framer
SaaS

Support that scales with your MAUs.

Activation, adoption, expansion, renewals — every touchpoint is an opportunity. Framer turns support into a growth channel.

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The problem

What breaks at your scale.

  • 01Free‑tier volume explodes with every launch, revenue lags behind.
  • 02Docs, changelogs and code answers are scattered across three tools.
  • 03Support insights never reach product — bugs come back forever.
  • 04Expansion moments happen in tickets, but no one is watching.
app.framer-ai.app/agent
Inbox
All · 42
Unassigned · 12
Mine · 7
Urgent · 3
Snoozed · 5
Closed · 218
EM
Emma Reyes
Order #48291 · Gold · 3y
Any update on my refund? It's been almost a week.
Hi Emma — I just released your refund of $128.40. It'll land in 3–5 business days.
AI suggested next reply
Would you like me to expedite via store credit as a courtesy?
Customer
PlanGold
LTV$2,340
Tickets14
CSAT4.8
Sources
· Refund policy (EU)
· Order #48291 · Stripe
· Warehouse log · NL-01
Outcomes

Measured lift, not vibes.

58%
Free → paid lift
68%
Tier‑1 deflected
‑42%
Time to activation
12%
Expansion from support
Use cases

Where Framer shines.

In‑app assistant
Contextual help that reads the screen, cites the docs, and offers next steps.
Activation nudges
Detect stuck users, trigger targeted outreach with the right playbook.
PLG loops
Surface expansion signals from support and route them to sales in real time.
How it works for SaaS

In‑product answers, grounded in your code and docs.

Framer reads your product surface, changelog and repos — so answers cite the screen the user is looking at, not a stale FAQ.

  1. STEP 01
    Embed anywhere in the product

    A 12kb SDK, a JS snippet or a REST call — the assistant renders inline, with page context and user state attached.

    • React / Vue / native SDKs
    • Screen + user context
    • Consent‑gated telemetry
  2. STEP 02
    Index docs, changelog & code

    Public docs, private docs, changelog and GitHub / GitLab repos become one retrieval index — with permission awareness.

    • Code‑aware chunking
    • Changelog freshness
    • Private repo ACLs
  3. STEP 03
    Answer with citations

    Every answer links back to the exact doc section or code snippet, so users trust it and engineers can verify it.

    • Deep‑linked citations
    • Runnable code blocks
    • Locale + version aware
  4. STEP 04
    Escalate to the right team

    When the assistant can't resolve, it routes to CS, engineering or billing with the full session trace attached.

    • Sentry / Datadog trace attached
    • Session replay link
    • Priority from LTV + churn risk
  5. STEP 05
    Feed product back to product

    Ticket clusters and unanswered questions ship weekly to product managers as prioritized backlog items.

    • Cluster → Jira / Linear
    • Confidence + volume ranked
    • Impact on churn attached
Workflow diagram
1In‑app SDK2Product telemetry3Docs + code index4AI reply5Feedback loop6Product signal
Avg. setup
3 weeks
SLA
99.99%
Regions
12
"Framer reads our docs, our code and our tickets. It answers like our senior engineer would."
Lena Fischer — COO, Foundry
FAQ

Common questions from this industry.

Do you integrate with our product?+

Yes — via SDK, JS snippet, or REST. Reads screens, code and telemetry with user consent.

Does it work for developer tools?+

Especially well — we ship with a code‑aware retrieval mode and GitHub/GitLab connectors.

Pricing at scale?+

Usage‑based with volume discounts and predictable annual commits.

Give your support team an unfair advantage.

Buy 50 credits. Deploy in a day. Measure lift in your first week.

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