AI for Member Engagement

Turn covered lives into engaged members.

An AI growth team that moves the number. Or you don't pay.

Request Access
1.5x
Up to 1.5x engagement lift on campaigns Ambara has informed.

The Problem

You own the gap between covered lives and enrolled members.

You need to grow revenue and prove ROI to your client. But the people you contracted aren't signing up. Or they sign up and never really engage. Closing the gap is one of the hardest operational problems in digital health, and it's the one you're measured on.

01

Outreach is blunt

Templated and disconnected from what a member is actually doing. It misses people at the moment they're most likely to act.

02

Data is scattered

Engagement, claims, outreach history, demographics. They all live in different systems. By the time an insight surfaces, the moment to act has passed.

03

Bandwidth is the bottleneck

Better copy and timing live downstream of segmentation, analysis, and build. That's data science and marketing ops work. The experiments that would actually move the number sit in their queue.

An AI growth team that designs and ships evidence-backed campaigns.

Ambara starts as an intelligence layer over the tools you already use, then grows into the team running the work.

Stage 01 / Pilot

Your existing stack, smarter inputs.

No change to how your team works today. Ambara reads across your data and hands your growth team better recommendations, in the tools they already use.

01

Send us your messiest data

Whatever you have, in whatever shape. CSVs, database dumps, warehouse exports, raw event logs. Wherever engagement, claims, and outreach data lives. We handle the cleanup, joining, and modeling.

02

Surface actionable insights

We identify which members are most likely to engage, the right channel and timing for each, and the messaging most likely to work, all from your own data.

03

Your team ships, using your tools

Recommendations go directly to your team. You stay in Braze, Iterable, HubSpot, or whatever you already use. We don't ask you to change your stack to prove the lift.

If you could add 10% more engagement anywhere in your book, where would you add it first?

Stage 02 / Deeper engagement

Ambara ships the campaigns.

Once the lift is proven, Ambara takes over implementation. Segmentation, copy, and campaign build happen automatically. No more waiting on data science or marketing ops queues.

04

AI builds and implements campaigns

Ambara generates the segments, drafts the copy, and queues the campaigns end-to-end. No more waiting on data science for a list or marketing ops for a send.

05

You approve; we measure what moved

Your team approves every campaign before it ships. After, we measure enrollment, lift, and ROI automatically and feed the result into the next experiment.

We own the lift.

Self-taught AI hands your team words. We hand you a number. No retainers, no setup fees. We get paid against measured uplift on your own data. If we don't move the number, you don't pay.

How it works

Pay against measured lift, not promises.

We agree on a target metric upfront (typically enrollment or active engagement in your covered population), and a baseline measured from your own data. Ambara only invoices for the lift above that baseline, priced below the value of the engagement we deliver. By the time the invoice clears, the campaigns have paid for themselves.

What we own

You don't own the prompts.

An LLM by itself gives your team a starting point. We own the segments, the timing, the copy, the channel, and the lift number, end-to-end. You don't need to staff prompt engineers or model tuners to get value from this.

Request access here.

Tell us about your book. We'll show you where the 10% lives.

Thanks for reaching out.

We'll be in touch shortly.