Compare Trusted Data Providers

The time has come to redo the email data provider comparison. We have a list of 1,000+ positive responses in the past 3 months from one of our customers that runs across multiple industries that is perfect to use. We will use the full name + domain input or a linkedin profile input depending on the provider. If the provider allows both, we will use both. Each email we test will be a verified email (because we literally have a positive response from them). They are all work emails. The responses range from a ton of different industries and employee headcounts. Transparently, there are no enterprise accounts in the list. We will be testing Prospeo LeadMagic Findymail Datagma ContactOut People Data Labs Nimbler - B2B Contacts, AI-Powered Outbound Campaigns, and Contact Data Enrichment Dropcontact Icypeas Snov.io Hunter.io And maybe I can make a special request to the ZoomInfo team to get some enrichments pulled in. Who else should we be testing? ***Limitations of the test*** Last time we did this, the post went crazy and people critiqued the process. I'll admit the limitations now and be extremely transperant with our process. 1. the data is sourced originally from people data in Clay and then we use the Clay waterfall to find the data. 2. We will use responses that have been tagged manually as positive. The reason we do this is because then there's no way an SMTP validation service could screw this up. If an email data tool can't find the email of someone that has passed an email validation service previously AND they positively responded, I don't want it. 3. Some of these providers have features that include catch all verification. Every email we send at Growth Engine X is validated with Debounce before we send and we only send to Valids. The test will not include the catch all verification. 4. I could increase the sample size because technically we have 2500 leads to work with but they are over 3 months old and I don't want old data to skew the results. 5. All of the test data is from the United States, CEOs, at companies under 200. I understand this is a limitation of the test. The industries range from SaaS to laundromats. If you want data outside of the US, I believe 🤖 Jacob Tuwiner is working on that. 6. The results will be displayed by total emails found, total emails that match the email we got a positive response from, and cost per valid email found. Any other questions I can clear up before we run the analysis? Maybe I'll live stream it so everyone can see the full process. All APIs will be connected using Clay

Most outbound fails. Not because of your copy, but because of your data. If your list is off, your whole GTM strategy goes south. The biggest outbound unlock I’ve seen this year? 👀 Treat your data providers like part of your GTM stack. Here’s how we break it down at ColdIQ: Step 1️⃣ : 𝗟𝗶𝘀𝘁 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘁𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗧𝘆𝗽𝗲 𝗼𝗳 𝗗𝗮𝘁𝗮 For identifying high-fit accounts: 👉 Apollo → Huge database with infographic filters 👉 Ocean.io → Lookalike companies based on tech stack and positioning 👉 Amplemarket → Adds intent + engagement signals across channels Step 2️⃣ : 𝗥𝗼𝗹𝗲-𝗕𝗮𝘀𝗲𝗱 𝗣𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝗻𝗴 For pulling the right contacts inside target accounts: 👉 LinkedIn Sales Navigator → Gold standard for targeting by title/seniority 👉 Cognism → Strong for EMEA contact data 👉 ZoomInfo → Primarily US contact coverage with phone numbers, emails, and org charts Step 3️⃣ : 𝗜𝗻𝘁𝗲𝗻𝘁 & 𝗧𝗶𝗺𝗶𝗻𝗴 For making your message land at the right time: 👉 Bombora → True intent data (shows what topics companies are actively researching) 👉 Clearbit → Identifies anonymous site visitors and maps them to companies 👉 RB2B → Tracks buying signals like site visits, ad clicks, keyword triggers Step 4️⃣ : 𝗖𝗹𝗲𝗮𝗻 + 𝗘𝘅𝗽𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗟𝗶𝘀𝘁 For verifying and enriching before sending: 👉 FullEnrich → Enhancing existing databases with accurate emails and phone numbers via waterfall 👉 MillionVerifier → Deep email validation with 99%+ accuracy 👉 Dropcontact → Formats phone numbers and verifies email addresses Outbound isn't a writing problem anymore. 🧠 It’s all about your data strategy. Build smarter lists by 𝘀𝘁𝗮𝗰𝗸𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 like you would 𝘀𝘁𝗮𝗰𝗸 𝘆𝗼𝘂𝗿 𝗼𝘂𝘁𝗿𝗲𝗮𝗰𝗵 𝘁𝗼𝗼𝗹𝘀. Which providers do you trust for your ICP? Drop your go-to stack in the comments.

I've spent both personally and as a head of sales $XX,XXX's on email data tools   Here are my 7 best, and a honest review of them (I don't take any money from any of these!)   Every email finder tells you they're the best (and usually it's a bit of a porky 🐷)   Why? Because email providers saying they're the best could be:   ✅ The most accurate 🤔 Ok, but if all your contacts are 100% accurate, but you only spit out in 2 of every 100 people - then so what?   ✅ Have the most coverage 🤔 Ok, but if they're all guessed emails that make my bounce rate high - then so what?   ✅ Compare better against the big boys 🤔 Ok, but if you took a sample of hairdressers, and I don't sell into hairdressers - then so what?   I think you see my point here.   Here are my top 7:   🟣 Best Overall - Prospeo.io 🟣 Best for Accuracy (Enterprise) - Wiza 🟣 Best for Accuracy (SMB) - Datagma 🟣 Best for All in One Waterfall - BetterContact 🟣 Best for Mid-Market - Hunter.io 🟣 Best for the Finer Details - People Data Labs 🟣 Best for Budget - LeadMagic   What I've always found is a combination of providers is key - which is why we use Clay to enable us to organise these tools in the most cost effective & accurate way   Remember, this is just my experience. Us and our clients target orgs in the US, UK, EMEA & GCC mainly SMB - Mid Market.   What's been your favourite?   ________________   I'm Abbas, co-founder of The Playbook Agency We build and automate sales systems for SaaS, Web3, and Tech B2B