=== CURRENT ARTICLE (slug: leadiq-vs-salesgenie) ===
LeadIQ vs Salesgenie: Which One Fits in 2026?
LeadIQ and Salesgenie show up in the same comparison searches, but they barely compete. One's a B2B SDR prospecting tool for capturing contacts from the browser and pushing them into your CRM or sales engagement tools like Outreach) or Salesloft. The other is a consumer and local business database built on homeownership data, new movers, and estimated household income. If you're comparing these two, there's a good chance neither is what you actually need.
30-Second Verdict
Pick LeadIQ if you're an SDR team doing outbound B2B prospecting and need one-click capture from professional profiles straight into Salesforce or HubSpot.
Pick Salesgenie if you're selling local services - home security, insurance, roofing - and need consumer attributes like homeownership, income, and household composition.
Skip both if you need verified B2B emails and mobile numbers at scale without credit gymnastics. Most B2B teams who landed on this comparison need a dedicated data platform, not either of these tools.
What These Tools Actually Are
LeadIQ is a B2B prospecting platform for SDRs. The core workflow: find a prospect in your browser, click, and sync their contact data into your CRM or engagement tool. It also tracks champion job changes and offers AI-powered account prospecting. Think of it as a capture-and-enrich layer on top of your existing sales stack (and many teams pair it with data enrichment to fill gaps).
Salesgenie - rebranded as Data Axle Genie after Infogroup became Data Axle in 2020, and now often listed as just "Genie" on their homepage - is a fundamentally different product. It's a consumer and local business database with 315M U.S. consumers and 15M U.S. businesses (plus 17.3M business contacts). The data skews heavily toward consumer attributes: age, estimated income, homeownership, new movers. It's built for local marketers and field sales teams, not B2B outbound.
Who Each Tool Is For
LeadIQ fits B2B SDRs and BDRs running outbound sequences, teams living in Outreach, Salesloft, or Salesforce daily, and mid-market orgs. G2 data backs this up: 60.1% of LeadIQ reviewers are mid-market companies. (If you're evaluating the broader category, start with our list of SDR tools.)
Salesgenie fits local service businesses (insurance, home services, real estate), consumer marketing teams building demographic lists, and small businesses. A striking 78.4% of Salesgenie's G2 reviewers are companies with fewer than 50 employees.
These audiences don't overlap. If you're prospecting VPs of Engineering at Series B SaaS companies, Salesgenie won't help. If you need 300,000 new movers weekly with household income data, LeadIQ doesn't do that.
Head-to-Head Comparison
| Dimension | LeadIQ | Salesgenie | Winner |
|---|---|---|---|
| G2 Rating | 4.2/5 (1,160 reviews) | 4.3/5 (314 reviews) | Salesgenie |
| Primary data | B2B contacts | Consumer + local biz | Depends on use case |
| Ease of use (G2) | 8.9 | 8.7 | LeadIQ |
| Ease of setup (G2) | 8.9 | 9.1 | Salesgenie |
| Ease of admin (G2) | 8.9 | 9.0 | Salesgenie |
| Meets requirements (G2) | 8.2 | 8.5 | Salesgenie |
| Support quality (G2) | 8.2 | 9.0 | Salesgenie |
| Key integrations | Salesforce, HubSpot, Outreach, Salesloft | Agentforce 360 Platform, DialedIn, Excel, Power Dialer | LeadIQ |
Salesgenie wins most G2 satisfaction metrics - especially support quality at 9.0 vs 8.2. But LeadIQ has deeper integrations with the tools B2B teams actually use daily.
Here's our honest read: Salesgenie's higher scores reflect a simpler product serving less demanding workflows, not a superior platform. A 4.3 rating from insurance agents pulling mover lists is a different beast than a 4.2 from SDRs running multi-touch sequences across five integrated tools.
7% of Salesgenie reviews are 1-star, which is unusually polarized for a 4.3-rated tool. When it works for your use case, people love it. When it doesn't, they're vocal.
If LeadIQ feels like a capture layer and Salesgenie is the wrong data, switch to a real B2B source. Prospeo gives 143M+ verified emails at 98% accuracy, refreshed every 7 days - built for outbound teams.
Build a clean list in minutes, not with credit math.
Pricing Breakdown
LeadIQ runs on a universal credit system where data types cost different amounts: 1 credit per email, 10 credits per phone number, 11 credits for both together. The free plan gives you 50 credits for one user. Pro starts at $200/mo, scaling with credit volume. Enterprise requires annual contracts.
Worked example: 500 emails + 100 phone numbers = 500 + 1,000 = 1,500 credits/month on LeadIQ. That adds up fast.
