Fairview
Next-Best Action Engine · Step 05 of 07

Not just reports. Specific next steps.

Every anomaly Fairview detects — in margin, pipeline, or churn — becomes a named action with an estimated revenue impact. Not alerts. Actions.

Named deals and campaigns — not generic alerts Revenue impact estimate per action No credit card required
Next-Best Actions · This Week 3 actions

3 actions this week

2 high priority

Google Ads: Margin below threshold

3 campaigns have contribution margin below 15%. Pause or reduce budget before end of week. Estimated recovery: $2,400/month.

High

Pipeline: 3 deals stalled in Stage 4

Acme Corp, BrightPay, Halo Labs — no CRM activity in 14+ days. Combined value: $87K. Assign follow-up tasks today.

High

Churn signal: 2 accounts downgraded

Stripe shows 2 subscription downgrades this week. Check last HubSpot activity — no recent contact on either account.

Med

Detects anomalies across

Margin signalsPipeline signalsChurn signalsForecast riskAd spend signals
The alert problem

You get alerts.
You need actions.

Most tools tell you something changed. They don't tell you what to do about it, which asset is affected, or how much revenue is at risk. You still have to figure that out yourself.

  • "Pipeline coverage dropped" — but which deals? Which AEs?
  • "Ad spend ROAS declined" — but which campaigns? By how much?
  • "Churn signal detected" — but which accounts? What's the revenue risk?
Notification center 14 unread

⚠ Pipeline coverage below target

2h ago

No further detail available

📉 Ad spend ROAS declined

1d ago

Google Ads campaign

🔔 Deal stage not updated

3d ago

Multiple deals affected

⚠ Churn risk detected

4d ago

See CRM for details

Still need to figure out what to do.

generic

The fix

Named. Prioritised. Revenue-quantified.

Fairview cross-references margin, pipeline, and churn data — and generates specific next-best actions: the deal name, the campaign ID, the account, the risk, and the estimated revenue at stake.

  • Names the specific deal, campaign, or account — not a category
  • Includes estimated revenue impact for every recommendation
  • Actions can be assigned to team members directly from the dashboard
Next-Best Actions · Live

Google Ads: Margin below threshold

3 campaigns have contribution margin below 15%. Pause or reduce budget before end of week. Estimated recovery: $2,400/month.

High

Pipeline: 3 deals stalled in Stage 4

Acme Corp, BrightPay, Halo Labs — no CRM activity in 14+ days. Combined value: $87K. Assign follow-up tasks today.

High

Churn signal: 2 accounts downgraded

Stripe shows 2 subscription downgrades this week. Check last HubSpot activity — no recent contact on either account.

Med
How it works

Detect. Prioritise. Assign.

Detect anomalies

STEP 01

Fairview scans margin, pipeline, and churn data daily. Any signal that crosses a threshold triggers an anomaly detection event.

Margin drop detected — Google Ads
Pipeline stall — 3 deals, Stage 4
Churn signal — 2 Stripe downgrades

Prioritise by impact

STEP 02

Each anomaly is scored by estimated revenue impact. High-priority actions (largest risk, closest deadline) surface first.

Google Ads margin$2,400/mo risk
3 stalled deals$87K pipeline
Churn signal$4,200 ARR

Assign to your team

STEP 03

Assign actions directly from the dashboard. Fairview tracks completion and reports on open vs. closed actions each week.

  • Google Ads action Head of Growth
  • Pipeline follow-ups AE Team
  • Churn account review CSM
The shift

Generic alerts. → Named, quantified actions.

Before · without Fairview

  • "Pipeline dropped" — no context on which deals or why
  • "ROAS declined" — no margin impact, no recommended action
  • Anomalies found weeks later in the monthly P&L review
  • Action decisions require another round of manual investigation
  • No way to track whether last week's actions were taken

After · with Fairview

  • "Acme Corp, $42K, 18 days no activity — assign follow-up today"
  • "Google Ads: 3 campaigns below 15% margin. Pause by Friday."
  • Anomalies detected and surfaced the same week they occur
  • Revenue impact estimate included with every action
  • Completion tracked — open vs. closed in the Weekly Report
Questions operators ask

FAQ

Short answers. No marketing fluff.

How does Fairview know what action to recommend?

It cross-references anomalies detected across margin, pipeline, and churn signals — then matches them to a playbook of known operator actions. Each recommendation names the specific deal, campaign, or account and includes an estimated revenue impact.

Are actions generic or specific?

Specific. Not "review your pipeline" — "Acme Corp, $42K, Stage 4, 18 days no activity. Assign follow-up today. Close date in 12 days." Every action names the asset, states the risk, and recommends a concrete next step.

Can I assign actions to team members?

Yes. On the Growth and Scale plans, you can assign any action to a team member directly from the dashboard. They receive a notification and the action appears in their queue. Status updates (completed vs. still open) are tracked in the Weekly Report.

What types of anomalies does Fairview detect?

Margin drops (channel or campaign below threshold), pipeline stalls (deal with no activity past configurable window), churn signals (Stripe subscription downgrades or cancellations), and forecast risk (close-date slippage compounding).

How many actions are surfaced per week?

Typically 3–7. Fairview prioritises by estimated revenue impact — not by the number of signals. A single large deal at risk generates one high-priority action, not five generic pipeline alerts.

What if I disagree with a recommendation?

You can dismiss an action with a reason. Dismissals are logged and feed back into the recommendation model — Fairview learns what your team acts on and what it doesn't.

From anomaly to action.

Stop getting alerts. Start getting actions.

Fairview names the deal, the campaign, or the account — and tells you exactly what to do, with estimated revenue impact. Every week.

14-day free trial · No credit card required · Setup in under 10 minutes