What it looks like when audience behavior becomes readable
Beltmar turns raw website events into a daily narrative — who's warming, who returned after going quiet, what they're researching. Below is a walkthrough of the four core views, built around a fictional content business.
5
New this week
6
Momentum shifts
4
Returns
Alex Rivera
High priority · strong signalPrimary pattern
Deep research across 4 themes (16 events) · 3 returns in 7 days
Decision context
Why this matters
Behavior suggests evaluation-phase research. Pricing and implementation themes appeared in the last two sessions.
How to read this
This pattern often reflects structured exploration rather than casual browsing, especially when returns cluster in a short window.
What to watch for next
Whether returns continue over the next 3–5 days, and whether exploration expands into implementation themes.
Questions worth sitting with
Do we have clear explanations of our implementation approach? Is there enough context around onboarding?
What changed since yesterday
- ↑ 3 actors shifted from stable to warming
- ← 2 actors returned after 10+ days of inactivity
- · Pricing and onboarding themes saw the largest depth increase
01
A daily narrative of momentum
The Daily Brief is a morning read — not a dashboard. It tells you who is warming, who returned after going quiet, and what changed since yesterday. No charts, no funnels, no alerts. Just the signal and how to think about it.
Three layers, every time
- Pattern — what behavior is visible and at what intensity
- Context — how to read it without over-interpreting
- Questions — what to sit with, not what to do
What shifts
Teams open the Brief and spend 5 minutes instead of 45. The conversation changes from “what should we do?” to “here’s how the week is shaping up.”
02
Talk to your audience data
That's a real, live BeltAI on the left — try it. Same model, same voice, same honesty about what it doesn't know. It just happens to be reading a sample workspace instead of yours.
It won't bluff
Ask it something the data can't answer and watch it say so, instead of guessing. That's the whole product philosophy in one interaction.
Last 10 days
Day 1 · Lands on overview · reads "What is Beltmar"
Discovery · 2 page views
Day 3 · Returns to How it Works and Audience Research
Early research · 4 page views
Day 6 · Focuses on pricing, guarantees, onboarding
Evaluation-phase · 6 page views
Day 10 · Brief return to Audience Research after 4-day gap
Return after quiet · 3 page views
Your notes
Narrative interpretation
Curiosity has moved from broad exploration into focused evaluation.
Initial visits were exploratory. Subsequent sessions concentrated on pricing and implementation — suggesting active evaluation rather than casual browsing.
The short gap followed by a return to Audience Research suggests continued active consideration of fit.
Beltmar describes shifts as they appear in the data. It does not assert intent.
03
One person's story over time
Actor Journeys show how curiosity evolves for a specific individual — timeline, narrative interpretation, and your own notes in one view. Phase, not intent. Context you can actually act on, not a score.
Notes on actors
Add notes directly to an actor — context from a conversation, a conference, a prior relationship. BeltAI reads those notes and factors them into responses about that person.
Subscription matching
If someone subscribes to your newsletter or product, Beltmar links that data to the actor — so behavioral signals and subscription status live together.
Cohort
Deep Research Explorers
High depth across 3–5 themes, frequent returns after gaps. Smaller group, outsized signal quality.
What this suggests: structured evaluation rather than casual browsing — these actors tend to reach decision points.
What to watch: which themes they revisit as exploration narrows.
Theme roles
- Discovery · Entry point · attracts first visits, rarely revisited.
- Research · Depth builder · revisited by actors doing structured exploration.
- Evaluation · Signal theme · appears near concentrated evaluation behavior.
Observation
confidence: mediumThe “Research” theme is seeing more return visits relative to total visitors than last period — a possible indicator that content is getting more thorough evaluation than before. Worth watching over the next 14 days before drawing conclusions.
04
Patterns across many people
Audience Research zooms out from individuals to show recurring behavioral cohorts and the roles your themes play across them. Interpretive observations — not optimization targets.
Observations feed
Detected shifts are logged with confidence levels and uncertainty notes — not presented as facts. The goal is to surface what might be worth watching, not to tell you what to conclude.
Market context
A separate daily digest brings in the broader conversation — industry signals, topic momentum, and how your content sits relative to what's happening outside your site.
Full platform
Everything in the same interpretation flow
The four views above sit within a broader platform. Here's what else is in the same workspace.
BeltAI Memory
persistentBeltAI remembers facts you share across sessions — business model, key actors, what you're focused on. Each conversation builds on the last.
Subscription Matching
cross-signalLink newsletter subscribers, paying customers, and Stripe data to actors. Behavioral signals and subscription status in one view.
Market Context
A daily digest of industry-level signals — topic momentum, competitive context, and how outside events might be shaping your audience's behavior.
Inbound Sources
provenanceSource mix and entry context with content-linked traces when identifiers are present. Understand where your real audience comes from.
Research Artifacts
Snapshot-and-diff research artifacts. Compare audience behavior across time windows and share interpretive reports outside your workspace.
Observations Feed
Auto-detected shifts logged with calibrated confidence and neutral questions to explore — never prescriptive, always honest about uncertainty.
Free for 14 days — no credit card
Ready to see your own audience through this lens?
Connect your data with a website snippet, CSV import, or newsletter integration. Beltmar will start building Daily Briefs, actor journeys, and cohort patterns from your own signals — not a demo.
Start in under a minute. No credit card, no waiting on approval.