Real web logs, not surveys
A global opt-in panel passively captures real browsing behaviour — every URL, every session, every device. No recall bias. No self-reported maybes.
Opt-in · GDPR & CCPA compliant · Passive measurement across every device
The entire customer journey. Not just the last click.
Deep Stream Data fuses a global opt-in web-behaviour panel — tens of millions of consented users, passively measured across every major device and operating system — with an AI intelligence layer that sees every step, across every competitor, across weeks of real decision-making.
10M+Consented panelists globally
Every deviceDesktop, mobile, app, tablet
100%Cross-site visibility
WeeksFull journey depth
Watch
The whole platform. In one video.
A short overview of how Deep Stream Data reconstructs the full multi-week customer journey — across your site, your competitors, and the wider web.
The problem with today's data
Every analytics tool shows you a fragment. Deep Stream Data shows you the whole.
GA4 sees your own site. Similarweb models traffic. Survey panels ask people to remember. Nielsen measures media. None of them see the real, end-to-end journey that ends in a decision.
AI on top of the stream
The intelligence layer reads every signal — decodes intent, clusters journeys, and surfaces the patterns that matter before they become obvious.
Competitor journeys, not guesses
See the sites your customers visit before, during, and after yours. Understand where they came from, where they defected, and what tipped the decision.
How it works
Two layers. One unfair advantage.
① The panel
A privacy-compliant opt-in panel of tens of millions of consented users worldwide, passively measured across every major device and operating system — Windows, macOS, Linux, ChromeOS, iOS, and Android. Every page visit, every search, every click is logged through opt-in software that is fully compliant with GDPR, CCPA, and app-store platform policies.
- Cross-device: desktop, mobile, tablet, in-app
- Cross-site: every domain the panellist visits, not just yours
- Longitudinal: months of continuous behaviour from long-tenured panelists
- Privacy-safe: opt-in, anonymised, GDPR and CCPA compliant
Each dot represents a cohort of continuously-tracked opt-in panelists.
② The intelligence layer
Raw web logs are powerful, but they're also a firehose. Deep Stream Data's AI layer ingests the stream in near real-time, detects intent signals, clusters journeys into cohorts, and surfaces the moments that moved the needle — drivers of conversion, defection, and consideration shifts. It writes narrative competitor analyses, identifies inflection points, runs counterfactual scenarios, and alerts you the moment an emerging pattern starts to matter.
- Automated journey clustering and archetype detection
- Narrative competitor analysis with inflection-point ranking
- Counterfactual modelling on real behaviour, not media reach
- Attribution that credits the whole path, not the last click
- Natural-language querying — ask, don't filter
Week 1
google.com→
competitor-a.com→
reddit.com
Week 2
competitor-b.com→
review-site.com→
your-brand.com
Week 3
your-brand.com→
competitor-a.com→
your-brand.com/checkout
A real multi-week journey — surfaced automatically, not reconstructed.
Real panel data
Short journeys — and the ones that actually matter.
Most people you watch appear only briefly. But a large, statistically significant tail stays in the panel for weeks or months — which is exactly what you need to decode real purchase journeys.
| Tenure in the panel (90-day window) | Share of panelists |
|---|---|
| 1 day only | ≈ 41% |
| 2–7 days | ≈ 29% |
| 8–30 days (up to a month) | ≈ 16% |
| 31–60 days (one to two months) | ≈ 8% |
| 61–91 days (nearly the full quarter) | ≈ 6% |
Observed on the Deep Stream Data panel, Q2 2025. Millions of journeys — enough scale that even the longest-tenured cohorts produce statistically robust insight.
What this means for you. Short-tenure panelists let you measure category moments and reach. Long-tenure panelists — the 14% who stay for a month or more, and the 6% who stay for a full quarter — are how Deep Stream Data reconstructs real purchase decisions that unfold across weeks of behaviour.
A worked example · Australian panel, December 2025
Decoding the journey behind one retailer's week.
We ran one cross-site question against a single market — our Australian opt-in panel, for the pre-Christmas week of 15–21 December 2025: who visited a major consumer-electronics retailer, and where else had they been in the fortnight before?
6,113
Consented panelists who reached the retailer
90%
Also watched YouTube or TikTok in the 14 days prior
78%
Visited a direct competitor retailer
67%
Passed through Reddit or a consumer-review community
Top co-visited domains before the retailer visit
| Domain | Share of the 6,113 |
|---|---|
| google.com | 98% |
| youtube.com | 89% |
| reddit.com | 66% |
| amazon (marketplace) | 60% |
| facebook.com | 58% |
| direct competitor retailer | up to 34% |
Direct SQL against the Deep Stream Data Australian panel, 8–21 December 2025. No modelling, no survey — every figure is a count of real consented Australian panelists.
What this means
Four takeaways from one week.
- Video is the consideration channel, not the conversion channel. 9 in 10 pre-Christmas shoppers watched before they bought — review creators are under-credited in last-click attribution.
- Reddit is the shadow-funnel. Two in three shoppers passed through Reddit. It's invisible to GA4 and to survey panels, and fully visible to Deep Stream Data.
- Marketplaces compete for the same intent. Amazon touched 60% of these shoppers. Any retailer treating marketplaces as off-strategy is flying blind in holiday peak.
- Direct competitor overlap is the norm. 78% of shoppers visited a rival in the same fortnight. "Won the click" is a weaker signal than "won the comparison."
Every number above was produced by one natural-language question to Deep Stream Data — not a custom research project.
Why brands pick Deep Stream Data over Similarweb, GA4, GWI, and Nielsen.
Every legacy tool solves a slice. Deep Stream Data covers real behaviour, cross-site, with AI on top. See the full comparison.
See the comparison →
Common questions
What people ask about Deep Stream Data
What is Deep Stream Data?
Deep Stream Data is a digital journey intelligence platform. It combines a global opt-in, privacy-compliant web-behaviour panel — tens of millions of consented users passively measured across every major device and operating system — with an AI intelligence layer that analyses the full, multi-week customer journey across your site, competitor sites, and the wider web.
How is Deep Stream Data different from Google Analytics (GA4)?
GA4 only sees what happens on your own properties, and models attribution from a last-click perspective. Deep Stream Data sees the journey across every site a panelist visits — before, during, and after they touch your brand — and uses AI to attribute credit to the full path, not just the last click.
How is Deep Stream Data different from Similarweb?
Similarweb estimates traffic and competitor metrics from modelled data. Deep Stream Data uses direct, passively-measured web logs from an opt-in panel, which removes the modelling gap and enables real cross-site journey analysis rather than estimated traffic shares.
Is Deep Stream Data's data privacy-safe?
Yes. The underlying panel is opt-in and consented at every stage, data is anonymised, and onboarding is compliant with GDPR, CCPA, and app-store platform policies (Google, Apple, Mozilla). Panelists can opt out or request data deletion at any time.
How long do panelists stay in the data?
The tenure distribution is a power-law. About 41% of panelists in a quarter appear on only one day, while roughly 14% stay active for a month or more and about 6% remain active across nearly the full quarter. The long-tenure tail is large enough to reconstruct real, multi-week purchase journeys with statistical confidence.
Who is behind Deep Stream Data?
Deep Stream Data is built and operated by Deep Stream (Australia) Pty Ltd — an independent company focused on digital journey intelligence. We run the panel, the AI, and the customer relationships ourselves.