Connection

ID Linkage & Enrichment

Your customers move across apps, browsers and connected TV, leaving a different identifier in each. We resolve them into one enriched view you can recognize, reach and build on.

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Venn diagram with three overlapping red circles labeled IP address, MAID, and HEM.

Three identifiers. One identity. Every screen.

Dymos links real-world mobility across MAID, IP and HEM — resolving fragmented signals into one person you can reach on any screen. This is the connective layer: it turns the foundational mobility signal into addressable, activatable identity.

Built on real-world evidence

Broader addressable reach and reduced frequency waste across email and mobile channels.

Linked, not just collected

MAID, IP and HEM resolved into a single identity, so reach follows the person, not the device.

Ready to activate

Segments drop into your DSP, DMP or CDP, no preprocessing, no rebuilds, no waiting.

Cross-ID Mobility

How it works

We judge whether an IP is a device's home connection from three signals working together: how uniquely the IP ties to that device, how consistent its real-world observations are, and how regularly the two reconnect.

Density & exclusivity: how many devices share an IP, and how uniquely it ties to one.
Geographic consistency: whether a device's real-world observations hold together in one place.
Recurrence & stability: repeated connections over time are what make a link trustworthy.
Observed, not fixed: associations are day-level and refreshed, never a permanent mapping.

Venn diagram showing IP address, MAID, and HEM intersecting in Cross-ID Mobility for Bridge output segmentation.

One mechanic. Two ways to use it.

An IP, a hashed email, a device ID — on its own, each is just a key. Our edge is the same in every case: we enrich the identifier with mobility-linked behavioral evidence, so it stops being a key and becomes a customer you can read. That single mechanic shows up three ways — and almost no one else holds all the pieces to do it.

IP ⇔ Location

The IP & Location Loop: behavior, beyond geography

Standard data leaves you with a static dot on a map. We bridge IP ⇔ Location both ways, enriching residential IPs with observed device behavior. We go beyond geography to turn a simple connection into a readable audience.

Residential IP segmentation

Each residential IP inherits the visit and home patterns of the devices linked to it — a location becomes a behavioral segment you can target with intent (conquest, category affinity, trade-area), not broad postal-code spray. Where the evidence is strong enough.

POIs matched to IP addresses

By reading the residential IPs that recur at a venue — from captive or public Wi-Fi — a physical point of interest becomes an addressable IP: hyper-local activation, or a profiling signal for the devices seen there.

Reach where device IDs have gone dark

CTV, the open web, and any cookieless or MAID-less environment have always been the hardest to address. IP becomes the bridge — carrying mobile-grade behavioral signal into the channels that can’t see a device ID, turning previously unaddressable inventory into targetable reach. It drops in as a ready-to-use layer; no rebuilds.

Reach the screens device IDs can't and make the ones you already have mean something.

HEM ⇔ IP ⇔ MAID

Unifying HEM, IP & MAID: volume at the identity layer, enriched

A hashed email (HEM) is just a string without context. We connect HEMs directly to IPs and devices (MAID), linking first-party identity to real-world behavior. We bridge the gap between scale and relevance, adding meaning on top of volume at the identity layer.

Coverage at scale, honestly qualified

Large-scale associations linking hashed emails to devices and IPs, refreshed on a regular cadence. Every record is qualified — we separate connections that are live and addressable from those better used as evidence, so your match rate is never quietly padded with links you can’t act on.

Enriched, not just matched

A flat email file becomes a behavioral segment — match becomes understanding. Few competitors can link IDs to real behavior at scale

The same person, wherever you find them

Yout text hActivate across CRM, identity graphs and programmatic : one recognition that holds across every screen.ere...

Reach the customers behind your hashed emails and understand them, not just match them.

Put to work

What teams do with it

Whether the gap is between channels, between screens, or between data you hold and people you can reach, it comes down to one thing: connecting fragmented identifiers into one customer you can recognize and act on.

When the same customer shows up as a different ID on every channel, and you need to tie those identifiers back to one person.

When reach breaks between screens, you need recognition that follows the audience, not the device.

When your first-party profiles are rich but flat and you need real-world geographic and behavioral context to deepen them.

When your inventory can't see device IDs, and you need household-level reach to activate at all.

When you already hold hashed-email or IP inventory and you need a mobility-based behavioral layer to make it addressable.

Use cases

Identity Resolution in Action

Our technology solves critical identity and targeting challenges. Discover how and where Dymos delivers value:

Use case

Granular CTV & Inventory Valuation (Featured: Berlin Activation)

A CTV measurement provider could see the IP addresses it exposed ads on, but couldn't connect those IPs to the devices behind them. That gap left a hole in its core product: it couldn't prove whether the households it reached on connected TV actually went on to visit the campaign's target stores. It could report impressions, but not the outcomes its advertisers really wanted.

A working CTV campaign-measurement capability. Ad exposure on the household screen could finally be tied to real-world store visits, so the provider could show advertisers not just who saw a campaign, but whether it drove people through the door.

Use case

Household IP, extended to mobile

The team held rich household IP signal, a clear view of the home, but it stopped at the front door. It had no reliable way to connect that household to the individual devices behind it, so the phones, tablets and computers in the same home stayed disconnected from the living-room view. Without that link, measurement broke: the team couldn't follow exposure from the household screen to the devices people actually act on, and couldn't prove what a campaign did across screens.

An entirely new cross-screen measurement capability the team couldn't build before, exposure on the household screen could finally be connected to behavior on mobile and desktop, and frequency and outcomes could be understood across the home rather than one device at a time.

Use case

Hashed email, addressable on mobile - fast

A team held large first-party hashed-email audiences, the backbone of its customer relationships, but those audiences were effectively trapped in the CRM. They could be reached by email, yet the moment the customer left owned channels the connection broke. On mobile, where a growing share of attention and spend sits, those valuable audiences were simply unaddressable, and first-party data alone couldn't close the gap.

Live in under three weeks, with a meaningful lift in addressable reach on mobile, turning a static CRM asset into an audience the team could activate across screens.

Trusted by teams at

First-party data finally became fully addressable on mobile - the missing piece our customers had been asking for.

Identity Resolution Provider

VP Identity Products

US match rates were strong; EU and APAC were the gap. One integration closed both — and we started winning global deals we’d been losing.

Mid-Market DMP

Head of Identity Products

We had household IP data. We just couldn’t connect it to mobile. That one connection unlocked an entirely new measurement capability.

Smart TV Manufacturer

Director of Ad Tech

What we do

Three layers, one foundation.

Each works on its own, and they are strongest together.

Radar screen with red and gray dots displaying detected and tracked objects in a semicircle scan area.

Mobility Data, the foundational layer

Every audience is grounded in observed real-world visits, where people genuinely went, not demographic guesswork or fading cookies.

Explore Mobility data

City map with three red circular zones marked with burger, car, and dumbbell icons and white streets.

Audiences, the segmentation layer

Ready-to-activate audiences built on where people actually go, not demographic guesswork.

Explore Audiences

Ready to turn real-world movement into addressable segmentation?

Real-world evidence

Identity-resolved

Activation-ready

Already trusted by 200+ of the world’s leading enterprise customers across the advertising ecostsem

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