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ZoomInfo on X

Talk about ZoomInfo splits nearly even: some praise its contact coverage and shipping pace, others treat it as a legacy seller losing ground to Clay, Apollo and per-contact data tools. Price and lock-in contracts draw the largest share of complaints.

First written 27 Oct · what changed · from 70 posts by 52 people

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First written 27 Oct. When what people say changes, it shows here.

Tone· 19 posts from 15 people· written 27 Oct

How do people feel about ZoomInfo?

7 people see ZoomInfo as a legacy data seller losing ground to newer GTM stacks, and 6 praise its data quality and shipping pace; the two are nearly even. A smaller 2 cite its published research.

Praise centres on the records and the pace. Users say coverage holds up "even in niche obscure industries", that its API can fill in company size, industry, revenue and funding for event sign-ups, and that Agent Teams went live on existing plans while rivals' agents were waitlisted or due later. One person who calls themselves a former "zoominfo hater" after a fight over an auto-renewal now says the team won them over.

The decline view is about the business more than the data: 7 people cite 89% net revenue retention, customers spending about 11% less each year, a $1.13 billion market cap against Clay's $7.1 billion, and GTM engineering job posts that name Clay far more often. One lists ZoomInfo with 6Sense and Demandbase as a legacy category leader in a playbook described as broken. 2 people quote its studies on buying committees and quota attainment as credible benchmarks.

  • Praises it9
  • Sees it as declining7
  • Cites its research3
See 5 of 19 posts

A lot of people don’t know what ZoomInfo shipping and at insane speeds for a public company You all need to check out link We’ve been building data infrastructure and consistently find zoominfo / link quality higher and it has better coverage even in niche obscure industries. Hats off to @HenryLSchuck Dennis Sevilla and my slack friend Hannah Telegen This isn’t paid for btw (though I wouldn’t mind affiliate commissions) I was a zoominfo hater I’ve been public about getting slammed with auto renew an arrogant AM/AE. Henry and the team shipped and won me over and that’s incredibly hard to pull off so now I am cheerleader Discolure Yes I own $GTM via public markets

Old school GTM is BROKEN. • Hire a bunch of reps • Get legacy category-leading tools (e.g. 6Sense, Demandbase, ZoomInfo) • Have sales and marketing work in silos The NEW-school GTM playbook is run by RevOps + GTM Engineers. Here's how the top teams are doing it: 1️⃣ ICP Analysis • Export Closed Won + Closed Lost from the CRM • Feed both into Claude Code to find the patterns • Build the ICP model on 3 layers: firmographics, account signals, technographics 2️⃣ TAM Map Map the entire market that fits the ICP: • Apollo(.)io's company database • Ocean(.)io for lookalikes companies • AI Ark for keyword search • Clay's database for extra companies 3️⃣ AI Account Research Enrich every account at scale: • Apollo(.)io for firmographics • Claygent + Claude for account-fit signals • Exa for deep web research • Sumble for technographics • Findymail for social signals 4️⃣ Tier + Score • Split accounts into Tier 1, 2, 3 • Score each one by awareness stage: • Identified → Aware → Interested → Considering → Selecting 5️⃣ Contact Sourcing Find and validate the buying committee: • Combination of Clay + AI Ark to source contacts • Findymail to find and verify emails • BetterContact for phone numbers 6️⃣ Demand Generation Only now do you turn on the channels, and all three run together on the same RevOps foundation: • Content: LinkedIn, X, Website • Outbound: LinkedIn, Calls, Email • Ads: LinkedIn, Meta, Google 7️⃣ Meeting Booked • Clay routes the lead to HubSpot • Cal(.)com books the call 8️⃣ Sales Process • Ergo for account intel before every call • Nooks for dialing • Apollo(.)io + HubSpot to run the pipeline • Qwilr for proposals • Claude as the copilot through all of it 9️⃣ Closed Won Every closed won account feeds the engine to find more lookalike companies. Bookmark this for your next GTM build.

ZoomInfo ($GTM) sells the database sales teams use to find who to call: names, job titles, emails, phone numbers. Its existing customers now spend about 11% less with it each year. That’s the number the whole company turns on. Here’s the machine. A subscription business starts each year with last year’s customers, and some cancel or cut back. ZoomInfo reports this as net revenue retention: 89% last quarter, down from 90%. For every $100 those customers spent a year ago, they now spend $89. So before it can grow at all, ZoomInfo has to win about $11 of new business for every $100 it already has. Last quarter its revenue grew 1.2% from a year earlier, to $310.4M. The bucket is leaking almost as fast as it’s being filled. And the leak has a name people fear: AI. If an AI tool can dig up a contact, fewer companies want to pay per seat to look one up. In May ZoomInfo cut its yearly forecast, cut about 600 jobs, and began moving customers from per-seat pricing to paying for the data they use. ZoomInfo’s own forecast now points down: it expects $298M to $301M of revenue this quarter, below last quarter’s $310.4M. Growing on paper last quarter, shrinking on its own numbers this one. So for any subscription company, find net revenue retention before the growth rate. Above 100%, existing customers grow the business on their own. Below it, new sales are refilling a leak, and the growth rate only tells you how fast they’re bailing. What it comes down to: does charging for the data customers use, instead of per seat, slow the leak or speed it up? Retention is the number that will answer it. We may hold positions in names we cover. Not advice. DYOR.

