product usage. Brands recommend products at arbitrary moments without knowing if customers are successfully using what they already own, creating recommendations that feel like sales pitches and yielding poor conversion rates.

BluStream uses real product usage data to identify the perfect moments for complementary recommendations. Polly analyzes how customers actually use their current products, engagement patterns that signal readiness, and questions that reveal additional needs. Recommendations arrive when they're most relevant, not on a predetermined schedule. 

Traditional recommendation engines suggest products based on "customers who bought X also bought Y" patterns. BluStream recommends based on how individual customers use what they already own. If someone is mastering a beginner product, Polly suggests the advanced version; if they're struggling, she focuses on usage support first. 

Yes. Polly's recommendations include context: "Since you're loving your morning smoothies, have you considered our protein powder blend?" or "Your skincare routine is going great—customers often add our night serum at this point." This contextual framing transforms recommendations from sales pitches into natural conversation, dramatically improving conversion rates. 

Customers who successfully use multiple complementary products become significantly more valuable and loyal. They invest more in your ecosystem, see better results from product combinations, and are far less likely to churn. McKinsey research shows that contextual personalized cross-selling can increase revenues by 15-20%. 

Upload information about product relationships: which products complement each other and why, natural usage progressions (beginner to advanced), common product combinations, use cases where multiple products enhance results, and customer success stories featuring multiple products. Polly uses this knowledge to make intelligent recommendations that feel helpful rather than pushy. 

No. Polly only introduces cross-sell opportunities when customers show positive engagement with their current products. If someone is struggling, she focuses entirely on usage support first. Poorly timed cross-sell attempts can reduce purchase likelihood by up to 30%, so Polly waits for the right moment.