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Activate Audiences
Take resolved, enriched audiences from definition to destination — across every DSP, ad platform, and CRM — in minutes, not weeks.
trusted by global leaders
Today
The audience is built. Then it sits.
Nothing is worse than waiting for an engineering ticket, a custom integration, or a clean-room handshake while the window closes, the platform changes, and the segment goes stale. The cost isn’t the audience build, it’s the days between definition and delivery.
PRE-BUILT CONNECTORS
RESOLVED-PERSON AUDIENCES
NORMALIZED ONCE, ACTIVATED EVERYWHERE
BUILD WITHOUT THE WAIT
PRE-BUILT CONNECTORS
Every destination, ready on day one.
Connectors give you native, fully managed integrations to every major platform so activation is a configuration, not a custom build. Pick the destination, push the segment, and the rest is handled.

RESOLVED-PERSON AUDIENCES
The customer stays whole, even when the channels aren’t.
Identity Orchestrator turns fragmented signal into a resolved person so the audience you push to a DSP, a CRM, and CTV is the same audience, anchored to the same identity spine.

NORMALIZED ONCE, ACTIVATED EVERYWHERE
Audiences land in every destination speaking the language.
Normalize IDs and attributes the moment data enters your warehouse so every audience you build is already in the shape platforms expect. No per-destination ETL, no reformatting between build and send, no broken matches on the other end.

BUILD WITHOUT THE WAIT
Slice, dice, and push.
Build segments through a visual interface — no SQL, no ticket, no sprint queue — or ask Narrative’s AI assistant to do it for you. The marketer who defines the audience is the same person who pushes it and campaigns go live by EOD, not EOW.

“Partnering with Narrative.io has empowered us to seamlessly scale our offerings across diverse social platforms. Ultimately, this collaboration has been key to achieving our objective: engaging with our customers exactly where they are."
Dennis O'Donnell, Head of Ad Product
The Weather Company

“What I am looking for is a #RosettaStone. I don’t have the resources to pick through endless data sets and clean and harmonize them. I am calling it the great marketing emergency. We’ve got all this data, but we need #AI to stitch it together as a means to help our clients drive growth. We have the ability to have a fluid conversation with the consumer at the different points in their journey.”
Domenic Venuto, Chief Product & Data Officer
Horizon

“Traditional commerce media models often expose brands to unnecessary privacy risks by moving data into third-party environments. Our work with Narrative eliminates that risk while unlocking sophisticated audience-building capabilities that deliver real outcomes.”
Marni Schpario
Block

OTHER USE CASES
Activation works because everything else does.

CLASSIFY
Turn raw data into structured signal.
Normalize, label, and categorize data inside your warehouse — with ML, LLMs, and human feedback in one loop. Cleaner inputs make every downstream use case sharper.
harper.
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SECURELY COLLABORATE
Share data without ever shipping it.
Run collaboration in place — your data, your cloud, your governance. Make secure sharing the default, not the exception.
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BUILD MY OWN IDENTITY GRAPH
Own the spine your business runs on.
Configure match logic, swap providers on demand, pay only for net-new identities resolved. Your graph, deployed inside your cloud, under your control.
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ENRICH
Add the attributes that make targeting precise.
Augment first-party data with a marketplace of normalized providers and hundreds of mapped attributes — joined to your customer file in your cloud, ready to drive segmentation, targeting, and measurement.
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MONETIZE
Sell your data, keep your control.
Package, price, and license data on your terms. Buyers query it in place under your contracts and access rules with no bulk shipping, and no per-buyer custom prep.
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Resources
Insights, stories, & resources for the teams building modern data infrastructure.
Ask Us Anything
Straight answers to real customer questions.
Most teams are normalizing live data within days of connecting their first sources — not months. There's no multi-quarter implementation, no professional services dependency, no bespoke build required. You connect your sources, define what coherence looks like for your use case, and Narrative does the translation work. The timeline question is usually less about setup and more about how quickly your team can act on data that's finally consistent.
Those tools move data and act on it. They don't normalize it. They're built on the assumption that the data arriving is already clean, consistent, and semantically coherent — and in most real-world data partnerships, it isn't. Narrative is the layer that makes your existing collaboration and activation infrastructure work the way it was designed to. The teams getting the most from their data stack are typically the ones who've solved normalization first.
Most teams do, at first. The problem isn't the initial build — it's everything after. Every partner schema change breaks it. Every new data source requires rebuilding it. Every team transition means relearning it. The engineering debt compounds faster than the business value accrues. Narrative replaces a perpetual maintenance burden with infrastructure that's designed to absorb that complexity so your team doesn't have to.
Data and analytics teams at companies where external data is a core business input — not a supplement. Typically organizations that are buying data at scale, monetizing their own data assets, or running structured data partnerships with other companies. If your team is spending meaningful engineering time just making external data usable, that's the problem Narrative is built to eliminate.
AI models don't tolerate inconsistency. When a "user" in one dataset isn't recognized as the same "user" in another — different schemas, different taxonomies, different identifiers — your models train on noise and your outputs reflect it. Narrative normalizes data at the source so the AI layer above it is working with signal. Garbage in, garbage out isn't an AI problem. It's a normalization problem.
Your warehouse stores data. Your CDP activates it. Narrative normalizes it — resolving the semantic inconsistencies that make data from different sources incompatible before it ever reaches those tools. We don't replace your stack. We fix the layer underneath it that your stack assumes is already solved.








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