LFBBD (Lead for Business) vs Zintlr: The Only Honest Comparison
This comparison barely makes sense - and that's the most useful thing we can tell you upfront. LFBBD is a B2B company data vendor that delivers custom CSV/XLS lists on request. Zintlr is a self-serve SaaS platform with a Chrome extension. Comparing them is like comparing a catering company to a grocery store: same raw ingredients, completely different buying experience.
30-second verdict:
- Zintlr wins if you need a self-serve platform with on-demand lookups, a Chrome extension, and credit-based access for outbound workflows.
- LFBBD wins if you need bulk datasets (50K+ contacts) delivered as CSV/XLS for campaigns or enrichment projects.
Side-by-Side Feature Comparison
| LFBBD | Zintlr | Winner | |
|---|---|---|---|
| Database size | 500M+ professionals | 605M+ contacts | Zintlr |
| Pricing model | Per-dataset / custom quote | Subscription + credits | Zintlr (transparent) |
| Accuracy claim | 95%+ (97-99% elsewhere on their site) | 95%+ deliverability | Tie (both self-reported) |
| Data refresh | Monthly (some datasets every 15-30 days) | "Continually refreshed" | Zintlr |
| Delivery | CSV/XLS in 24-48 hrs | Self-serve platform | Zintlr (speed) |
| Review score | Trustpilot 4.3/5 (15 reviews) | G2 4.5/5 (39 reviews) | Zintlr |
| Compliance | CCPA, GDPR | GDPR, SOC 2, ISO 27001 | Zintlr |
| Best for | Bulk campaigns | SDR prospecting | - |
The numbers look similar on paper, but the experience of using these two tools couldn't be more different. Zintlr feels like a modern SaaS product - self-serve, packaged plans, security badges. LFBBD's advantage is singular and powerful: raw volume at aggressive bulk pricing.
Data Vendor vs SaaS Platform
Let's make this concrete with two scenarios.
Scenario 1: Your marketing team needs 50,000 eCommerce decision-maker emails in two weeks for a campaign launch. You contact LFBBD, describe your ICP, and get a custom CSV delivered within 24-48 hours. That's their sweet spot - bulk, campaign-ready lists with human support throughout the process.
Scenario 2: Your SDR needs contact details while prospecting on the fly. They open Zintlr's Chrome extension on a company website, look up the person, grab the info, and keep moving. No ticket. No wait.
One thing this comparison often misses: Zintlr has a dedicated India data suite covering 6.5M companies and 50M decision-makers, including businesses with no online footprint. If you're prospecting into the Indian market, Zintlr is one of the few platforms with meaningful depth there. They also offer personality insights (zPersonality) that help SDRs tailor outreach tone - G2 reviewers consistently highlight this as a standout feature.
LFBBD delivers custom lists. Zintlr lets you search and export on demand. Pick based on your workflow, not a feature matrix.
Pricing Breakdown
Zintlr's pricing page lists three tiers: Free ($0/mo, 15 phone + 15 email credits), Growth ($89/mo billed every 6 months, 600+600 credits), and Pro ($69/mo billed annually, 1,200+1,200 credits). Enterprise is custom. SoftwareAdvice still shows $49/mo Lite pricing, but that doesn't match Zintlr's current page - always check the source.
One warning: unused Zintlr credits expire and reset each month. If you're not prospecting consistently, you're paying for air.
LFBBD doesn't publish pricing on its site. Per Datarade, pricing starts from $100, with APIs and datasets ranging from $45 per 1,000 records to $14,999/year depending on scope.
Here's the cost-per-1,000-emails math that actually matters:
| Cost per 1,000 emails | |
|---|---|
| Zintlr (Growth) | ~$148 ($89 / 600 email credits) |
| LFBBD (bulk rate) | ~$45 per 1,000 at scale |
| Prospeo | $10 per 1,000 emails ($0.01/email) |
LFBBD's bulk pricing is dramatically cheaper per record, but the buying experience is entirely quote-driven. That pricing opacity is a red flag for SMBs who just want to test a small batch before committing.