GTM Engineering : What’s going on here? Reddit: GTM Engineers are going extinct! GTMEs only do the plumbing Claude is killing @clay Claude is killing the GTME VCs: Tier 1 VCs have the most hiring a GTME @sequoia has the most of all VCs 100+ companies every month hiring GTME 74% of the jobs mention Clay Only 12% mention ZoomInfo 63% of those jobs mention Clay

Según ZoomInfo, los sectores regulados necesitan entre 7 y 12 aprobadores para una compra, software necesita bastantes menos. Si tu ciclo de venta en LATAM tiene 10 firmantes, ¿el problema real es el precio o el proceso de decisión?

5 of the 19 posts behind this answer, one per person. The other 14, and every new one as it’s posted, come with tracking. Get early access

Pain points· 21 posts from 19 people· written 27 Oct

What do people complain about with ZoomInfo?

9 people complain about price and lock-in, the largest group in the section: $600 a month, $15-30K a year seats and multi-year auto-renewing contracts are all named. Next come 6 people who say its lists are the same ones every other database sells.

Cost has the largest group behind it. Posters put the entry point at $600 a month and seats at $15-30K a year, describe contracts locked for one to three years that auto-renew at a 10% step up, and call the prices "hilarious" next to Lusha at $449 a month and Treg at $0.0089 a lead. One points out a pay-as-you-go option exists; another warns that Agent Teams' monthly AI credit budget defaults to unlimited and should be capped before finance caps it.

6 people say the data is a commodity: mass pulls mean "you're dialing the same list as every other agency", and companies pay several overlapping vendors for contacts that arrive cold. 3 object to being in the database at all and share opt-out prompts, while 2 describe records that are stale or incomplete, including someone still listed at a company they left ten months earlier.

  • High price and lock-in contracts9
  • Same lists as everyone else7
  • Sells personal data without consent3
  • Outdated or missing data2
See 5 of 21 posts

the lead gen industry is cooked zoominfo charges $600/mo. lusha charges $449. treg charges $0 in subscriptions and just $0.0089 per lead. the pricing-to-value ratio is actually insane.

AI was supposed to kill agencies. Then YC asked founders to build service companies where AI does most of the work. That's how we run @Frontal_AI. So every core tool we keep has to pass one test: Can Claude run it from one instruction? In 2021 you'd pay ZoomInfo $30K a year and still check half the data by hand. We replaced all of that with Clay. Copy our GTM stack, all 8 layers: 1/ Sourcing. Build one list per pain you solve, in Clay. → A title-and-industry filter says almost nothing about the buyer's problem. → We still check titles and accounts by eye in Sales Navigator. 2/ Enrichment. Find 2 to 3 people per company and run the email waterfall in Clay. → Keep each provider's result in its own column and pick one final email from them. → On Clay's Launch plan, upload the emails to MillionVerifier as a CSV. Running it inside Clay needs the Growth plan. 3/ Sending. We run 2 sequencers on purpose. Tier 1 goes to lemlist, email and LinkedIn in one sequence. Tier 2 goes to Instantly, email only. → Instantly pauses a campaign at 5% bounces by default. Set it to 2%. 4/ Signals. RB2B catches the site visit, PredictLeads the job post or funding round, UserGems the champion who just moved. → Each event goes on the account's row in Clay, with the date and a link to check it. → Keep the n8n workflow in between dumb, it just passes the event along. The scoring happens in Clay, where the whole team can read it. 5/ Ads. The same Tier 1 and 2 accounts go to LinkedIn as a company list. 6/ AI. Claude Code runs from each client's folder and reads their rules file first, so nobody re-explains a client. → One API key per person, with spend alerts. → We're rolling that out after my team burned $8,000 in AI credits on one task. An intern could've done it with a browser, and nobody noticed. 7/ RevOps. One reply stops every sequence for that lead, on every channel. → Positive replies post to one Slack channel, and a morning digest covers yesterday's replies, bounces and anything waiting on a person. → Claude suggests CRM updates in Slack. Someone on the team applies them. 8/ Delivery. One team runs all of it for many clients at once. → Every new client gets a copy of the same template folder, so their first campaign starts from what already worked. → Once a week we review every tool like it's a teammate. What did it actually do, where did someone copy and paste anyway, what broke without anyone seeing an error? Starting from zero? Clay, Prospeo, MillionVerifier, Instantly, HubSpot's free CRM and Claude Code. Add the rest later. Pick the layer your team still runs by hand and fix that one first. The settings are in the article.