Salesgenie uses simpler tiers: $99/mo (Basic), $149/mo (Pro), and $299/mo (Team), often on annual contracts.
| LeadIQ | Salesgenie | Prospeo | |
|---|---|---|---|
| Entry price | Free (50 credits) | $99/mo (Basic) | Free (75 emails + 100 ext.) |
| Mid tier | $200/mo (Pro) | $149-$299/mo | ~$39/mo |
| Cost per email | 1 credit | Credits vary by plan | ~$0.01 |
| Mobiles | 10 credits each | Consumer & business phone data | 10 credits each |
| Contracts | Annual (Enterprise) | Often annual | None |
Salesgenie looks cheaper on paper, but you're paying for consumer data. If you need B2B verified emails, the per-unit economics aren't comparable (see our breakdown of sales prospecting databases for apples-to-apples comparisons).
Data Coverage
Salesgenie's genuine strength is consumer and local business data depth. They invest $20M+/year in data maintenance, run 24M calls/year to gather and verify information, and process 300,000 new movers weekly. For consumer attributes - homeownership, income, household composition - that's strong infrastructure.
The weakness: B2B decision-maker coverage. Having 15M U.S. businesses and 17.3M business contacts sounds decent until you realize that's not the same thing as verified emails for director+ titles at mid-market tech companies. That's just not Salesgenie's wheelhouse.
LeadIQ's strength is real-time B2B contact capture with CRM sync. The data is fresh because it's pulled at the moment of prospecting. The weakness: no consumer data, and phone number coverage can be inconsistent. At 10 credits per number, every miss stings. We've seen teams burn through monthly credits in a week when they're heavy on direct dials. One estimate puts the time cost of a bad phone number at around 120 seconds of wasted SDR effort - multiply that across hundreds of dials and the hidden cost gets ugly. (If you're building a calling motion, our guide to a cold calling system helps you avoid stack mistakes.)
What Users Complain About
On G2, Salesgenie's top negatives by mention count: inaccurate data (15 mentions), outdated contacts (13), filtering issues (11), and expensive for what you get (10). On Reddit, you get a paradox - one user in a door-knocking thread called Salesgenie's data "best in the industry... by far the most accurate" for homeowner targeting, then immediately added the app "isn't very intuitive." Strong consumer records, frustrating interface. That tracks.
LeadIQ complaints center on credit consumption and occasional data gaps outside North America. In our experience testing B2B data tools, the credit math on phone numbers frustrates power users more than anything else about the platform. The consensus on r/sales threads tends to be that LeadIQ works well as a capture layer but isn't a standalone data source. If you're trying to fix the root issue (bad addresses), start with email verification and then work backward to sourcing.
Final Decision Framework
Go with LeadIQ when your workflow is browser capture to CRM to engagement tool, and you're doing B2B outbound in North America (and you already have a solid lead generation workflow behind it).
Go with Salesgenie when you need local/consumer attributes - income, household composition, homeownership, new movers - for field sales or direct mail (see direct mail for lead generation if that's your channel).
Let's be real about the gap here: if you're a B2B team who stumbled into this comparison, neither tool is optimized for what you probably need. ZoomInfo solves it but runs $15-40k/year. Apollo is a solid mid-range option. For pure data accuracy at self-serve pricing, Prospeo delivers 143M+ verified emails at 98% accuracy and 125M+ verified mobiles, all on a 7-day refresh cycle - at roughly $0.01 per email with no contracts. Teams like Snyk saw bounce rates drop from 35-40% to under 5% after switching, with AE-sourced pipeline up 180%.
Need direct dials without wasting SDR hours on misses? Prospeo includes 125M+ verified mobiles with a 30% pickup rate, plus real-time verification and HubSpot/Salesforce enrichment - no contracts, self-serve.
Call decision-makers with numbers that actually connect.
FAQ
Are LeadIQ and Salesgenie actually competitors?
No. LeadIQ is a B2B SDR prospecting tool for capturing contacts into sales workflows like Outreach and Salesloft. Salesgenie is a consumer and local business database for demographic list building. You'd rarely evaluate both for the same use case - they serve different buyers entirely.
Which is cheaper for B2B outbound?
LeadIQ's free tier (50 credits) beats Salesgenie's $99/mo entry price for light use. But LeadIQ Pro runs $200/mo, and phone numbers cost 10 credits each, so costs scale fast. Prospeo offers 75 free emails/month with mid-tier plans around $39/mo - significantly cheaper for teams focused on verified B2B contact data.
Does Salesgenie work for B2B prospecting?
It covers 15M U.S. businesses and 17.3M business contacts, but it's not built for modern B2B outbound. No Outreach or Salesloft integrations are listed on G2, and it lacks browser-based capture or champion tracking. If you need verified emails for director+ titles at specific companies, you'll hit walls fast.
What's the best alternative if neither tool fits?
For B2B teams needing verified emails and direct dials at scale, look at platforms built specifically for outbound accuracy. The key things to evaluate: email verification rates, data freshness, integration depth with your sales stack, and whether you're locked into annual contracts before you've validated the data quality yourself.