Introducing Indian Lakes Predictive

Most hospitality operators I work with have the same problem.

They have a PMS that shows them last night's occupancy. They have a POS that shows them what sold. They have a loyalty platform that tells them which tier each member is in. And they have a marketing team that pulls all of this into a weekly report.

None of it tells them what's about to happen.

Which guest is one nudge away from booking again. Which Platinum member is quietly slipping toward Gold. Which property's revenue is going to soften in the next 30 days. Whether last quarter's campaign actually moved anything, or just spent the budget.

That gap, between what your dashboards record and what you actually need to decide, is where most operators are operating blind. Enterprise hospitality groups solved this years ago. They hired data science teams, built warehouses, and ran the models. Everyone else got asked to make the same decisions without the same tools.

That's the problem we built Indian Lakes Predictive to solve.

What it is

Indian Lakes Predictive is a predictive analytics platform purpose-built for multi-property hospitality operators. Boutique hotel groups, restaurant collections, resorts, and event venue operators running anywhere from three to fifteen properties.

It sits on top of your existing PMS, POS, and loyalty stack. No replacement, no re-platforming, no data engineering required. It reads what you already have and produces what you don't: predictions, prioritized lists, and tested campaign infrastructure.

Underneath, it's thirteen predictive models working together. Churn risk scoring. Revenue and folio forecasting. Loyalty tier migration. Campaign response. Decliner detection. Rising stars. Near-platinum guests. VIP-likely scoring. Guest lifetime value. Basket recommendation. Upsell. Cross-sell. Return-visit prediction.

Each one produces a specific decision. Together, they produce a unified Next Best Action list, refreshed nightly: the top guests across your portfolio, ranked by which action will move the most revenue this week.

What it does

The platform operates in three layers.

Predict. Score every guest, every night, across thirteen models. Who's churning. Who's about to upgrade. Who hasn't visited Mackinac in 90 days but used to come every six weeks. Who looks like a Platinum guest but is still being marketed to like a Silver.

Test. Hospitality marketing has historically been guess-and-send. Predictive includes an A/B test framework purpose-built for property-level and loyalty-level experiments. Hold-out groups, lift measurement, statistical significance before you scale a campaign across the portfolio. Stop guessing whether the email worked. Know.

Act. A unified decisioning layer ranks every guest by next best action: win-back, suite upgrade nudge, spa cross-sell, VIP concierge invite, dining reservation prompt. Your CRM team works one prioritized list every Monday, not a dozen disconnected reports.

This is what an enterprise CRM team produces. Indian Lakes Predictive productizes it.

Why we built it

I spent fifteen years running CRM and lifecycle marketing at companies most multi-property operators don't have the headcount or budget to replicate. Five years at Caesars Entertainment building loyalty programs for casinos with five million guests. Three years at Vail Resorts running retail CRM across 250 stores and two million customers. Four years at Comcast managing MarTech operations for thirty million customers.

Each of those operations had what most independent and regional hospitality groups don't: a data science team, an analytics platform, and a budget to build proprietary tooling.

But the work itself, scoring guests by churn risk, forecasting revenue by property, ranking next best actions, isn't fundamentally different at a 9-property hospitality group than it is at a Fortune 500 casino operator. The math is the math. The models are the models. What's different is the team you can afford to put behind them.

So we packaged it. The same kind of predictive intelligence that enterprise CRM teams produce, productized so a regional hospitality group can run it without a data science hire. The setup takes weeks, not eighteen months. The pricing starts at $999 a month, not $200,000.

Where it runs

Indian Lakes Predictive launches today with hospitality as the first vertical. The demo runs on a fictional 9-property Northern Michigan operator called Northwood Hospitality Group. The data is synthetic but the models are real. You can open the demo, click through any of the thirteen models, see how the dashboard scores guests, and walk through the Next Best Action list without booking a call.

Hospitality is where the product is proven. Multi-location retail, healthcare practices, and other industries with customer loyalty data and operational complexity are likely candidates next.

What you can do with it

If you run three to fifteen properties and have data sitting in a PMS, POS, and loyalty platform that you're not currently using for predictions, Indian Lakes Predictive will turn that data into a weekly action list within four weeks.

If you have a CRM team but no analytics layer underneath them, Predictive is the analytics layer.

If you have neither a CRM team nor analytics, the Fractional Head of CRM add-on places a senior CRM operator inside your business to run the predictive program for you.

If you're not sure whether you're ready for predictive analytics, book a 30-minute call. We will walk through what you have and tell you honestly whether the math will work for your portfolio.