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Signal key

momentum_score

Category

Composite

Source

Composite rollup of all positive signals, recomputed nightly.
A nightly composite score ranking a company’s upward trajectory.

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When it fires

Trigger condition

Recomputed nightly per company. Weighted rolling score: +2 per growth signal, +1 per activity-increase signal, +3 per executive hire, decayed by age (× 0.5 per 30 days). Persisted as one document per company per day with to_value = score.

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Stored fields

This signal persists the following metadata you can read downstream:

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Magnitude

Continuous score rather than a bucketed event.
For the full bucket definitions used across percentage-based signals, see Magnitude buckets.

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Why it matters

It gives you one number to rank your whole list by upward trajectory. Instead of watching dozens of individual signals, momentum_score rolls all the positive ones into a single, decaying score, so you can sort your entire territory by who’s heating up right now.

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How to use Momentum Score?

The setup. You are the RevOps director at a B2B software company, and it is territory-planning season. The annual ritual: carve six hundred accounts across eight reps using employee count and industry, then spend the year watching some “A-tier” accounts sit dead while nominal C-tier accounts explode. Static firmographics answer “how big?”, never “which of these companies is actually going somewhere?” What you want. A trajectory dimension in the territory model, so account scores reflect direction of travel, not just size. The signal fires. Not as an event but as a ranking: momentum_score is computed nightly for every company, aggregating the upward signals, hiring, growth, funding, audience, into a single comparable number. You pull it for all six hundred accounts and sort. The reshuffle is immediate: a 90-person logistics-tech firm outscores three enterprise accounts your model had gilded for years. Reading it. Momentum answers the question size cannot: which accounts will have new budgets, new initiatives, and new pain this year. High-momentum small accounts become mid-market accounts inside your fiscal year, and the vendor already in the building when that happens wins by default. Low-momentum large accounts still matter, but as retention work, not growth bets, and staffing them like growth bets is how territories quietly fail. The play.
  1. Add momentum as a scoring axis next to size and fit, weight it visibly so the model is arguable rather than mystical.
  2. Balance territories by momentum, not just count, every rep gets a fair share of companies going somewhere, which is also the fairest quota logic you will ever ship.
  3. Route the top decile into a fast-touch motion regardless of current size; today’s momentum is next year’s segment upgrade.
  4. Re-pull quarterly; momentum decays and spikes, and the model should breathe with it.
Automate it. A scheduled Company Signals API job on momentum_score across your account universe keeps the ranking current with zero analyst hours. Why it lands. Every competitor sizes accounts by what they are. Scoring them by what they are becoming is the cheapest unfair advantage in territory design.

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How to read it

Single ranking

One number summarizes all positive momentum.

Recency-weighted

The 30-day decay keeps the score current.

Sort your list

Rank an entire territory by trajectory at a glance.

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Outreach playbook

Use as your primary sort. Work the highest-momentum accounts first.

Risk Score

A nightly composite score ranking a company’s decline and risk.

Employee Growth

A company’s employee count increased by at least one between snapshots.

C-Suite Hire

A new C-level executive joined the company.

Funding Round Announced

A new funding round was announced.

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