Ingestion and validation
Clean the source data.
Validate formats, normalize names, domains, emails, roles and countries, remove duplicates, flag conflicts, and assign stable Account and Contact IDs.
Trackly AI · Buyer Intent
AI buyer intent that explains who is researching, why now and what to do next.
Trackly turns an approved ABM watchlist and permitted buyer intent signals into explainable B2B buyer intent data: Account and Individual Track Scores. Marketing and sales see the topic, stage, momentum, evidence and recommended next action behind the number.
Trackly uses configured, lawfully permitted data sources. Available signal depth depends on integrations, identity method, consent and jurisdiction.
Intent intelligence layerExplainableTrack
Score0–100
WebsiteEmailFormsCRMEventsExternal intentScore0–100
Account intentContact intentNext-best action
The approved list tells Trackly who to watch.
Signal sources show what is happening.
The scoring engine decides what matters now.
AI explains what it means.
01 · Target watchlist
Start with the accounts and people the business actually cares about.
An uploaded ABM file becomes Trackly's target watchlist. It can include approved companies, known contacts, roles, work emails, domains, regions, industries and campaign or CRM identifiers.
List defines who to watchSignals determine what is happening
Company identity resolution
Create one canonical account.
Connect domain, aliases, industry, employee range, revenue band, headquarters, technology context and region.
Contact identity resolution
Build a stable known-person profile.
Connect work email, company, title, seniority, department, CRM ID, campaign ID and other consented identifiers.
Approved recordIdentity state
Company domain + roleMatched
Known email + CRM IDResolved
Incomplete account recordEnrich
02 · Signal collection
Combine owned engagement with configured external context.
Every event remains connected to its source, strength, confidence and identity level. Trackly distinguishes named-person evidence from account-level research instead of blending everything into one opaque score.
First-party intent signals
Website behaviour
Solution, pricing, comparison, case-study, calculator and contact-page activity.
Email engagement
Tracked CTA clicks, replies, campaign interactions and topic-specific link activity.
Forms
Demo requests, contact forms, downloads, subscriptions and assessment submissions.
Events and webinars
Registration, attendance, session participation and post-event action.
CRM and sales
Meetings, qualified conversations, replies, stage progression and opportunities.
Product or portal
Approved authenticated usage or account activity connected to known users.
Signal provenance stays visibleWebsiteEmailCRMPublisherExternal account research
03 · Two questions, two scores
Separate account activity from known-person engagement.
Account and individual evidence answer different commercial questions. Trackly keeps both views distinct and then connects them for prioritisation.
86/100
Account Track ScoreIs something happening inside this account?
Uses topic surges, multiple visitors, buying-group activity and aggregate engagement to guide account prioritisation and territory focus.
- Trend and momentum
- Top intent topics
- Buying-group pattern
91/100
Individual Track ScoreWhich known person should sales prioritise?
Uses identified sessions, email clicks, forms, events and CRM interactions to support personalised, evidence-led outreach.
- Recent attributed actions
- Known topics and stage
- Recommended next step
Illustrative score display. Final values depend on configured signals, identity confidence and validated scoring weights.
72High intent
Illustrative model(Strength × Relevance × Recency × Confidence)+ Frequency + Momentum + Account Context
0–24 Low25–49 Moderate50–74 High75–100 Very High
04 · Explainable Track Score
A score should show why intent changed.
Trackly is designed to retain each component, not only the final 0–100 number. This makes the model inspectable and helps teams calibrate it against real opportunity and conversion outcomes.
High-value first-party behaviour
Direct evidence such as solution, pricing, demo and case-study engagement.
Frequency and return visits
Persistence across sessions rather than a single accidental click.
Topic relevance
How closely activity matches the target solution or ICP topic.
External or account intent
Research surges or partner-platform activity, usually strongest at account level.
Buying-stage signals
Actions associated with consideration, evaluation or decision.
Role and ICP fit
Seniority, department, buying role and account fit. Fit informs priority; it is not intent.
Momentum
Whether relevant activity is increasing and the account is heating up.
05 · Intent accumulates
See how a known contact can move from fit to active demand.
The following progression is illustrative. It demonstrates how stronger, repeated and more recent evidence can change an Individual Track Score.
Profile created
Baseline fit only
Campaign CTA clicked
+8 relevant engagement
Solution page visited
+10 topic interest
Case study read
+10 evaluation signal
Adjacent solution explored
+8 connected research
Returned next day
+12 frequency + recency
Pricing or contact visited
+20 late-stage action
Account intent surged
+12 account context
Observed activity
Viewed content syndication guideViewed ABM service pageViewed BANT contentRead a relevant case studyVisited pricing06 · Event and topic intelligence
Turn raw behaviour into a reason sales can understand.
- Primary topic
- Content syndication
- Secondary topic
- Account-based marketing
- Buying stage
- Consideration → Decision
- Intent strength
- High
- Recommended action
- Follow up around predictable pipeline generation and relevant proof.
