CrossUp: the AI analyst that multiplies your revenue
CrossUp: the AI analyst that multiplies your revenue
CrossUp: the AI analyst that multiplies your revenue
You are selling to existing customers but not making the most of them
Ecommerce and Retail
Increase average ticket with complementary product recommendations at the time of purchase, post-purchase and in the next sessions. The AI agent learns the buying patterns of each customer.
Marketing teams
Receive suggestions on promotions to run, put together kits and bundles and execute marketing actions focused on improving conversion rate and average ticket.
An AI business analyst working 24/7 for your revenue
IA Business Analyst Agent
An artificial intelligence agent that acts as a specialized business analyst, monitoring the behavior of each customer across all channels and generating qualified sales opportunities autonomously.
Omnichannel Behavioral Analysis
Unify sales behavior data from web, mobile app, point of sale into a single customer profile. The agent understands the complete journey regardless of the channel.
Predictive Propensity Models
Machine learning models that calculate the probability of each customer buying specific products, based on their history, profile and the behavior of similar customers.
Recommendations Engine
Cross and upsell recommendations delivered at the right time: while browsing the site, in the cart, post-purchase, in the next email or when calling the call center.
Automation of Sales Actions
Set up automated segments: when a customer reaches a certain propensity score, the system intelligently assigns him to the appropriate segment to be triggered by marketing tools.
Revenue Opportunities Dashboard
Visualize in real time all active cross and upsell opportunities, their potential value, conversion probability and recommended actions per channel for each segment.
Testing of Offers and Messages
Automatically tests different combinations of products, messages and timing to optimize cross and upsell offers. The AI agent learns from each experiment.
Integration with CRM, ERP and Ecommerce Platforms
Connect with Salesforce, HubSpot, VTEX, Shopify, Adobe and other systems. CrossUp reads and writes data into your existing platforms without breaking current flows.
Dynamic Micro-segmentation
The agent creates and updates micro-segments of customers with high affinity to specific products, enabling ultra-segmented campaigns with higher conversion rates.
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Cross selling and upselling with AI
What is the difference between cross selling and upselling, and why does AI improve them?
Cross-selling suggests complementary products to the one the customer already bought or is about to buy; upselling suggests a premium or higher-value version. AI enhances both practices because it can analyze thousands of behavioral signals simultaneously - purchase history, browsing, support interactions, demographics - to predict with high accuracy which product and which message will resonate with each individual customer. A manual approach or static rules can never achieve that level of personalization at scale.
How long does it take to generate results?
CrossUp starts generating recommendations as soon as it is integrated with your data, but optimal performance is reached between 4 and 8 weeks of operation, when the predictive models are calibrated with historical data from your specific business. During the first weeks, the system operates in active learning mode, collecting conversion signals to fine-tune the scoring. Most customers report measurable increases in average ticket within the first month.
Does it work for very large or complex product catalogs?
Yes, in fact that's where it adds the most value. With catalogs of hundreds or thousands of SKUs, no human team can keep cross and upsell rules up to date manually. CrossUp's recommendation engine scales effortlessly: it analyzes purchase correlations across the entire catalog, identifies natural bundles that emerge from actual customer behavior, and prioritizes them according to margin, stock and configurable business objectives.
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