Deep Stream Data
Deep Stream Data analyses customer journeys across a brand’s site, competitors and the wider web using an opt-in web-behaviour panel and an AI layer.
What Deep Stream Data is
Deep Stream Data analyses customer journeys across a brand’s site, competitors and the wider web using an opt-in web-behaviour panel and an AI layer. It clusters journeys, classifies intent, maps competitor overlap and identifies emerging patterns. Its attribution covers the customer path and supports counterfactual analysis based on observed panel behaviour. Users can ask questions in natural language and receive evidence-backed answers, with results available through dashboards, API access, CSV or Parquet exports, scheduled briefs and cloud-to-cloud data feeds. The web-log stream runs near real time, and insights are updated continuously. The maker describes the data as passively measured from consented panelists rather than survey responses or modelled traffic estimates. It says the panel covers desktop, mobile web, mobile apps and tablets across several operating systems. Data is described as aggregated and anonymised, with sensitive categories excluded or redacted. Pricing is on request; the maker offers a 30-minute demo.
Good
- Analyses observed journeys across sites and competitors
- Provides natural-language queries with evidence
- Offers dashboards, exports, API and scheduled briefs
- Supports ongoing updates from a near-real-time stream
Watch out
- Pricing is available on request
- Customers license market slices relevant to their competitive set
Who it suits
Deep Stream Data is intended for enterprise marketing or strategy teams seeking digital journey intelligence. It may suit brands that need to examine customer paths and competitor overlap across licensed market slices.
Verdict
Deep Stream Data combines journey analysis, attribution and multiple reporting options around consented web behaviour. Buyers should consider the licensed-slice coverage when assessing whether its data fits their needs.
The facts
Each one read from Deep Stream Data's own pages, with the date it was checked.
What it does
- Attribution
- The product attributes across the full journey and offers counterfactual analysis based on observed panel behaviour.checked 3 Oct 2026
- Coverage limitation
- On an individual licensed slice, the product page says 300K+ unique panelists may be measured in a single month.checked 2 Oct 2026
- Data handling
- The company says customer reporting is aggregated and anonymised, and that sensitive URL categories such as banking, health, and adult content are excluded or redacted.checked 3 Oct 2026
- Data source
- The company says it uses passively measured web logs from consented panelists rather than surveys or modelled traffic estimates.checked 3 Oct 2026
- Integrations
- The product page lists API and cloud-to-cloud data feeds as delivery options but does not name third-party product integrations.checked 3 Oct 2026
- Intended customers
- The maker describes the product as digital journey intelligence for enterprise and says it is intended for marketing or strategy teams.checked 3 Oct 2026
- Journey analysis
- Its AI features include intent classification, journey clustering, competitor overlap mapping, emerging-pattern detection, and natural-language queries.checked 3 Oct 2026
- Market coverage
- Customers license market slices relevant to their competitive set; the maker reports more than 318,000 Australian panelists in a month in its 2025 example.checked 3 Oct 2026
- Outputs
- The listed delivery options are dashboards, API, CSV/Parquet export, scheduled briefs, and cloud-to-cloud data feeds.checked 3 Oct 2026
- Panel size
- The maker says its global opt-in panel contains tens of millions of consented users.checked 2 Oct 2026
- Privacy
- The maker says panel participation is explicit opt-in and revocable, and describes its onboarding as GDPR and CCPA compliant.checked 3 Oct 2026
- Product
- Deep Stream Data combines an opt-in web-behaviour panel with an AI intelligence layer to analyse customer journeys across a brand’s site, competitors, and the wider web.checked 3 Oct 2026
- Queries
- Users can ask questions in natural language and receive answers with evidence.checked 2 Oct 2026
- Refresh
- The web-log stream runs near real time, with insights updated continuously.checked 2 Oct 2026
- Sales and demo
- The maker offers a 30-minute demo using sample panel behaviour from the prospect’s category.checked 2 Oct 2026
- Security
- The privacy policy lists encryption in transit and at rest, role-based access controls, audit logging, and periodic security reviews as safeguards.checked 3 Oct 2026
- Sensitive data limits
- Sensitive categories such as health specifics, protected financial detail, and government services are excluded from capture or redacted per policy.checked 2 Oct 2026
- Support and sales
- The maker offers a 30-minute demo with sample panel behaviour from a prospective customer’s category and lists email and telephone contact details.checked 3 Oct 2026
- What it does
- Deep Stream Data combines an opt-in web-behaviour panel with an AI layer to analyse customer journeys across a brand’s site, competitors, and the wider web.checked 2 Oct 2026
- Who it is for
- The maker describes the product as digital journey intelligence for enterprise teams and brands.checked 2 Oct 2026
The company
- Company
- Deep Stream Data is operated by Deep Stream (Australia) Pty Ltd, an independent Australian company focused on digital journey intelligence.checked 3 Oct 2026
- Headquarters
- Artarmon, New South Wales, Australiachecked 28 Sep 2026
Where it runs
- Device coverage
- The panel is described as covering desktop, mobile web, mobile apps, and tablets across Windows, macOS, Linux, ChromeOS, iOS, and Android.checked 3 Oct 2026
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