Here's our take: if your average deal size is under $5K, neither tool's economics make sense. LFBBD is optimized for massive bulk orders, and Zintlr's credits burn fast. You need a self-serve platform with a real free tier and no expiring credits.
If you're building lists at scale, it also helps to understand lead enrichment and when to use data enrichment services vs buying raw datasets.
LFBBD charges $45/1K for bulk CSVs you wait 48 hours to receive. Zintlr charges $148/1K for credits that expire monthly. Prospeo gives you self-serve access to 300M+ profiles at $0.01/email - with 98% accuracy, a 7-day data refresh, and zero credit expiration.
Stop overpaying for data that decays before you use it.
Data Accuracy: Don't Trust the Marketing Pages
B2B contact data decays roughly 2.1% per month - about 22.5% annually. The average provider delivers around 50% accuracy. Both LFBBD and Zintlr claim 95%+, which would put them well above the industry norm.
Neither publishes independent audit results. LFBBD's own site can't decide if accuracy is 95% or 97-99% depending on which page you're reading. Zintlr's pages aren't consistent on database size either: you'll see 400M+ in homepage modules and 605M+ in the "Our Data" FAQ. We don't trust accuracy claims from providers who can't keep their own marketing pages aligned.
Before committing budget to either, run a 500-contact sample test. Track email bounce rate and connect rates yourself - that's the only accuracy benchmark that matters for your specific ICP.
What Users Actually Say
Zintlr gets a 4.5/5 on G2 across 39 reviews. Users praise the easy UI and personality insights for personalizing outreach. The consistent flags? Weak CRM integrations and inconsistent data quality on certain segments.
LFBBD gets a 4.3/5 on Trustpilot across 15 reviews. Praise centers on responsive support, quick delivery, and reasonable pricing for large volumes. The mild criticism: occasional irrelevant leads mixed into big orders. Capterra shows Zintlr at a perfect 5.0/5, but that's based on just 4 reviews - too small to mean anything.
Reddit discussion is thin for both tools. Neither has the community presence of an Apollo or ZoomInfo, which makes independent validation harder to find.
When Neither Tool Wins Your Bake-Off
Both tools leave a gap. LFBBD makes you wait 24-48 hours for a CSV and gives you no way to self-serve. Zintlr's monthly credits expire, CRM integrations are weak, and accuracy questions linger.
If you're evaluating alternatives, start with a broader list of sales prospecting databases and the core SDR tools most teams pair them with.
If you want self-serve, real-time email verification, and data you can actually trust, Prospeo fills that gap. It covers 300M+ profiles with 98% email accuracy and a 7-day data refresh cycle - not monthly windows, and not "continually refreshed" with no definition of what that means. There's a free tier with 75 emails per month plus 100 Chrome extension credits, no contracts, and no credit expiration. For teams that need verified emails and 125M+ direct dials without bulk-order overhead or expiring-credit anxiety, it's the obvious third option.
Neither LFBBD nor Zintlr publishes independent accuracy audits. Prospeo's 5-step verification with catch-all handling, spam-trap removal, and honeypot filtering delivers 98% email accuracy - backed by 15,000+ companies and bounce rates under 4% across real campaigns.
Run your own bake-off with 75 free verified emails today.
FAQ
Does Zintlr have a free plan?
Yes - $0/month with 15 phone and 15 email credits. That's enough to test the UI, not enough for real prospecting. Prospeo's free tier gives you 75 emails plus 100 Chrome extension credits monthly - five times the volume for actual campaign testing.
Can I get a sample dataset from LFBBD before buying?
LFBBD doesn't advertise free samples on its website. Contact their team directly and expect a 24-48 hour turnaround. Don't commit budget without testing a small batch against your ICP's bounce rates first.
Which tool has better email accuracy?
Neither publishes independent audit results, so their 95%+ claims are self-reported. Run a 500-contact test across both platforms and compare bounce rates yourself - that's the only metric that matters for your list criteria.