See what moves your business. Know what to do next.
Analytics, competitor changes, SEO, attribution and revenue leaks, read together as one system. Every finding shows its evidence, and every action can be measured afterwards.
Free workspace, no card required. One tracking snippet to start. Or request a walkthrough.
Signal → Evidence → Opportunity
- Competes with
- Observed change
- Supporting evidence
- Flow
- Surfaces opportunity
| Entity | Type | Related to | Relationship |
|---|---|---|---|
| Your Brand | Your Brand | Competitor | Competes with |
| Your Brand | Your Brand | Campaign | Observed change |
| Your Brand | Your Brand | Search signal | Observed change |
| Competitor | Competitor | Evidence: snapshot diff | Supporting evidence |
| Campaign | Campaign | Evidence: snapshot diff | Supporting evidence |
| Search signal | Keyword | Evidence: snapshot diff | Supporting evidence |
| Evidence: snapshot diff | Source / citation | Conversion event | Flow |
| Evidence: snapshot diff | Source / citation | Opportunity surfaced | Surfaces opportunity |
Observed, modeled, estimated
Every number is labelled by how it was produced.
Rule-based, not a black box
Scores list the named inputs behind them.
Conservative measurement
Impact needs a baseline and a minimum sample.
First-party data
Collected by your workspace’s own collector.
Signals arrive from everywhere your business runs.
The last 30 minutes are compared with the same time slot on each of the last seven days, across every tracked site and region. What follows is sample data: it shows the shape of what arrives, not a live feed of any real workspace.
New York
Compared against the same time slot on each of the last seven days. Confidence: high.
London
Tagged traffic surged inside a 30-minute window; tracking stayed healthy across the same sites.
Mumbai
A tracked keyword lost position the same week a monitored competitor's page changed.
- TrafficSessions up 62% vs same-slot baseline0s ago
- Campaignutm_campaign=spring surge, 30 min window4s ago
- ConversionSignup rate 41% below baseline8s ago
- TrackingNo events from /checkout for 60 min12s ago
Watch one signal become a measured action.
Every module runs the same loop underneath it. Here is a single example, start to finish: a mobile checkout drop, from the moment it arrives to the moment its fix is measured. Scroll to move through it.
-
01
Observe
What is happening?
Visitors, sessions, events and campaigns arrive from your own tracking, in real time.
See how analytics works -
02
Detect
What changed?
Mobile checkout conversion moves against its 7-day baseline, in the same window a monitored competitor's pricing page changes.
See competitor intelligence -
03
Understand
Where does it sit in the funnel?
The funnel puts the drop in context: it isn't traffic or tracking, it's concentrated at one step.
-
04
Evidence
Why should this be believed?
Not a chatbot: a finding states exactly what was compared. Mobile is the weak segment, not the whole funnel.
How the analyst layer works -
05
Act
What should we do next?
The finding is scored, ranked against everything else open, and sent to the Action Center with an owner.
See how dashboards work -
06
Measure
Did it work?
A baseline was captured before the fix shipped. Two weeks and a large-enough sample later, the result is compared, not assumed.
See how your business connects.
Every module writes into the same graph: your website, campaigns, revenue, competitors, keywords, sources and customers, all read relative to one business. Click a node for its evidence, or use List view for a text version.
Business Graph
- Observed change
- Competes with
- Flow
- Links to
- Surfaces opportunity
| Entity | Type | Related to | Relationship |
|---|---|---|---|
| Your business | Your Brand | Website | Observed change |
| Your business | Your Brand | Campaign | Observed change |
| Your business | Your Brand | Revenue | Observed change |
| Your business | Your Brand | Competitor | Competes with |
| Your business | Your Brand | Keyword | Observed change |
| Your business | Your Brand | Source | Observed change |
| Your business | Your Brand | Customer | Observed change |
| Campaign | Campaign | Customer | Flow |
| Keyword | Keyword | Website | Links to |
| Competitor | Competitor | Revenue | Competes with |
| Source | Source / citation | Opportunity | Surfaces opportunity |
| Customer | Entity | Opportunity | Flow |
Go deeper into any node on the graph above.
Know what competitors changed before it shows in your numbers.
Pages are captured on a schedule; pricing, offer, CTA and messaging changes are detected and scored by signal family, with confidence shown separately.
| Change | Type | Severity |
|---|---|---|
| Entry plan price lowered | PRICING | High |
| Headline rewritten | HEADINGS | Medium |
| New free-audit offer | OFFER | Medium |
SEO Intelligence
Crawl, rank issues by the revenue they touch, and find pages competing for one keyword.
Marketing Intelligence
A rubric-based health score and a ranked roadmap across tracking, SEO and conversion.
Attribution
Five models and a simulator on your own journeys, so you see how much the model decides.
Watch where the funnel actually loses people.
A sample funnel from landing page to purchase. Percentages are retention against the step before.
Cart → Checkout loses more of the funnel than any other step, and mobile sessions are 2.1× more likely to drop here than desktop. Impact estimates like this are labelled as scenarios, not forecasts.
Every finding lands here, ranked.
Opportunities are scored additively from named inputs, not asserted as one black-box number. Three examples, sample data.
- Evidence
- 18% below 7-day baseline, mobile only
- Severity
- Critical
- Confidence
- High
- Evidence
- High-intent pages, weak on-page signals
- Severity
- High
- Confidence
- Medium
- Evidence
- First-touch vs. last-touch disagree by 51pt on the same conversions
- Severity
- Medium
- Confidence
- Medium
How data gets in, today.
One system, fed from a few well-tested paths right now. More categories are planned, not promised.
Built around how your team measures growth.
Follow visitors from first campaign touch to signup and beyond, and see which channels bring people who stay.
Find the step where carts die, and compare how models credit channels on short, high-volume journeys.
Gate every launch behind a readiness check and keep tags consistent across fast-moving campaigns.
Separate workspaces, a common rubric, and reports you can share by link.
Lead scoring, an identity graph and multi-touch journeys for sales cycles that span months.
No customer logos. A methodology you can inspect instead.
We do not list names or results we cannot document, so there is nothing here to take on faith: the trust page lists exactly what each score is built from, what data it uses, and where its limits are.
Simple plans that scale with your team.
Starter
$29.00 Solo founders and small teams validating their first funnel.
Growth
$99.00 Marketing and growth teams running paid and organic channels together.
Scale
$299.00 Agencies and multi-brand teams that need competitor intelligence and unlimited workspaces.
Straight answers.
What does it actually do?
It collects first-party analytics from your site, monitors competitor pages, audits SEO and campaigns, and turns the findings into a ranked list of actions whose impact can be measured afterwards.
Is the analysis done by AI?
Findings, scores and priorities come from defined rules and thresholds, so they are repeatable and every score lists its inputs. There is no chat assistant today.
Do I need a data team?
No. One tracking snippet starts data collection, and audits work from a crawl of your site.
Where is the sample data on this page from?
Every product visual here is labelled as sample data. It shows the shape of the output, not customer results.
Start with what your own data says.
Install one snippet, run your first audit, and see a ranked list of what to fix first.
Free workspace. No card required.