Global scale, local depth
Tens of millions of consented users across markets, enabling category analysis from niche segments to broad category benchmarking — wherever your competitive set operates.
Product
How Deep Stream Data works.
Two layers. One integrated product. A global consented web-behaviour panel feeding a purpose-built AI intelligence engine.
Layer 1
The panel — opt-in, privacy-compliant, passively measured.
Deep Stream Data's foundation is a global opt-in panel of tens of millions of consented users. Every panelist is onboarded through a compliant consent flow, every page visit is captured passively, and every piece of data is anonymised before it reaches the intelligence layer.
Every device, every OS
Passive measurement on desktop, mobile and tablet across Windows, macOS, Linux, ChromeOS, iOS, and Android. Nothing is out of reach once a panelist consents.
Cross-site
Every URL a panelist visits is captured — your site, competitor sites, review aggregators, search, social, everywhere. No allow-list, no walled gardens.
Longitudinal tail
The long-tenure panel tail is large enough to reconstruct real multi-week decision journeys — about 14% of panelists stay active for a month or more, and 6% across a full quarter.
Privacy-first
Opt-in consent at every stage. GDPR and CCPA compliant onboarding. App-store compatible with Google, Apple, and Mozilla policies. Panelists can opt out or request deletion at any time.
Continuously refreshed
New panelists onboard every day; inactive ones are retired. The panel composition stays current as the population's behaviour and the web itself evolve.
Why the tenure distribution matters. Most syndicated panels force you to pick between scale and depth — a survey of 30,000 one-off respondents, or a deep meter panel of a few thousand. Deep Stream Data delivers both: the short-tenure majority gives you reach and cross-category breadth, while the long-tenure tail (month-plus active) is large enough to reconstruct real purchase journeys with statistical confidence.
Proof point · Australia panel · 2025
Real numbers, from one real market.
Rather than quote a round global headline, here's what a single month of the Deep Stream Data Australian panel actually looks like in 2025. That density in one country is what makes multi-week journey reconstruction work in practice.
318K+
Australian panelists in a month
8.2M+
Australian sessions / month
268M+
Australian pageviews / month
6%
Still active across a full quarter
Directly observed figures from the Deep Stream Data Australian panel, 2025. Numbers shown are for Australia only — we report country-level panel stats rather than extrapolated global totals. Customers license the market slices relevant to their competitive set.
Layer 2
The AI intelligence layer.
Raw web logs are powerful but unmanageable. Deep Stream Data's AI layer sits on top of the stream and turns it into answers a marketing or strategy team can act on.
What it does
- Intent classification. Every session is scored against intent signals — research, compare, buy, complain, advocate — in near real time.
- Journey clustering. Similar multi-session paths are grouped into cohort archetypes so you see patterns, not noise.
- Competitor overlap mapping. Which competitor sites are your customers visiting, and when in the journey?
- Emerging-pattern detection. Anomaly detection on the stream catches category shifts before they show up in sales data.
- Natural-language querying. Ask the data questions in English; get answers with evidence.
Ask Deep Stream Data
> Query
"Which competitor did we lose the most 25–34 metro female shoppers to last quarter, and what was the most common last touchpoint before they switched?"
↳ Deep Stream Data
Competitor B captured 34% of your defecting segment. The dominant last touchpoint before switch was a comparison blog review 4–6 days earlier, not the competitor site directly. SEO on review content is the leverage point.
Data flow
From consented click to boardroom insight.
1
Capture
Consented panel software passively logs every URL, device-local, with informed opt-in.
2
Stream
Anonymised events flow into secure cloud infrastructure in near real time.
3
Enrich
AI tags intent, clusters journeys, and joins to competitor and category taxonomies.
4
Answer
Dashboards and natural-language queries deliver decisions.
Outputs
What you can actually do with Deep Stream Data
Competitor share shift tracking
Track share of journey (not just share of traffic) across every competitor in your category. See who's taking your consideration set and who's losing theirs.
Full funnel attribution
Credit every step of the journey — the forum post two weeks before purchase, the comparison blog, the retargeting ad. Not just the last click before conversion.
Category expansion discovery
See what else your customers care about. The adjacent brands, the emerging categories, the unmet needs showing up in search before they show up in retail.
Content effectiveness audit
Which pieces of content — yours and your competitors' — actually moved people down the path? Behaviour-grounded content attribution.
Pricing & promo intelligence
Detect when competitors change pricing pages, run promotions, or adjust product mix — and see the behavioural response in the panel.
Custom cohort analysis
Build any audience — lapsed customers, high-intent researchers, multi-category shoppers — and trace their full behavioural history.
At a glance
Platform specs
| Attribute | Deep Stream Data |
|---|---|
| Panel scale | Tens of millions of opt-in panelists globally; 300K+ unique in a single month on an individual licensed slice |
| Data type | Direct passively-measured web logs (not modelled, not surveyed) |
| Devices covered | Desktop, mobile web, mobile app, tablet |
| Operating systems | Windows, macOS, Linux, ChromeOS, iOS, Android |
| Sites covered | Every URL the panelist visits — no allow-list |
| Temporal depth | Continuous; long-tenure cohort supports journey reconstruction across weeks and months |
| Consent model | Explicit opt-in at onboarding, revocable at any time |
| Privacy frameworks | GDPR compliant · CCPA compliant · Compatible with Google, Apple, and Mozilla app-store policies |
| AI layer | Integrated intent classification, journey clustering, NL query |
| Delivery | Dashboards, API, CSV/Parquet export, scheduled briefs, cloud-to-cloud data feeds |
| Refresh cadence | Near real-time stream; insights updated continuously |
See a live walkthrough on your category.
A 30-minute demo with a sample of real panel behaviour from your competitive set.
Book a demo →