LeadRocks - Plus exclusive
"Don't build another B2B databaseâbuild a B2B data cleaner that actually works."
"Desperation for affordable B2B leads. Users hate paying $10k/year for ZoomInfo."
Data accuracy is expensive to maintain. Email verification APIs cost $0.01-$0.03 per email. Must price accordingly.
The 4-Dimension Scorecard
$323k revenue proves massive demand for affordable B2B contact data. Market exists.
4.51 rating with 363 reviews shows users tolerate it. High volume of complaints = opportunity to fix obvious flaws.
Credit-based model is sustainable. No unlimited AI/storage red flags. Database maintenance is the real cost.
Competitors are Lusha, ZoomInfo (expensive enterprise). Gap exists for affordable, accurate data.
The Opportunity Radar
Deep Review Mining & Gap Analysis
Pain & Gaps
"Users pulling 75k+ leads need automation, not manual export."
"Multiple complaints about 'bad emails'. Users want to filter only verified contacts."
"Can't filter by state/city properly. Critical for localized sales."
Niche Discovery
"User purchased 67k leads/month for client campaigns."
"Multiple reviews mention pulling 75k-100k leads, need API."
Marketing Angle
The only B2B contact tool with 95%+ email validity guaranteeâor your credits back.
Use this angle to position your product against the generic competitors. Focus on the specific pain points identified in the "Pain & Gaps" module.
The "Buggy Clone" Syndrome
- Outdated data (2019-2021), low email validity, imprecise searches, no API for bulk users.
Sniper Verdict
"Listen to the hate. Build the cure. Steal the revenue."
The Battle Plan
"LeadRocks has $323k demand but fails on data accuracy. Users are buying then immediately complaining about outdated emails and no API. Build a focused tool that does one thing: deliver verified, current B2B contacts with a validity guarantee."
MVP Build
- Real-time email verification (Integrate ZeroBounce/Kickbox)
- Simple API for bulk exports (Charge per 1k verified contacts)
- Location precision filters (State/City/ZIP)
MVP Drop
- LinkedIn scraping (Legally risky, low accuracy)
- 100M+ database claims (Focus on quality, not quantity)
- Complex CRM features (Stay focused on data accuracy)
