LeadArray

New on the LeadArray blog.

45% of people shopping auto insurance already own a home. Only 20% of them get a homeowners quote during that same shopping process — according to J.D. Power's 2026 study of 12,437 shoppers.

For a typical agency binding 60 auto policies a month, that's about fifteen homeowners you wrote auto for and never quoted. Every month.

The piece breaks down the math, and why adding a line to your intake script has never fixed it.

Link below 👇

45% of Your Auto Shoppers Own a Home. Only 20% Ever Get Quoted. — LeadArray Blog J.D. Power: 45% of auto shoppers own a home, only 20% get quoted. Why the auto-to-home cross-sell gap is a lead data problem, not a producer problem.

TCPA violations cost $500–$1,500 per call or text — uncapped, and the consumer doesn't have to prove any harm to collect. But here's what most teams get wrong: the violation isn't created when your rep dials. It's already sitting in your CRM as bad data — a wrong number, a DNC hit, a missing consent record.

New on the LeadArray blog: what a TCPA violation actually costs, where in your lead pipeline it gets introduced, and why the only real fix is screening leads before they ever reach a rep. 👇

What a TCPA Violation Actually Costs — and Where in Your Lead Pipeline It's Introduced — LeadArray Blog TCPA compliance starts before the call. See what a TCPA violation actually costs and where in your lead pipeline the risk is introduced — and how to stop it.

It's launch day — LeadArray is officially LIVE on Product Hunt! 🚀

If you've ever lost hours to messy lead lists or worried about compliance on your outbound, come check out what we built.

Clean, enriched, TCPA/DNC-compliant, ready-to-call contacts — no more spreadsheet scrubbing.

Upvote, comment, and share to help us climb the leaderboard today 👇

www.producthunt.com

Big day coming up — LeadArray goes live on ProductHunt on 7/15! 🚀

We built LeadArray to fix a specific problem: sales teams burning hours (and risking compliance headaches) on dirty, incomplete lead data.

It takes raw leads and returns clean, enriched, TCPA/DNC-compliant, ready-to-call contacts — so your team can actually sell instead of scrubbing spreadsheets and CRM contacts.

If you've ever wrestled with bad lead data, this one's for you. Upvote, drop a comment, and share it with your network on launch day. Link goes out that morning.

We ranked the 8 best lead enrichment tools for SMBs in 2026 — Clay, Apollo, ZoomInfo, Cognism, HubSpot Breeze, Lusha, Snov.io, and LeadArray.

The honest version, not the affiliate version: which tool needs an engineer to run it, which pricing models spike when volume does, and why "biggest database" is the wrong question if your leads are already flowing in broken.

Full ranking and comparison table — link below 👇

https://www.leadarray.ai/blog/best-lead-enrichment-tools-for-smbs-in-2026-ranked-compared

Best Lead Enrichment Tools for SMBs in 2026 (Ranked & Compared) — LeadArray Blog The 8 best lead enrichment tools for SMBs in 2026, ranked and compared — Clay, Apollo, ZoomInfo, Cognism, and more — by cost, effort, and data quality.

Your CRM is full of leads that look fine and aren't.

Full name. Phone number. Email. The record is populated, so a rep calls it — and the number's dead, and the name doesn't match.

Nobody did anything wrong. The lead gen captured the lead. The CRM stored it. The rep dialed it. The deal died anyway, in the gap between lead generation and sales that nobody actually owns.

I wrote about what falls through that gap — and what it takes to close it before a rep ever picks up the phone.

The Data Gap Between Lead Generation and Sales — And What LeadArray Does to Fill It — LeadArray Blog There's a data gap between lead generation and sales where pipeline dies. Here's what falls through it — and how LeadArray closes it before the CRM.

A team I talked to recently had their lead flow dialed in — leads routed cleanly, consent documented, everything landing in the CRM the way it should. And their reps were still burning hours on dead numbers.

That's the part the plumbing doesn't catch. A clean, compliant flow tells you a lead opted in. It doesn't tell you the number connects.

That's the real difference between LeadConduit and LeadArray. One moves the lead and documents it. The other checks whether the data holds up before it reaches a rep. Not rivals — different jobs in the same gap.

Full comparison below

LeadArray vs. LeadConduit: What Actually Sits Between Your Lead Sources and Your CRM — LeadArray Blog LeadArray vs LeadConduit: a fair, like-for-like look at routing and consent documentation vs. lead data quality — and why serious teams run both.

Blaming your AI sales tools for flat results? The problem usually isn’t the model — it’s the dirty lead data you’re feeding it. New on the LeadArray blog: why the AI performance gap is really a data problem, and the one fix that actually moves conversion. Read it here 👇

Your AI Sales Stack Isn’t Broken. Your Lead Data Is. — LeadArray Blog Your AI sales tools aren’t failing — your lead data is. Why the AI performance gap is a data problem, and how to fix it before scoring.

"We already have HubSpot lead scoring — why would we add another tool?"

It's the question I get most. And the answer isn't either/or.

HubSpot scores the leads in your CRM. But it can only score what's actually there — and incomplete, duplicated, or dead records get confident scores that send your reps chasing the wrong leads.

LeadArray sits upstream: it enriches, verifies, and deduplicates every lead before it reaches HubSpot. Same scoring engine, real data underneath it.

New post breaks down exactly where each one fits 👇

HubSpot Lead Scoring vs. LeadArray: What’s the Difference? — LeadArray Blog HubSpot lead scoring vs. LeadArray? It's not either/or. See how LeadArray feeds HubSpot enriched, verified, deduplicated data so your scores are reliable.

If you run your sales team on GoHighLevel, here's what the pipeline looks like when LeadArray works upstream of it.

* Every lead is deduplicated before delivery — so the same person from two different lead sources doesn't create two pipeline entries.

* Your existing GHL contacts upload to a suppression list, so existing customers and active opportunities never slip through as "new" leads, historically or going forward.

* The leads that do arrive are verified, enriched, and AI-scored for ICP fit.

* That score travels into GHL as a native field, giving GHL's engagement scoring a fit signal to work alongside. And each lead comes with AI-generated outreach templates already in the record — recommended channel, first message written, follow-ups ready.

* The rep opens a lead and the first message is already done.

The only thing left is the conversation.
We wrote up how the whole combination fits together — worth a read if GHL is the center of your stack.

Does GoHighLevel Have Lead Enrichment? What GHL Users Are Missing — LeadArray Blog See what GHL becomes with LeadArray upstream — deduplication, suppression, AI scoring, and rep-ready outreach templates delivered natively into your pipelines.