Discover how Revology Analytics propels mid-market businesses to sustainable, profitable growth by building advanced, in-house Revenue Growth Analytics & Management (RGM) capabilities, fast.
Our senior expert-led, hands-on approach ensures you own the tools, insights, strategy and processes needed to thrive long-term.
We would love to hear from you.
Let’s chat!
Gain exclusive access to the latest insights from over 150 commercial leaders on the state of Revenue Growth Analytics in 2025, based on our expanded Revenue Growth Analytics Maturity Scorecard™.
Discover how Revology Analytics propels mid-market businesses to sustainable, profitable growth by building advanced, in-house Revenue Growth Analytics & Management (RGM) capabilities, fast.
Our senior expert-led, hands-on approach ensures you own the tools, insights, strategy and processes needed to thrive long-term.
We would love to hear from you.
Let’s chat!
Gain exclusive access to the latest insights from over 150 commercial leaders on the state of Revenue Growth Analytics in 2025, based on our expanded Revenue Growth Analytics Maturity Scorecard™.
Cross-sell and up-sell should fire when customer behavior crosses a threshold, not when the quarterly campaign calendar says so. Revology co-designs AI agents with your sales, customer success, and data teams and builds them to monitor account signals continuously and surface next-best-action recommendations to the right rep, channel, or workflow, with approval gates where a person should sign off. For mid-market companies ($100M–$2B), cross-sell propensity, up-sell readiness, and churn risk run from the same lifetime-value engine, so your team sees growth and retention in one view. Built inside your CRM and data stack. Owned by your team. Live in 90–120 days.
Churn, cross-sell, and up-sell should run from the same customer intelligence layer. Revology co-designs and builds AI agents that route next-best actions inside your CRM.
Too often, companies find out about churn when it's already too late. Our approach flips the script: you get early-warning alerts for at-risk accounts, so your team can act while there's still time to make a difference. If a subscription customer's usage drops or a loyal shopper goes quiet, the system prompts a targeted retention action, like a personalized discount, loyalty reward, or timely outreach. The uplift model ensures you spend retention dollars only on customers who can actually be persuaded to stay, keeping your program margin-positive and focused on real impact.
By analyzing purchase history and behavioral data, the models identify cross-sell and up-sell opportunities that sales or marketing teams would miss. The system might flag, for instance, that a customer who bought product X is likely to buy product Y within 3 months, and prompt a targeted offer. For mid-market clients with 24+ months of transaction history, these offers typically deliver a 15–30% cross-sell lift over rule-based targeting, raising average order value and deepening the customer's relationship with your brand.
Sales reps or customer success teams are armed with data-backed recommendations for each account, which means they spend less time guessing which product to pitch or which customers to focus on. The prioritization of leads (who is likely to churn, who is primed to buy more) helps allocate their time to the highest-impact activities. In short, your team can close more upsell deals and save at-risk accounts more efficiently by following the system’s guidance.
You shouldn't have to rebuild your analytics every time your business grows. Our churn and recommendation models run on your existing data platform and show up right where your team works, in your CRM or BI tools. As you add new products, segments, or regions, the models are retrained or tweaked, not rebuilt from scratch. The system grows with your business, and your team stays in control.
A churn score flags who might leave, but it stops short of telling you if your offer will actually make a difference. Here's where an uplift model comes in. It pinpoints which customers will stay only if you take action, versus those who would stick around regardless. The result? Your discounts and outreach go only to the customers where you can truly move the needle.
Survival models estimate when an account is likely to leave; customer lifetime value models estimate what that is worth. Together they rank at-risk accounts by dollars at stake, so customer success works the list that matters to the P&L.
The agents do the heavy lifting by monitoring signals and drafting recommended actions. But you stay in control: your team decides what runs automatically and what needs a human sign-off. Offers, discounts, and contract changes route to a named owner for approval, while alerts and CRM tasks can run hands-free. Every recommendation comes with clear drivers, so your team can explain every decision with confidence.
We build churn and cross-sell agents in four steps, co-designed with your sales, customer success, finance, and data teams so the models fit your data, your products, and the way your reps work.
We roll up our sleeves with your team to pinpoint the churn and cross-sell indicators that matter for your business, whether that's usage patterns, contract renewal dates, customer service touchpoints, purchase frequency, or price and margin history. We baseline your customer base using RFM and cohort analysis, so every model has a clear benchmark to beat. Together, we define the outcomes to predict (like churn in the next 90 days or likelihood to buy a specific product), how your teams will use the predictions (think Salesforce alerts or prioritized lists for account managers), and which actions should run automatically versus those that need a human in the loop.
We use your historical data to build churn, propensity-to-buy, and recommendation models with proven open-source tools like scikit-learn, XGBoost, LightGBM, and survival and uplift libraries in Python or R. Churn gets scored with gradient-boosted classifiers and a survival model for time-to-churn. Cross-sell relies on propensity and product-affinity models built from real transaction patterns and lookalike customer behavior. The uplift model singles out the persuadables, so your offers only go to customers whose behavior you can actually change. We backtest every model against your actual outcomes, measuring precision, recall, calibration, and lift in the top deciles. We keep iterating until your reps have scores they can trust, and act on.
We put the final models right where your team already works, no new tools, no extra logins. If you use Salesforce, HubSpot, or Dynamics, your reps see churn scores and next-best-action recommendations as fields, tasks, or notifications on each account. Prefer dashboards or automated alerts? We can do that too. High-impact actions like discounts or contract changes route to the right owner for approval, while low-risk actions run automatically. The bottom line: your team gets actionable insights in their daily workflow, not buried in a separate system.
You receive the complete codebase, model documentation, and an "operations playbook" so your team can retrain or refine the models as your business and data evolve. We train your data science or analytics team on how the models work under the hood, so they can adjust features and thresholds and add new data sources over time. The models, code, and IP are yours; there is no license fee and no per-seat license. After handoff your team runs it, and an optional managed-services agreement keeps the models maintained and evolving if you prefer not to.
In our experience, mid-market companies with 24+ months of transaction history see practical, measurable results: cross-sell and up-sell models typically drive a 15–30% lift over rule-based targeting. The churn model arms your customer success team with a prioritized list of at-risk revenue, along with clear reasons for each flag. Instead of chasing a generic campaign list, your sales team focuses on accounts that are ready to buy or at risk of leaving, so every action is targeted and impactful.
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Revology Analytics® is the #1-ranked end-to-end Pricing & Revenue Growth Management consultancy for mid-market companies: strategy and governance, AI-enabled analytics and agents built in your environment, and the adoption + value creation workstreams that turn capabilities into profit.
Over 225 companies took our scorecard to improve their Revenue Growth Analytics & Management capabilities.
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