Turn Every Customer Interaction Into a Revenue Opportunity
TDT helps organizations identify which customers are most likely to buy next, determine the next best product or offer for each account, and activate those insights across sales, retention, and customer success workflows.
Your Most Valuable Growth Opportunities are Already in Your Customer Base.
A growing body of academic research shows that cross-selling and upselling are among the most effective levers for increasing revenue and profitability, as they expand the value of existing customer relationships without incurring the high costs of acquisition¹.
Research in leading journals demonstrates that firms that successfully implement cross-selling strategies can increase customer lifetime value (CLV), improve share of wallet, and strengthen long-term customer relationships². In particular, studies show that identifying relevant product combinations and unmet customer needs significantly enhances both conversion rates and profitability³.
More recent work combining machine learning and marketing science finds that targeted cross-selling models materially outperform untargeted approaches, by identifying customers most likely to purchase and prioritizing opportunities based on expected revenue impact⁴.
Unlock Revenue Growth Across the Customers You Already Have
Many organizations find that their most valuable growth opportunities already exist within their current customer base. Industry experience shows that companies leveraging targeted cross-selling and upselling strategies can increase sales by up to 20% and profits by as much as 30%.
TDT uses predictive analytics to identify high-propensity buyers, match each customer with the most relevant next product or service, and help your teams act with more precision and less guesswork.
- Which customers have the highest propensity to buy an additional product or service?
- What is the next best product for each customer or segment?
- Which customers should receive cross-sell offers versus upsell offers?
- When is the right time to make the offer?
- How can sales and retention teams act on these recommendations with minimal effort?
Where Next-Best-Product Intelligence Creates Value
Better pricing is not about guesswork or blanket discounting. It is about understanding where price changes, promotions, and packaging decisions can improve revenue without increasing churn or reducing long-term value.
Impact: Improves sales productivity and increases conversion rates by focusing effort where ROI is highest.
Impact: Drives revenue uplift through higher offer relevance and increased share of wallet.
Impact: Accelerates organic growth and reduces reliance on costly customer acquisition.
Impact: Expands margins and lifetime value by systematically moving customers to higher-value offerings.
Impact: Increases campaign effectiveness and conversion through better-timed, targeted interactions.
Impact: Ensures measurable impact by translating analytics into action, improving adoption and revenue realization.
Smarter Upsell and Cross-Sell Opportunities
Not every customer is ready for the same next step. Predictive analytics helps pinpoint which offer is most likely to resonate with each account, making cross-sell and upsell efforts more targeted, timely, and profitable.
A Three-Stage Approach to Product Adoption Growth
Identify who is ready to buy
We analyze customer behavior, transaction history, product usage, lifecycle stage, and peer patterns to identify customers with strong propensity to buy. TDT’s current NBP framework already describes these as core inputs to the model.Predict what they should buy next
We determine the next best product or service for each customer, segment, or account group so your outreach becomes more relevant and more likely to convert.Activate recommendations in the workflow
We operationalize the output so Sales Associates, Retention Specialists, and customer-facing teams can act on clear recommendations instead of relying on guesswork.Business Outcomes
Predict What Your Customers Are Most Likely to Buy Next
TDT helps organizations turn customer data into precise cross-sell and upsell recommendations that sales and retention teams can act on immediately.
- Blattberg, R. C., Kim, B.-D., & Neslin, S. A. (2008). Database Marketing: Analyzing and Managing Customers. Springer.
- Kumar, V., & Reinartz, W. (2016). Creating Enduring Customer Value. Journal of Marketing.
- van der Borgh, M., et al. (2023). Identifying Cross-Selling Opportunities from Solution Offerings. Industrial Marketing Management.
- Haag, F., et al. (2022). Augmented Cross-Selling through Explainable AI.
