Primer vs. Influ2

Reach real buyers across Meta, Google, LinkedIn (and more). Primer delivers higher match rates, full transparency in your ad accounts, and a built‑in B2B database. Influ2 can work for tiny, high‑value ABM lists — but it doesn’t scale cost‑effectively and requires you to bring your own contacts.
Match-rate edge
No $5/contact tax
5‑min setup
Trusted by high‑growth B2B teams
ChartHop bold white logoSnorkel uncolored logo | Growth marketers powered by Primer
Where it matters
Primer
Metadata.io
Why it matters
Match rates on B2C channels
Primer
65–75% typical
Metadata.io
50–58% typical
Why it matters
More buyers reached for same spend
Predictive visibility
Primer
Pre-sync estimator
Metadata.io
None
Why it matters
Avoid budget burn
Control & transparency
Primer
Build in Primer, launch native
Metadata.io
Runs in Metadata UI
Why it matters
Keep every lever
Measurement built for lift
Primer
Lift tests & incremental ROAS built in
Metadata.io
Click-based attribution
Why it matters
Finance wants revenue proof
Speed to value
Primer
Live <5 min; trial starts on sync
Metadata.io
6–8 week onboarding
Why it matters
Test this week, not next quarter
Pricing model
Primer
Flat subscription, no % spend
Metadata.io
Platform fee + 2–5% spend
Why it matters
No hidden growth tax
Google activation
Primer
Customer Match – more powerful audiences
Metadata.io
GA retargeting only
Why it matters
Reach known contacts who never hit your site
Emerging channels
Primer
Reddit & TikTok (beta)
Metadata.io
Not supported
Why it matters
Early-mover CPM advantage
Where it matters
Primer
Influ2
Why it matters
Match rates on B2C channels
45–65% on Meta in US/CA
Customers report ~20%
Higher match = more of your ICP actually sees ads.
Audience sourcing (net-new)
Built-in B2B database (~268M people / 16M companies)
No prospecting DB; bring your own lists/CRM segments
You likely don't have a contact list of your addressable market
Transparency & control
Audiences run in your ad accounts
Runs ads from Influ2’s accounts, limiting visibility
Verify delivery, spend, and brand safety
Google activation
Customer Match unlocks Search/YouTube/Display
Unclear whether Customer Match is used
Enables plays like anti-ICP suppression in Search
ABM SDR alignment
Focus on audience performance + lift
Strong contact-level engagement info for SDRs
Sales needs signals to time outreach
Measurement & proof
Holdout/incrementality to quantify lift across channels
Meta, legally, cannot expose individual level impressions
You need statistical, trustworthy ways to measure
Pricing & scale
Tiered, transparent, spend-based pricing
$5 per contact; expensive for broad TAM
Cost model must fit your TAM and ACVs
Case-study & channel transparency
Shares channel-specific plays and guidance
Case studies rarely specify channels/campaign types
You should know which channels drive results

Who’s a Good Fit

Metrics that matter

2–3× match rate
more qualified reach per dollar
Lift tests on by default
Quantify incremental ROAS
<5  min
Signup → first sync

What You Get on Day 1

Draft audiences free forever
Predictive match‑rate estimator
Automatic built-in lift test
Native campaign control in every ad manager
Primer powers todays top GTM teams
Chris Nguyen from Air | Testimonial avatar image
Chris Nguyen
Head of Growth Marketing, Air
Primer really helped us unlock performance marketing. Once we started using it, our CPL decreased by 55% and our MQLs increased by 34%. It was just night and day.
Read the case studies
Chris Nguyen from Air | Testimonial avatar image
Chris Nguyen
Head of Growth Marketing, Air
Chris Cruz
Senior Director of Demand Generation and Digital Marketing, Zylo
We pivoted to a new vertical in five minutes. We cloned an existing audience, filtered by vertical, and instantly had a campaign-ready list of 75,000 decision-makers."
Read the case studies
Ben Pollack from ChartHop | Testimonial avatar image
Ben Pollack
Head of Growth Marketing, ChartHop
Colin Kim
Performance Marketing, Zip
"Finding quality leads aligned with our ICP has always been a challenge — Primer’s recent improvements have unlocked significant performance efficiency improvements, as well as scale."
Read the case studies
Adam Daigian from Vouch | Testimonial avatar image
Adam Daigian
Head of Growth & Revenue Operations, Vouch
Sutton Ryan
Demand Generation Manager, Stampli
“People are actually mentioning our ads in sales conversations. That’s exactly what we wanted.”
Read the case studies
Isaac Ware
Director of Demand Generation, UserGems

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