Seconds per domain
vs checking ad libraries manually
LinkedIn, Meta, and Google
covered
1,000+ teams
using ad activity to qualify accounts
"Ad volume carries strong weight, but it's all about context. Adyntel gives us that context—who's spending, where, and how consistently."
"After testing multiple qualification points (company size, marketing roles, website features), the #1 filter we've used to find high quality B2C/DTC brands has been qualifying for active Meta ads. Adyntel has been very accurate and gives us a lot of good data around brand's ad campaigns, their integration makes using their tool stupid easy in Clay."
"If you need to know whether your prospects are actively spending on ads to shape your GTM playbook, Adyntel delivers. Unlike other platforms, it gives you accurate, real-time data so you can reach out with confidence."
Perfect for
GTM engineers and RevOps
Add Adyntel as an HTTP enrichment in Clay or call the API directly. Store ad activity as custom CRM fields and build scoring logic on top of it.
Outbound agencies
Qualify prospect lists by ad activity before reaching out. Pull creative examples into your Clay table and use them in your outreach prompts directly.
Sales teams at martech companies
Companies running ads have marketing budget. Ad activity tells you which accounts are spending before you send the first email.
Ecommerce and DTC targeting
For ecommerce brands, employee count is a poor proxy for budget. A $50M DTC brand might have 15 employees. A brand running 40 Meta ads has proven marketing spend and someone accountable for growth. That makes ad activity a more stable qualifier than company size, Shopify tier, or any other common ecom signal.
Data platforms
Three endpoints with consistent JSON output. Embed ad intelligence into your product or enrichment workflow.
How teams use it
Trigger on signup
When a prospect signs up, call the API with their company domain. Store ad count, last active date, and primary format. Route them to different sequences based on whether they're running ads.
CRM custom fields
Store google_ad_count, linkedin_ad_count, last_active_date in Salesforce or HubSpot. Trigger workflows when values change.
Clay enrichment
Add Adyntel as an HTTP API enrichment. Map fields to columns. Build logic: ads.length > 10 → "active advertiser", last_seen within 7 days → "hot prospect".
Pipeline scoring
Batch your target account list through the API. Flag which companies are advertising. Use ad activity as a score so your team prioritizes accounts investing in growth.
Why ad activity is a qualification signal
Running ads means someone owns paid media and has budget behind it. A company with active campaigns across LinkedIn and Meta has a growth mandate and is spending to fulfill it.
That's a different type of account than one with no ad presence, even if firmographic data says they're the same size.
For ecommerce and DTC brands specifically, it's one of the only signals that holds up. Headcount, funding stage, and revenue estimates are unreliable at the brand level. A company running consistent paid campaigns across Meta and Google has proven marketing spend, which tells you more about their budget than any firmographic field.
For teams that sell to marketers or build products for marketing teams, ad activity is the clearest proxy for marketing budget available in public data. It tells you the company already invests in the category you're selling into. Standard enrichment tools don't have this.
For full creative audits or competitor tracking, see brand ad audits and research competitor ads.
FAQ
What data does each API call return?
How accurate is the data?
Does it work with Clay?
Which platforms are covered?
What counts as one credit?
Ad activity data across LinkedIn, Meta, and Google.
Three endpoints, structured JSON back for each platform.
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