GTM engine
From noisy signals to a queue worth working.
Radarr ranks go-to-market signals by evidence so teams work the highest-intent accounts first.
- Hiring post
- Funding news
- Pricing page visit
- Tech stack change
- Review site mention
Score = Fit × Timing × Intent
- Account A4 sources corroborate0.86
- Account B3 sources corroborate0.74
- Account C2 sources, timing early0.61
- Account D1 source, rep review0.38
Ingest → Corroborate → Score → RouteOutcomes feed back
- Signals
Many sources, one view per account.
- Evidence
A signal counts when a second source corroborates it.
- Queue
Reps work the ranked queue; outcomes feed back.
- 1Ranked queue for every rep
- ScoredIntent, corroborated by evidence
- ClosedFeedback loop from every outcome
Design figures: how every Radarr deployment is built.
Seven applications, one operating loop
The family Radarr belongs to.
Every application writes to the same BergFlow record and runs its automated steps on BergAuto.
- BergAutoAgent suite that scores and executes repeatable steps across workflows.
- RosterrRuns live operational queues with SLAs, QA sampling and escalations.
- QuinnVets specialists and assembles staffed teams.
- CharterrEmbeds managed BergLabs pods inside your operation.
- SirennRuns SLA-bound voice workflows, from answer to routing.
- RadarrRanks go-to-market signals into outreach queues.
- AtlassAudits and fixes how AI search describes your brand.
- BergCrawlerCaptures crawl evidence: the screenshot, timestamp and source.
How it runs
How Radarr turns signals into a ranked queue.
Four steps, with a rep review wherever the evidence is thin.
01Ingest signals
Hiring posts, funding news, site visits, tech changes and review-site mentions are pulled into one account view.
02Corroborate evidence
A signal only counts toward intent when a second, independent source backs it. Single-source signals are flagged.
03Score and rank
Each account is scored on fit, timing and intent, and the queue is ranked by that score.
04Route to outreach
Ranked accounts go to the right rep or sequence. Thin-evidence accounts go to a rep for review first.
Capabilities
What Radarr gives a revenue team.
Six capabilities, with the evidence kept on every account record.
- 01
Signal ingestion
Buying signals from public and first-party sources, normalised to one account view.
- 02
Evidence corroboration
Signals are cross-checked before they count, and the sources stay on the record.
- 03
Intent scoring
Fit, timing and intent combined into one score your team can read and challenge.
- 04
Ranked queues
A queue per rep or territory, ordered by score, refreshed as signals change.
- 05
Outreach routing
Accounts routed to reps or sequences; drafts can be prepared for rep approval.
- 06
Feedback loop
Meeting, pipeline and loss outcomes are written back, so weak signals lose weight.
Key facts
Radarr at a glance
The essentials, as a structured record.
- Built on
- BergAuto for ingestion and scoring; BergFlow for account records, evidence and feedback
- Score
- Fit × timing × intent
- Runs inside
- Your CRM and outreach tools; Salesforce, HubSpot, Outreach and Apollo appear in our use cases
- Review path
- Thin-evidence accounts reviewed by a rep before routing
- Reporting
- Weekly conversion feedback by signal and segment
- Related use cases
- Account intent scoring, lead routing
Questions
Questions about Radarr
Scores, evidence and outreach.
Radarr
What is Radarr?
Radarr is BergLabs’ GTM engine. It ingests buying signals, corroborates them with evidence, scores accounts on fit, timing and intent, and routes a ranked queue to outreach.
How is a Radarr score built?
A score combines fit, timing and intent. A signal only counts toward intent when a second, independent source corroborates it.
Does Radarr send outreach itself?
No. Radarr routes ranked accounts to your reps or sequences. Drafts can be prepared, and a rep approves them before anything is sent.
How does the feedback loop work?
Outcomes from outreach are written back to the account record, so signals that rarely convert lose weight over time.
Give your GTM team a ranked queue.
Bring one segment and one quarter of signals. We return a ranked queue and the evidence behind every score.