CX & Martech Platforms

Ingest, enrich, and activate
external customer signals

Feed clean, structured, real-world signals into personalization, targeting, and activation workflows. Datastreamer delivers structured, enriched external data into your personalization logic, so your product can respond to what customers are actually seeing, saying, and doing in the wild.

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Common Use Cases

Maximum data signals,
minimal data overhead.

Turn external web and social data into signals your CX and Martech systems can act on.

Reviews → Personalization
Enriches recent reviews with demographic signals, intent markers, and sentiment into audience segments.
Social Posts → Campaign Trigger
Activates messaging flows using real-time brand mentions combined with location inference.
Search Trends → Suggestions
Feeds intent signals into dynamic recommendations, augmented with weather and influencer data.
Discussions → Audience Tweaks
Adjusts targeting and tone using online discussions, influencer content, and viral trends.
Existing Tools → Relevancy
Expands CDP systems by integrating new data sources and models via pipelines.
Blogs → Usage Ideas
Enriches campaign strategies by discovering novel product applications and uses.
Why Product and Engineering Teams Use Datastreamer

Built for teams that need more
than scrapers and scripts.

Ready-to-use components let complex multi-source data pipelines be assembled in minutes, fully managed and ready to deploy.

6 weeks
Reduced build time per new source or enrichment connection.
$285k
Average annual benefit per Datastreamer customer.
6,373
Average annual people hours of pipeline work saved.
80M
Average pieces of web content consumed monthly per pipeline.
7+
Average datasources or enrichments used per pipeline.
38,000+
Ready-to-deploy capabilities available in the Datastreamer registry.
85%
Reduction in new feature launch time. Engineering teams can rapidly deliver data pipelines for complex scenarios.
Data Pipelines for Martech Platforms

Assemble complex pipelines in minutes.

Ready-to-use components for multi-source ingestion, enrichment, and delivery.
Fully managed and instant to deploy, with low-latency, high-volume processing.
Deliver structured data to any activation system via webhook, databases, APIs, or message queues.
FAQ

Questions from CX
and Martech teams.

What data types can Datastreamer ingest?
Datastreamer accepts social platforms, review sites, forums, trend tools, and custom feeds, handling both structured and unstructured inputs.
Can we apply custom enrichment?
Yes. Datastreamer provides an extensive NLP model registry, supports LLM integration, and permits custom logic and system plugins.
How is segmentation logic handled?
You can define custom enrichment rules, apply taxonomies, and integrate your existing models.
How does it integrate with our CDP?
Datastreamer delivers structured data via webhook, databases, APIs, or message queues to any activation system.
How do you keep schemas consistent?
Sources are abstracted into common schemas, so downstream systems never manage structural drift or field mismatches.
Why use Datastreamer instead of building in-house?
Datastreamer offers faster market entry, eliminates ongoing maintenance, and reduces the risks of managing content ingestion.
How is it hosted?
It is a fully managed platform with no infrastructure to deploy. Datastreamer handles scaling, updates, and availability.
Get Started

Working with social or web data?

Talk to our team. We will help you design the pipeline that feeds clean, enriched signals into your personalization and activation workflows.

Schedule a Demo Read the Documentation →

Used by market-leading CX and Martech platforms. Supported by a dedicated success team.