Topic classificationBuying-stage classificationSemantic clusteringNext-best actionReason generation
07 · Recency, decay and momentum
Recent action should matter more than old activity.
Buyer intent loses value over time. Trackly can reduce the retained value of older events while keeping momentum separate from the absolute score.
Today100%
1–3 days90%
4–7 days75%
8–14 days50%
15–30 days25%
30+ days10%*
08 · Identity boundary
A work email does not unlock a person's entire internet activity.
Trackly can score only identifiable behaviour from permitted, technically available data sources. Signals available only at anonymous, company or buying-group level remain at that level.
- Tracked email and link engagement
- Identified website sessions where lawful and disclosed
- Forms, downloads and webinar registrations
- Authenticated product or portal activity
- CRM and sales interactions tied to a known person
- Permitted partner signals with reliable person-level identity
- Unrestricted access to an individual's browsing history
- Named-person claims based only on account research
- Anonymous activity presented as verified identity
- Probabilistic inference presented as confirmed fact
Confidence, identity method and evidence level stay visible.
09 · Trackly AI architecture
Seven connected layers turn signals into decision support.
Each layer keeps its own evidence and passes structured context forward. The result is an auditable path from source record to sales or marketing action.
Every event retainsContact ID if knownAccount IDTimestampSourceSource categoryPage or assetIntent topicBuying stageRaw event valueConfidenceConsent statusScore contribution
ABM intake
CSV/XLSX upload, CRM sync, account and contact ingestion, validation.
Identity and enrichment
Company normalization, contact resolution, firmographics, role and seniority mapping.
Signal collection
Website, email, forms, webinars, CRM, product activity and external providers.
Event and topic intelligence
Normalize events; classify topic, buying stage, relevance and confidence.
Scoring engine
Account and individual scores, decay, frequency, momentum, fit and confidence.
AI recommendation
Summaries, reason codes, stage inference, next-best action and outreach guidance.
Activation
CRM alerts, sales queues, marketing audiences, workflows, reports and API outputs.
10 · Example output
One view of the account, people, topics and reason to act.
This illustrative dashboard shows how the underlying model can be made useful without hiding the source evidence behind a single score.
86/100+34% this week
Top intent topics
Content syndication91
Lead generation84
Account-based marketing78
Demand generation69
VP Marketing
Last activity · 2 hours ago
Director, Demand Generation
Last activity · yesterday
Marketing Manager
Last activity · 3 days ago
- 2h Pricing page viewed
- 5h Content syndication page viewed
- 1d ABM case study consumed
- 1d Email CTA clicked
- 2d Account-level intent spike detected
Prioritise the two strongest known contacts.
The account is showing increasing ABM and content-syndication interest, supported by recent first-party interaction. Tailor outreach around predictable pipeline generation and relevant proof.
Why nowRising momentumLate-stage pagesMultiple contacts
11 · Sales and marketing activation
A score matters only when it improves the next decision.
Trackly connects prioritisation with clear evidence, a suitable route and a feedback loop.
Prioritise
Rank target accounts by Account Track Score, momentum, ICP fit and strategic importance.
Identify people
Rank known contacts by Individual Track Score and buying role.
Understand why
Show the recent signals and intent topics behind each score.
Choose the action
Route to sales, nurture, audience activation or continued monitoring.
Personalise
Use the strongest topic and most relevant proof point in the next touch.
Learn
Feed opportunity and conversion outcomes back into model calibration.
12 · Data governance and trust
Make transparency part of the product architecture.
Buyer-intent intelligence processes behavioural and identity data. Trackly's decision support should remain controlled, explainable and auditable.
- 01Keep source provenance with every signal
- 02Separate anonymous, account, buying-group and person evidence
- 03Store confidence and identity-resolution method
- 04Honour consent, opt-out, retention and jurisdictional requirements
- 05Collect only data needed for the stated business purpose
- 06Support deletion, suppression, score reset and source controls
- 07Explain why a Track Score changed
- 08Never present probabilistic inference as verified fact
13 · Framework roadmap
Build the intelligence layer in validated phases.
Capabilities should align with the data sources, integrations, consent model and scoring logic actually configured in Trackly.
First-party intent
Owned-data mapping and explainable account and individual scoring.
Intelligence
Topic taxonomy, AI classification, stage inference, decay, momentum and dashboards.
External intent
Provider integrations, account surges, partner signals and buying-group intelligence.
Activation
CRM integrations, alerts, sequences, advertising audiences, workflows and APIs.
Learning model
Use conversion and opportunity outcomes to tune weights by segment and customer.
ABM listResolveEnrichCapture signalsClassify intentScorePrioritiseActivateLearn
From signals to sales context
See how Trackly can make your buyer intent clearer.
Share the account, contact or activation decision you want to improve. We will use it to frame the most relevant Trackly conversation.