In a world drowning in scraped lists, unverified contact dumps, and low-quality intent signals, most brands know the truth:
Data doesn’t create ROI — permission-verified data does.
Today’s highest-performing acquisition engines rely on something far more valuable than raw volume:
trust + recency + verified user consent.
This is the backbone of Pumpfiat’s growth methodology, and in this case study, we break down how two brands — PaidHR and BeerMe — leveraged permission-verified data to unlock ROI levels they previously thought were unreachable.
What Is Permission-Verified Data (and Why It Outperforms Raw Lists)?
Most “B2B data” has three fatal flaws:
- No proof of opt-in
- No documented data lineage
- No behavioral intent signals
This leads to low deliverability, poor targeting, and wasted spend.
In contrast, permission-verified data includes:
- Clear user consent at the source
- Documented acquisition paths
- Segmentation based on declared or behavioral intent
- Quality filters (location, role, industry, buying timeline)
- Deliverability verification + audit trail
When brands use these data sources, three things happen:
- Costs drop — because campaigns no longer rely on brute-force sending.
- Conversions rise — because messaging aligns with real user intent.
- ROI compounds — because clean data fuels all downstream systems.
Now let’s look at how this played out with two very different brands.
1 Case Study #1 — PaidHR: Scaling Cross-Border Customer Growth
PaidHR
Global HR software platform expanding into new international markets.
The Challenge
They needed to reach HR leaders in multiple countries — but their internal list and cold channels were underperforming. Their data sources weren’t localized, opt-in status wasn’t verifiable, and campaigns kept failing deliverability checks.
The Strategy
Pumpfiat deployed a permission-verified data stack containing:
- First-party HR intent segments
- Country-specific opt-in pools
- Real-time verification and scoring
- Multi-step warm-up sequences
- Behavior-driven retargeting clusters
This allowed PaidHR to target only HR decision-makers who had opted into HR software, hiring tools, or remote workforce solutions.
“Pumpfiat drove over 80% of our cross-border customers. We scaled far beyond what we believed was possible at the start.”
— Lekan Omotosho, PaidHR
The Outcome
With permission-verified sourcing, PaidHR unlocked:
- 80%+ of total international customer acquisition
- Expanded reach across multiple new regions
- Higher deliverability and sender reputation
- Lower acquisition cost per HR-qualified lead
- Faster sales cycles due to accurate targeting
This is the compounding effect of data integrity.
2 Case Study #2 — BeerMe: Turning Local Intent Into Real-World Foot Traffic
BeerMe
Local brewery chain driving foot traffic to events and taprooms.
The Challenge
They didn’t need global B2B acquisition — they needed localized, event-driven foot traffic.
Their campaigns performed poorly because data vendors provided:
- Outdated location data
- No permission trail
- Irrelevant demographics
- No proof users cared about bar events
- No recency signals
The Strategy
We rebuilt their targeting using permission-verified consumer intent clusters.
We sourced users who had:
- Opted into nightlife, brewery, or local events content
- Verified geolocation data
- Recent engagement with bar-related offers
- Age and compliance verification
- High predicted event-attendance likelihood
Then we segmented them through:
- Staged warm-up sequences
- Recency filters
- Micro-intent categories
- Local radius targeting (5–15 km)
“We were skeptical, but the staged warm-up and segment filters produced real foot traffic to our events. Great for localized campaigns.”
— Tyler Neal, BeerMe
The Outcome
BeerMe achieved:
- Significant increases in in-person event attendance
- Reduced cost per event-attendee
- Higher relevance scoring across channels
- Better customer lifetime value from local repeat visitors
Again, verified permission + intent segmentation beat raw volume by a wide margin.
The ROI Formula Behind Both Brands’ Success
Across both B2B and B2C use cases, the highest-performing campaigns follow a simple formula:
Permission × Intent × Deliverability = ROI
1. Permission
Users who opt-in react differently:
- Higher open rates
- Better engagement
- Lower spam complaints
- Stable sender reputation
2. Intent
Target users based on:
- Actions
- Subscriptions
- Interests
- Behaviors
- Timelines
3. Deliverability
Clean, verified data ensures:
- Your emails land
- Your domain stays safe
- Your campaigns scale
When these three factors synchronize, outreach becomes a revenue engine instead of a cost center.
Why Permission-Verified Data Produces Massive ROI
For B2B brands (like PaidHR):
- Shorter sales cycles
- Lower CAC
- More enterprise opportunities
- Better pipeline predictability
For B2C/local brands (like BeerMe):
- Higher event ROI
- Improved retention
- Accurate local targeting
- Better ad platform performance
For all brands:
- Long-term sender reputation
- Compliance protection
- Sustainable growth
- Less wasted spend
Conclusion: The Future of Growth Belongs to Verified Data
Brands that rely on scraped, uncertified, rented, or unverifiable data sources will continue to see:
- declining engagement
- throttled deliverability
- rising acquisition costs
- unpredictable campaign results
Brands that adopt permission-verified data sources unlock:
- sustainable ROI
- predictable pipeline
- audience trust
- stronger brand equity
- consistent campaign performance
This is the future of compliant, scalable, high-performance acquisition —
and both PaidHR and BeerMe prove it.