Company

Built for the people who fill the books.

Multi-location appointment brands were treating their most valuable asset, the client list, like a megaphone. We think it should be treated like a portfolio.

Our mission

Every med spa, dental group and fitness brand already knows how to fill a book: text everyone and hope. It works for a quarter, then reply rates sag, opt-outs climb, and the clients you most wanted to keep quietly stop reading. Predictive Rain exists to end that trade between full books today and a burned list tomorrow.

So we built outreach that runs itself. Models trained on each brand's own booking history decide who to message and when, agents carry every conversation to a confirmed booking in the POS, and the whole thing runs without anyone on the team touching it. Humans are optional, and when a conversation genuinely needs one, it escalates to them with the full story. The result is fully booked locations, completely hands-off, with the smallest possible blast radius.

By the numbers

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Locations on the platform

250+

Appointments booked

0.8M

Of a list contacted per week

9%

Lower cost per booking

20%

01 —How we work

Four principles behind every send.

The list is the asset

Every message spends a little of a client’s attention. We treat that attention as capital: invested where it returns, held back where it would not.

Predict, then ask

No outreach leaves the system without a score behind it. If the model cannot say who will book, we would rather send nothing than send to everyone.

Hands-off by default, human by exception

Agents should book, reschedule and answer the easy questions without anyone watching. Clinical concerns, billing disputes and anything off-script belong with your team, in the Slack or Teams channel they already use, with full context.

Multi-unit by default

Brands run on shared clients, shared staff and shared reputations. Guardrails, models and reporting are built for many locations from day one.

02 —Meet the team

Operators and model builders, together.

Predictive Rain was founded by people who have run the front desk and people who have shipped forecasting models at scale. We needed both.

The idea started inside a multi-location aesthetics brand, watching a marketing team send the same promotion to 40,000 people to fill a few dozen slots. The books filled, and so did the unsubscribe list. A few months later the same send barely moved the needle. The cost of a booking was climbing while the list that paid for it was wearing out.

Today Predictive Rain works the books at hundreds of med spa, dental, fitness and salon locations from open to close: it re-scores contacts as the day unfolds, reaches out the moment a gap appears, and lets agents carry the conversation to a booking. Those locations rely on it to keep their books full and their lists healthy at the same time.

Join us

The team

• 

  Michael Foster

  Co-Founder / CEO

• 

  Dries Vincent

  Co-Founder / CTO

• 

  Celeste Vandermark

  Head of Data Science

• 

  Courtney Henry

  Head of Customer Success

• 

  Marcus Eldridge

  Director of Product

• 

  Whitney Francis

  Conversation Design Lead

• 

  Leonard Krasner

  Integrations Engineering Lead

• 

  Nolan Sheffield

  Principal Designer

• 

  Emily Selman

  VP, Multi-Unit Partnerships