Contact-level precision targeting for ABM.
Target the individuals who matter most, not the noise. We resolve your target accounts to the people actively researching software through our properties, prioritised by intent, and hand them back ready for your ads, sequences and ABM plays.
Salesforce
HubSpotCSVUpload your target account list
Pull it from your CRM or drop in a domain list. Every account is matched against our 25M audience, in minutes, not weeks.
See who at each account is actually looking
Not the whole company. The people at it who read, compared or downloaded in your category in the last 90 days, with their role, their stage, and the vendors they weighed you against.
NetSuite vs 
Sage IntacctNetSuite
LinkedInaudience
Metaaudience
Googleaudience
Trade DeskaudienceHubSpotlistSalesforcelistActivate in your own channels
Hashed audiences to LinkedIn, Meta, Google and your DSP. Priority and suppression lists to your MAP and sequences. Refreshed monthly, so you see who crossed into market since last time.
Your ABM list is 2,000 accounts. The individuals who matter are a few hundred. You are paying to reach everyone.
- ✕Lookalike audiences built from modelled intent, not observed behaviour.
- ✕Account-level targeting that hits the whole company, not the four people deciding.
- ✕No way to tell which accounts moved this week.
- ✓Match report: coverage of your list by account, person and stage
- ✓Hashed audiences for LinkedIn, Meta, Google and DSPs
- ✓Priority and suppression lists for your own outbound
- ✓Stage movement on every refresh
- ✓Consent record on every matched person
- ✓Category benchmark: how your list compares to the market
Built on the NorthRadar data lake.
Account-level ABM reaches the whole company to find the four people deciding. Contact-level precision targeting starts with those four. Every individual we return was recorded actively researching software through our properties, resolved to one identity, and opted in there.
Seven properties. Every read, download, comparison and open.
NorthRadar data lakeNamed · consented · delivered to your CRM daily
- Multi-dimensional buyer dataBehavioural, firmographic, engagement and declared signals. Intent is one of them.
- Connected identity resolution25M audience size. Every read, download, comparison and open, resolved to one person across the journey.
- Consent on every recordProperty, timestamp and opt-in wording, on every lead we deliver.
Feed your models facts, not scores.
Who they are, where they work, what page they opened, which vendors they compared, and when. Your scoring model or sales agent reads it as is.
The opt-in is on the record, not in a folder somewhere. Score it, route it, trigger on it. Legal has already seen it.
In-market means the person compared two vendors, read an alternatives page or opened pricing. That is a fact. What they do next is your model's job. See the record →
When the data is yours, the program behaves differently.
Spend follows the individual
Budget goes to the people actively researching, not to every seat at every account on the list.
Outbound gets a queue
Reps work the priority list first, sorted by recency and stage.
Waste gets suppressed
Accounts with no activity are held back until they move.
Coverage is measured
You learn how much of your list we can see, before you spend.
Judged on the pipeline, not the deck.
Pipeline over ad spend, as reported by each client. These four programs returned between 4x and 9x their cost in pipeline.
4x pipeline over ad spend in recruiting software.
Read the case study →
Nine dollars of pipeline for every dollar spent, in six months.
Read the case study →
6x pipeline over ad spend in global payroll and EOR.
Read the case study →
8x pipeline over ad spend in work management.
Read the case study →
7x pipeline over ad spend in project management.
Read the case study →Vendors our readers compare every day
NetSuite
Salesforce
QuickBooks
Quickbase
Sage Intacct
HubSpot
Workday
Rippling
ServiceNow
Zendesk
Samsara
Ramp
Oracle
SAP
Microsoft Dynamics
Acumatica
Xero
Bill.com
Brex
Coupa
Tipalti
Expensify
Stampli
Chargebee
Stripe
Zuora
Pipedrive
Zoho
Outreach
Salesloft
Gong
Apollo
ZoomInfo
Clari
Highspot
Seismic
Gusto
ADP
Paylocity
Paycom
BambooHR
Deel
Lattice
Greenhouse
Lever
Workable
Personio
HiBob
UKG
Ceridian
Freshdesk
Jira
Intercom
Help Scout
Okta
CrowdStrike
SentinelOne
Datadog
PagerDuty
Splunk
Jamf
NinjaOne
Kaseya
SolarWinds
Motive
Geotab
Verizon Connect
Fleetio
Teletrac Navman
Lytx
Smartsheet
monday.com
ClickUp
Asana
Airtable
Notion
Slack
Zoom
DocuSign
Tableau
Looker
SnowflakeNetSuiteSalesforceQuickBooksQuickbaseSage IntacctHubSpotWorkdayRipplingServiceNowZendeskSamsaraRampOracleSAPMicrosoft DynamicsAcumaticaXeroBill.comBrexCoupaTipaltiExpensifyStampliChargebeeStripeZuoraPipedriveZohoOutreachSalesloftGongApolloZoomInfoClariHighspotSeismicGustoADPPaylocityPaycomBambooHRDeelLatticeGreenhouseLeverWorkablePersonioHiBobUKGCeridianFreshdeskJiraIntercomHelp ScoutOktaCrowdStrikeSentinelOneDatadogPagerDutySplunkJamfNinjaOneKaseyaSolarWindsMotiveGeotabVerizon ConnectFleetioTeletrac NavmanLytxSmartsheetmonday.comClickUpAsanaAirtableNotionSlackZoomDocuSignTableauLookerSnowflakeThe ones you were going to ask on the call.
How do we personalise to these individuals without the creepiness factor?
Target the individual, address the role. The audience is precise, the creative is helpful: a better answer to the question that person is researching, at the stage they are in. Never surface the evidence. Programs that reveal how much they know underperform; programs that use it to be useful outperform.
What do I upload for an ABM audience activation?
A domain list, a CRM export or an ICP spec with titles, company size, region and category. We match it against everyone active on our seven properties in the last 90 days and return a match report by account, person and stage before any activation runs.
What comes back, and in which formats?
Matched people with role, company and stage; hashed audiences formatted for LinkedIn, Meta, Google and your DSP; priority and suppression lists for outbound; and a stage-movement report on each refresh. Lists can also land in your MAP or CRM, mapped to your own fields.
How is in-market decided for a matched person?
Only from a recorded action on our pages: a comparison, an alternatives read or a pricing view. Newsletter opens, category reads and downloads mark someone as researching. We do not model likelihood, so the match report shows who moved and the event that moved them.
How is audience activation priced?
There is no public price list. It is priced per matched audience, refreshed monthly or quarterly, and depends on list size and category coverage. Send the list or the ICP spec and we return the match rate and a plan for the quarter.
How does consent work when you hand back an audience?
Every matched person opted in on one of our properties and the consent record travels with them. Ad-platform audiences are email-hashed. Outbound lists carry the property, timestamp and wording, so your team can show the basis for contact under GDPR, UK GDPR and CASL.
How does this compare to lookalike or intent-based ABM audiences?
Lookalikes model who resembles your buyers. Intent vendors return whole accounts by company name from third-party signals. We return the people at your target accounts who actually read, compared or downloaded in your category on pages we own, with the date it happened.
Compared with: vs Demandbase · vs Bombora
Also in buy the intelligence directly: Data-as-a-Service
Last updated
Your buyers are already on our pages.
Leave a work email for a demo, or send your category and ICP and we come back with a program plan, the properties it runs on, and the buying model that fits.
Built for procurement, not just for marketing.
Consent on every record. Nothing your legal team has to take on faith.
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