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Cross-sell and Up-sell

Let AI Increase Your Cross-Sell and Up-Sell Revenue

Connecty’s Decision Intelligence Layer instantly learns product affinity, customer journeys, and offer optimization — turning complex cross-sell analytics into instant, adaptive intelligence.

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Practical Revenue Intelligence for Every Team

Connecty automates the most complex, time-consuming parts of cross-sell analytics—so every team can focus on strategy, not SQL.

💼 Sales

Pain: Manually joining CRM, transaction, and product data to find expansion opportunities.

Connecty Automation: ASG auto-links entities to surface “next-best-product” probabilities.

Example Metrics: Upsell Probability, Account Penetration Index, Multi-Product Conversion Rate.

📈 Marketing

Pain: Running multiple cohort and control-group queries for personalization tests.

Connecty Automation: ASG applies dynamic variant grouping and attribution automatically.

Example Metrics: Offer Conversion Uplift, Trigger Accuracy Rate, Offer Fatigue Rate.

🎯 Product

Pain: Mapping retention and conversion chains across multiple features.

Connecty Automation: ASG applies chained joins and date windows to map journeys.

Example Metrics: Journey Completion Rate, Time-to-Upsell, Feature Adoption Pathing.

⚙️ Operations

Pain: Extracting compliance and onboarding metrics across systems.

Connecty Automation: ASG calculates completion times and identifies bottlenecks automatically.

Example Metrics: KYC Completion Rate, Onboarding Duration, Regulatory Block Ratio.

🛍️ Marketplace

Pain: Mapping cross-category and repeat-purchase flows in SQL.

Connecty Automation: ASG generates co-occurrence and lift analysis without manual joins.

Example Metrics: Product Affinity Lift, Repeat Purchase Rate, Stored Balance Growth.

Cross-Sell & Up-Sell Analysis Framework

Connecty’s Autonomous Semantic Graph links behavioral, transactional, and lifecycle data to model every expansion opportunity automatically—no manual joins or case logic required.

4 Core Analysis Categories
18 Analytical Sub-Types
5 SQL Logic Patterns
Predictive Intelligence
Autonomous Context Learning

Core Analysis Categories

Connecty automates complex SQL logic—joins, date windows, and attribution patterns—turning weeks of analytics work into instant insights.

🧭 Opportunity Discovery

Purpose:

Detect accounts most likely to buy additional products.

Example Metrics:

Cross-Sell Conversion Rate, Upsell Probability, Multi-Product Retention Uplift.

SQL Logic:

Multi-table joins between CRM, transaction, and engagement data; probability scoring features.

Business Insight:

Reveal hidden expansion potential and enable proactive account-based upsell.

🔗 Product Affinity Mapping

Purpose:

Discover which products or features co-occur in successful cross-sells.

Example Metrics:

Product Affinity Lift, Co-Purchase Frequency, Offer Conversion Uplift.

SQL Logic:

High-cardinality co-occurrence matrices, grouped joins by product pairs, lift ratio calculations.

Business Insight:

Guides bundle creation and complementary product placement.

💰 Customer Lifetime Expansion

Purpose:

Quantify incremental revenue and retention impact from multi-product usage.

Example Metrics:

LTV Delta, Repeat Purchase Rate, Time-to-Upsell, Stored Balance Growth.

SQL Logic:

Cohort anchoring with MIN(timestamp), rolling cumulative sums, date window joins.

Business Insight:

Identifies which products deepen loyalty and long-term value.

⚙️ Pricing & Offer Optimization

Purpose:

Test incentive and pricing strategies that improve profitability.

Example Metrics:

Incentive ROI, Offer Fatigue Rate, Incremental Revenue Lift.

SQL Logic:

Variant grouping for A/B testing, control-vs-treatment delta, difference-of-means calculation.

Business Insight:

Optimizes incentives and discount structures for sustainable expansion growth.

Stop writing 300-line SQL for every upsell analysis.

Let Connecty’s Decision Intelligence Layer handle the joins, filters, and attribution for you.

📅 Book a Demo

Frequently Asked Questions

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