FOR MARTECH PLATFORMS

Ingest, enrich, and activate external customer signals

Feed clean, structured, real-world signals into personalization, targeting, and activation workflows.

Maximum data signals, minimal data overhead

Customer experience and Martech platforms need to continuously ingest, normalize, and enrich high-volume data from reviews, forums, social platforms, and search trends.

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.

How Datastreamer supports CX and Martech platforms

Scraping, 3rd party APIs, feeds, and other data, all structured into a consistent schema you control.

Choose from hundreds of NLP (or custom logic) to enrich each piece of content before it enters your product.

Stream, filter, route, and deliver enriched data in real time or batch via S3, webhook, or database.

Spend less time on maintenance, breakage, and integrations; and more on modeling and features.

Built for teams that need more than scrapers & scripts

Ready-to-use components allow complex multi-source data pipelines to be assembled in minutes. Deployment happens instantly and is fully managed, allowing low-latency, high volume processing.

Common use cases

Reviews -> Personalization

Enrich recent reviews with demographic inference, intent, and sentiment signals into audience segments.

Social Posts -> Campaign Trigger

Use real-time topic or brand mentions, combined with location inference, to activate messaging flows.

Search Trends -> Suggestions

Feed intent signals into dynamic product recommendations. Augment further with weather and influencer signals.

Discussions -> Audience Tweaks

Use online discussions, influencer content, and viral trends to adjust targeting, offers, or tone.

Existing tools -> Relevancy

Expand existing CDP systems with data pipelines allowing integration of new data sources and models.

Blogs -> Usage Ideas

Enrich campaign strategies by discovering novel usages and applications of existing products.

Why product and engineering teams use Datastreamer

Enable your team to ship faster, de-risk launches, or free up engineering resources. Benefit from speed to market, reducing disruptions, and having more flexibility in your product.

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

Data pipelines for Martech platforms

Using Datastreamer, your engineering teams can rapidly deliver the data pipelines for complex use cases, reducing speed-to-launch of new features by 85%

FAQ’s

What types of data can I ingest into my pipelines?

Anything from social platforms, review sites, forums, trend tools, or your own feeds. Datastreamer handles structured and unstructured inputs.

Can I apply custom enrichment or taxonomies?

Yes. Datastreamer has a full registry of ready-to-use NLP models. You can also use LLMs in pipelines or plug in your own logic and systems.

Can we use our segmentation logic in Datastreamer?

Yes. You can define enrichment rules, use your taxonomies, or plug in existing models.

Does Datastreamer integrate with my CDP system?

Datastreamer can deliver structured data to whatever system you activate campaigns from, using: webhook, databases, APIs, or message queues.

How do you handle schema consistency across sources?

We abstract each source into a common schema, so your downstream systems don’t have to handle structural drift, missing fields, or format mismatches.

What makes Datastreamer better than building it in-house?

Faster time to market, no ongoing maintenance, and a much lower risk surface for managing content ingestion and normalization.

Is Datastreamer self-hosted or managed?

It’s fully managed. There is no infrastructure to deploy or maintain. We handle scaling, updates, and availability so your team can stay focused on building product.