AI · Opportunity Scoring

A ranked pipeline, re-ordered every hour.

Atlas scores every active opportunity 0-100 and re-ranks the list hourly, so reps always work the top of the queue first. Two signals: likelihood to close, and expected value. No more gut-feel prioritization.

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Ranked pipeline · Alex M.

18 opps · re-ranked 12m ago

Stripe · $128K × 92% = $117K EV

Acme · $96K × 81% = $78K EV

Figma · $78K × 67% = $52K EV

Notion · $54K × 71% = $38K EV

Vercel · $42K × 28% = $12K EV

Everything you need, built in.

The essentials for teams that want to move fast without giving up control.

Expected-value ranking

Score = (win probability) × (deal size) × (urgency). Biggest levers first, always.

Per-rep and per-team

Every rep gets their own ranked list. Managers see the aggregate, color-coded by urgency.

Filter by stage or owner

Narrow to proposal-stage only, top 10 by value, or any saved view.

Hourly refresh, instant on change

Rank re-computes every 60 minutes and immediately on any new activity.

Rep workflow

Your morning queue, already prioritized.

Login. See 7 opportunities ranked by expected value. Work them top-down. That's it. No more opening 40 records to decide where to start.

Top-of-queue shortcut · one click from dashboard
Skip / snooze with reason logged for training
Keyboard shortcuts for fast cycling (j / k)
Integrated call, email, and meeting booking from rank view

Morning queue · today

Ranked · 3 require action in 24h

1. Stripe · call Priya about MSA

$117K EV

2. Acme · send revised proposal

$78K EV

3. Figma · schedule security review

$52K EV

4. Notion · follow up on pricing

$38K EV

Manager lens

See where pipe is concentrated — and where it isn't.

Managers get a concentration view: how much expected value sits in the top 10% of opps, by rep. If Alex has $400K in his top 3, he doesn't need more prospecting. If Sam's top 3 = $42K, he does.

Per-rep concentration ratio (top 10% of EV)
Distribution chart: even pipe vs. top-heavy
Coaching flags: reps with too few high-score opps
Comparison: this quarter vs. last quarter vs. peer

Team pipe concentration

EV in top 10% of deals

Alex M. · $412K in top 3

74%

Jordan L. · $284K in top 3

68%

Sam R. · $42K in top 3

18%

Teams ship revenue with this.

Real-world use cases across every revenue function.

SDRs picking outbound targets

Work the accounts with the highest fit and intent first. Atlas ranks ICP-fit leads by predicted opportunity size.

AEs maximizing focus time

A 45-minute power block, 3 ranked opps, no tab-switching. That's the entire flow.

Managers coaching capacity

If a rep's top 3 is worth $40K, they need prospecting — not pipeline review. Concentration tells the story.

Frequently asked questions

Is this the same as deal prediction?

Related but different. Deal prediction gives a probability; opportunity scoring combines probability × value × urgency into a single ranking number so reps know where to start.

Can I weight the formula differently?

Yes. Admins can override the default weights (e.g. bias toward value for enterprise teams, probability for transactional teams). Formula is auditable per tenant.

Does it work for non-sales objects?

Yes — we ship ranking for leads, opportunities, and customer success accounts. Same engine, different feature set.

Keep exploring

Deal prediction →Scoring engine →Pipeline →Tasks →

Run revenue on Atlas.

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