Frame the decision
Define the signal, why it matters commercially, and what evidence would qualify or disqualify an account.
Bespoke Intelligence
Build signals your competitors are not measuring
Stride creates bespoke signal models for industry-specific GTM motions, turning messy public and private evidence into monitored account intelligence with clear definitions and review rules.
Signal lab
Industry-specific signal model
Reviewed examples tune the model before signals enter the GTM motion.
Precision
Reviewed
Inputs
Signal definitionIndustry sourcesPositive examplesReview criteria
Outputs
Signal flagsConfidence scoresMonitoring rulesModel documentation
When to use this motion
When off-the-shelf intent is too generic
Bespoke signals are for teams whose best buying indicators are specific to a category, process, regulation, operating model, or market event.
Your highest-converting accounts share signals that vendors do not track.
You need to monitor industry-specific evidence across fragmented sources.
Generic intent feeds create too many false positives for sales to trust.
You want custom signal logic that can be tested and improved over time.
How Stride runs the motion
A measured signal system for specific markets
The motion treats signal creation as a model-design problem with definitions, evidence, and review loops.
Validate the account universe
Build the source universe and test sample, then check entity attachment, source quality, and coverage gaps.
Model fit, signals, and people
Model signal detection with positive examples, negative examples, confidence scoring, and human review where needed.
Deliver activation-ready outputs
Deliver monitored signal fields, review queues, account lists, and documentation that explains how the signal should be used.
Benchmarks and evidence
Custom signals need precision, not just coverage
Stride benchmarks bespoke signals against reviewed examples so teams can understand where the model is reliable, where coverage is thin, and where human review should stay in the loop.
Is the value materially wrong?
Evaluate whether each detected signal matches the definition and evidence standard agreed for the motion.
Would the GTM decision change?
Measure whether the signal would change account priority, timing, treatment, routing, or sales action.
Is the universe complete enough?
Track source coverage by market, industry, language, and company type so signal absence is not mistaken for no signal.
What needs review before activation?
Use reviewed examples and confidence thresholds to decide which signals automate, which queue for review, and which are suppressed.
Evidence layer
What Stride checks before activation
The benchmark lenses translate into concrete checks before a motion reaches sales, marketing, or operations.
Definition tests keep the signal tied to a commercial decision.
Precision review reduces false positives before signals enter sales motions.
Coverage checks expose source gaps across regions, industries, and company types.
Confidence scoring supports thresholds for automation, review, or suppression.
What your team gets
A signal layer your ops team can govern
A signal layer built around your market, with enough evidence for RevOps to govern it.
Benchmarked outputs
Activation-ready files
Review notes included
Core output
Signal definitions and qualification rules
Delivered with source context, benchmark notes, and fields your GTM systems can use.
Core output
Reviewed sample set with positive and negative examples
Delivered with source context, benchmark notes, and fields your GTM systems can use.
Included
Account-level signal fields and confidence scores
Included
Monitoring cadence and refresh logic
Included
Review thresholds for uncertain cases
Included
Documentation for sales, marketing, and operations teams
Related motions
Build around the next account decision
GTM Foundations
Account Sourcing
Find net-new accounts with Stride account sourcing, using benchmarked company data, entity confidence, CRM exclusions, and explainable prioritisation.
GTM Foundations
Account Based Marketing
Use Stride to build account-based marketing tiers, buying context, activation audiences, and sales alignment from benchmarked company intelligence.
Bespoke Intelligence
Event Mapping
Use Stride event mapping to identify businesses at events, sponsors, exhibitors, attendee accounts, regional clusters, and activation-ready account lists.
Want to run this motion against your market?
Bring the account data, segment, or motion your team is working from today and Stride will show what can be trusted, what needs review, and what should move next.