In-app Message Agent
Drafts context-sensitive in-app messages by segment and lifecycle phase so the right users see the right thing at the right moment — continuously, in your systems, in your tone.
In-app Message Agent
Drafts context-sensitive in-app messages by segment and lifecycle phase so the right users see the right thing at the right moment.
Content & Ads
The problem
What this agent takes off your plate
In SaaS, drafts context-sensitive in-app messages by segment and lifecycle phase so the right users see the right thing at the right moment — but doing it manually does not scale. In-app Message is the kind of work that piles up when nobody has dedicated time for it. Context is scattered, SLAs slip, and your team ends up on repeat work instead of the decisions that matter.
- Drafts context-sensitive in-app messages by segment and lifecycle phase so the right users see the right thing at the right moment.
- In-app handled automatically against your rules
- Messaging handled automatically against your rules
- Runs inside Content & Ads — writes back to the tools you already use
How it works
End-to-end workflow
In-app Message connects to In-app, Messaging, Meta Ads and your content & ads stack. It reads your rules, brand voice and live data — then drafts context-sensitive in-app messages by segment and lifecycle phase so the right users see the right thing at the right moment. Exceptions land with your team; everything else runs without another dashboard to check.
Why this agent
Drafts context-sensitive in-app messages by segment and lifecycle phase so the right users see the right thing at the right moment.
Outcomes
- In-app Message runs without manual handoffs
- B2B SaaS companies spends less time on repeat work
- Consistent output every time — not when someone gets to it
- Full trace in your existing systems
Connects to
Writes back
Turn tangled operations into clean, owned automation.
187N reads your tickets, orders and brand rules — then runs the work across every department and writes back to the tools you already use. Your team keeps the exceptions; the agents take the rest.
