Customer journey intelligence

Find the leak.
Get the fix.

NavSignal joins Search Console, GA4, keyword rankings, and a live crawl into one journey map. It names exactly where visitors fall out, then writes the change that wins them back.

navsignal.app / journeyhealth 58 · 2 critical
Journey shown with two critical and two leaking paths.

Click a node to read its brief · hit fix to remap the journey

Reads from

Ships to

No single tool sees the whole journey.

Search Console sees search. GA4 sees behavior. Rank trackers see position. A crawler sees structure. Each reads one slice, so the place where visitors leak out falls into the gap between them.

NavSignal joins all four at the URL level and draws the whole path, then names every break.

  • Search Consolehow pages surface in search
  • GA4what visitors do on the site
  • Keyword rankingswhere each page ranks
  • Live crawlhow the site is linked
correlate · 4 sources → 1 recordper URL

one node · every signal

Connect. Correlate. Act.

1
  • GSC
  • GA4
  • DataForSEO
  • Crawl4AI

Connect

Point NavSignal at Search Console and GA4. Keyword rankings and a live crawl attach on their own.

2

Correlate

Every URL becomes a node. Sessions, clicks, rankings, and links line up on one canvas.

3
Buried Page

2,600 sessions enter this guide and 0.4% ever reach a product or collection page.

Recovers

~1,900 sessions/mo routed toward conversion

Act

Each broken node carries a fix: the issue, the evidence, the exact change, and the sessions it wins back.

Every leak arrives with the fix written.

Not a score. Not a chart to interpret. Each flagged page carries the pattern, the evidence that caught it, the exact change, and the sessions it wins back. Select a node, read the brief, hand it to whoever owns the page.

/journal/how-to-pack-a-weekenderconf: high
Issue Patterns
Buried Page
Action Brief

2,600 sessions enter this guide and 0.4% ever reach a product or collection page.

2,600 GA4 sessions/mo, 92% arriving from organic search

11 internal links out, none pointing to products or collections

Average next-page depth of 1.2, so most visitors leave after one hop

Add a contextual CTA and three internal links to /products and /collections above the fold, then re-audit in two weeks to confirm the path opened.

~1,900 sessions/mo routed toward conversion

Data Sources
GSCGA4DataForSEOCrawl4AI
/collections/bestsellersconf: high
Issue Patterns
Orphan Page
Action Brief

Your best add-to-cart rate lives here, but only footer links point to it, so most visitors never reach it.

480 GA4 sessions/mo against the site's highest add-to-cart rate

2 internal links in, both from the footer

No links from /collections, /journal, or any product page

Link to /collections/bestsellers from the collections index and the top three journal posts, then re-audit to confirm sessions climb.

~150 more sessions/mo to a page that already converts

Data Sources
GSCGA4DataForSEOCrawl4AI
/journal/holiday-gift-guideconf: high
Issue Patterns
Keyword Cannibalization
Action Brief

This guide and /collections/gifts both rank for "holiday gift ideas," splitting authority so neither breaks the top five.

Both pages rank positions 6-9 for the same gift queries

280 combined clicks/mo against 14,000 impressions

Google alternates which of the two it shows week to week

Consolidate: make the journal guide the canonical target, point /collections/gifts at it, and merge the overlapping copy.

One page ranking top-3 instead of two stuck mid-page

Data Sources
GSCGA4DataForSEOCrawl4AI

Every journey breaks in one of five ways.

A pattern fires from whichever sources have data for that run, not from a fixed quorum. Each of the five patterns is tied to a specific source, so connecting more sources means more patterns can fire, not a higher bar any single pattern has to clear. A compound pattern is a leak, and it has a shape you can see on the map.

Issue pattern

Buried Page

High-traffic entry point with a poor internal path to conversion. Users land, then have nowhere to go.

On the map: A busy entry node with almost nothing flowing out of it.

Diagnose. Interrogate. Ship.

The agent does not stop at the finding. It writes the fix, defends it when you ask, and opens the pull request that lands it.

  1. 01

    Diagnose

    The model reads the correlated record for a URL and writes the brief: the pattern, the evidence that caught it, the exact change, and the sessions it recovers. Every audit, every flagged page.

  2. 02

    Interrogate

    Ask a follow-up and it answers against your data, not from general knowledge. Scope the question to one page, the whole map, or the workspace.

  3. 03

    Ship

    Approve a fix and the agent opens a pull request against your own connected repository. Preflight checks run first, the target allowlist means it can only ever write to your repo, and revert is one click.

navsignal.app / briefconf: high
Issue Patterns
Buried Page
Action Brief

2,600 sessions enter this guide and 0.4% ever reach a product or collection page.

Data Sources
GSCGA4DataForSEOCrawl4AI

the artifact the agent produces

Case study

Built against a live client site.

GOAT Home Services is a Whtnxt client. They rank, they get traffic, and I still could not tell you where that traffic was dying.

NavSignal found it in one pass: twenty-five city pages nothing on the site linked to, and a service page pulling visitors in with nowhere to send them. Each one came back with the evidence that caught it and the exact change to make.

The finding was not the valuable part. Being able to hand the brief to whoever owned the page was.

Edward Chalupa, Whtnxt

  • 25orphaned city pages
  • 1page draining engagement
  • 1buried page

NavSignal correlated the site's own Search Console, GA4, and keyword data against a live crawl. Not a synthetic dataset.

The half-day audit, done in five minutes.

Start with the free scan. The written fix comes with a workspace.

session recoveryfrom the demo fixture
~1,900sessions/mo rerouted toward conversion