AI-powered revenue forecasting

Replace optimistic spreadsheets with forecasts built on pipeline signals

Avoma's sales forecasting software connects CRM data and conversation signals into a single pipeline view. Track pipeline movement, surface deal risk early, and submit forecasts grounded in deal data

Saves 15 minutes per meeting
Works with
Trusted by 1,000+ revenue teams
4.8/5 on
1300+ reviews

Why your sales forecasts are unreliable

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CRM data goes stale between reviews

Reps miss logging stage changes, close date shifts, and contact activity. Managers patch the gaps with spreadsheets that are out of date before the next forecast call.
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No visibility into pipeline movement

Pipeline reviews show where deals stand today, not how they moved. Tracking period-over-period changes in a spreadsheet takes hours and is already outdated by the time it is shared.
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Forecasts built on rep confidence

Reps submit what they believe will close. Managers roll those numbers into a spreadsheet without a way to verify them. The forecast looks structured but the inputs are opinion.
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No consistent way to define commit

Without a structured submission process, reps categorize deals based on personal judgment. Managers roll up numbers built on different definitions of Commit, Best Case, and Pipeline, making the final forecast unreliable.

Forecast with accuracy, evidence, and control

Deal Risk Signals

Flag at-risk deals before they go cold

Deal health scores built from conversation signals, CRM activity, and buyer engagement identify which opportunities lack momentum. AI-generated Risk Scores, Qualification Scores, and Forecast Risks show at the deal level inside the submission table, so reps make more defensible commit decisions and managers catch underqualified deals before they reach the final number.

  • Risk Score is driven by conversation intelligence signals from calls, emails, and meeting notes
  • Qualification Score reflects deal criteria including executive sponsor coverage, next steps, and stakeholder involvement

Pipeline Health Monitoring

The Pipeline Walk compares your pipeline at the start and end of a period, showing historical and current deal values side by side. A color-coded Pipeline Trend chart shows deal distribution and total value across stages so pipeline reviews start with data.

  • Period-over-period comparison shows which deals advanced, regressed, or were lost
  • Drill into any stage to see deal counts, values, and movement at the opportunity level
  • Overlay forecast submissions on the Pipeline Trend chart to compare pipeline against what was committed
Forecast Submission and History

Track what was committed, changed, and by whom

The Forecast Overview consolidates key pipeline metrics including, target, closed won, commit, open deals, and others, directly into the submission screen. A guided workflow walks reps through Commit, Best Case, Pipeline, and Not Forecasted with per-category deal counts.

  • Weighted Amount metrics calculate totals based on deal-stage probability, separating likely closes from raw pipeline value
  • Submission history logs who changed what and when, with prior week comparisons showing how Commit and Best Case numbers shifted
  • Forecast reminders go out by email or Slack on a recurring schedule, in each person's local timezone, to keep submissions consistent
Quota and Target Tracking

Track quota attainment against pipeline

The Target and Pipeline Overview shows percentage of quota attainment alongside open pipeline and gap coverage. Targets are set at team level, member level, or both, with roll-up computed when a team-level target is not explicitly set.

  • Set targets by team, by member, or both in the same flow
  • Attainment percentage updates as deals close and pipeline shifts
  • Gap and coverage metrics drop away when quota is reached
Forecast Roll Up

Give leadership a forecast built on deal data

Pipeline, Best Case, Commit, and Closed Won categories roll up by rep and manager into a structured revenue forecasting view. Custom forecast categories map to any CRM property so definitions reflect how your business operates across segments and product lines.

  • Custom forecast categories ensure Commit, Best Case, and Pipeline mean the same thing across the team before rolling up
  • Custom amount fields per segment support revenue prediction for multi-product teams
  • Managers drill into selected deals to validate Commit with deal-level evidence before the number reaches leadership

3 minutes

That's all it takes for reps to submit a forecast

6+

deal reviews per submission. No more gut-feel forecasts

1 in 2

reps submit their forecast the same day they open it.

How Avoma turns pipeline data into a forecast you can defend

1
Connect your CRM and calendar

Link Avoma to Salesforce or HubSpot. Deal data, stage history, close dates, and custom fields sync across so the forecast dashboard reflects current pipeline status from day one.

2
Avoma captures signals and scores deal health

After meetings, Avoma writes notes, next steps, and activity back to your CRM and scores the deal against conversation signals and buyer engagement. At-risk opportunities are flagged before they show up as misses in the forecast.

3
Inspect deals, submit forecasts, and track quota attainment

Managers check the forecast dashboard to review pipeline health, validate rep commits against deal evidence, and roll up to leadership. This is where revenue intelligence connects conversation data to pipeline reality, giving a forecast built on what is happening in deals, not what reps reported.

Try It Free

Trusted by high-performing revenue teams forecasting with confidence

I use Avoma for recording and reviewing sales calls, and it's very seamless with high reliability
Zaid.M
Enterprise AE
Avoma is very easy to use and provides everything I need (pre and post-call) to perform a solid sales cycle.
Adam R.
Senior Account Executive

Frequently asked questions

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       "text": "CRM-based forecasting relies on rep-entered data, which is only as accurate as rep discipline allows. Avoma's sales forecasting software adds a conversation intelligence layer, analyzing calls, meetings, and emails to surface deal signals that never make it into the CRM. This means deal health scores, risk flags, and commit validation are based on buyer behavior, not manual updates."
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