if you're mass pulling from zoominfo or apollo, you're dialing the same list as every other agency. here's how to fix it: stop pulling by industry and headcount and instead pull by buying signals for example if you're selling fractional sdr work, pull companies hiring sdrs. they already WANT what you sell if you're selling marketing, pull companies already running ads. they believe in the power of marketing. you can enrich with tools like: clay builtwith sales nav google ads transparency center which will allow you to cross reference the data to make sure what you're calling about is RELEVANT to their situation. I swear to you the list decides what the call sounds like 99% of the time before you pick up the phone.

5 of the 21 posts behind this answer, one per person. The other 16, and every new one as it’s posted, come with tracking. Get early access

Alternatives· 35 posts from 26 people· written 27 Oct

What are the alternatives to ZoomInfo?

Apollo draws 6 people, level with the cheaper per-contact sellers at 6; Clay has 5 and the published rankings 4. Most swaps are argued on price, and the open question people raise is whether cheaper data is as fresh.

Apollo is weighed on lower price or data described as equal, and some posts lump the two databases together: "if you're using Apollo or Zoominfo for list building, you're not gonna make it". Others argue the contacts are the same and the edge is scoring and timing.

The per-contact camp names replacements for annual seats: a $27-30 a month plan, a rival pitched as 28x cheaper, Treg at $8.90 per 1,000 contacts, and waterfall stacks built from GetLeads, Blitz and Prospeo. One person who rebuilt their outbound lists ZoomInfo, Outreach and Zapier as the stack they dropped; another asks whether cheaper data stays fresh and says stale emails are where ZoomInfo "quietly wins".

Clay is the swap for data and enrichment, with one team replacing a $30K-a-year ZoomInfo bill with it, though another keeps ZoomInfo for call and document context. The ranking posts, most from one account, place it second to Apollo in sales intelligence and third behind Gong and Clari in conversation intelligence.

  • Rival rankings and launches10
  • Clay7
  • Apollo6
  • Cheaper per-contact data sellers6
  • Job posts naming it2
  • Treg2
See 5 of 35 posts

AI was supposed to kill agencies. Then YC asked founders to build service companies where AI does most of the work. That's how we run @Frontal_AI. So every core tool we keep has to pass one test: Can Claude run it from one instruction? In 2021 you'd pay ZoomInfo $30K a year and still check half the data by hand. We replaced all of that with Clay. Copy our GTM stack, all 8 layers: 1/ Sourcing. Build one list per pain you solve, in Clay. → A title-and-industry filter says almost nothing about the buyer's problem. → We still check titles and accounts by eye in Sales Navigator. 2/ Enrichment. Find 2 to 3 people per company and run the email waterfall in Clay. → Keep each provider's result in its own column and pick one final email from them. → On Clay's Launch plan, upload the emails to MillionVerifier as a CSV. Running it inside Clay needs the Growth plan. 3/ Sending. We run 2 sequencers on purpose. Tier 1 goes to lemlist, email and LinkedIn in one sequence. Tier 2 goes to Instantly, email only. → Instantly pauses a campaign at 5% bounces by default. Set it to 2%. 4/ Signals. RB2B catches the site visit, PredictLeads the job post or funding round, UserGems the champion who just moved. → Each event goes on the account's row in Clay, with the date and a link to check it. → Keep the n8n workflow in between dumb, it just passes the event along. The scoring happens in Clay, where the whole team can read it. 5/ Ads. The same Tier 1 and 2 accounts go to LinkedIn as a company list. 6/ AI. Claude Code runs from each client's folder and reads their rules file first, so nobody re-explains a client. → One API key per person, with spend alerts. → We're rolling that out after my team burned $8,000 in AI credits on one task. An intern could've done it with a browser, and nobody noticed. 7/ RevOps. One reply stops every sequence for that lead, on every channel. → Positive replies post to one Slack channel, and a morning digest covers yesterday's replies, bounces and anything waiting on a person. → Claude suggests CRM updates in Slack. Someone on the team applies them. 8/ Delivery. One team runs all of it for many clients at once. → Every new client gets a copy of the same template folder, so their first campaign starts from what already worked. → Once a week we review every tool like it's a teammate. What did it actually do, where did someone copy and paste anyway, what broke without anyone seeing an error? Starting from zero? Clay, Prospeo, MillionVerifier, Instantly, HubSpot's free CRM and Claude Code. Add the rest later. Pick the layer your team still runs by hand and fix that one first. The settings are in the article.

stop paying $15k a year for zoominfo seats you can build your whole tam map in claude code and pay per contact instead 1. have claude write your icp. industry, headcount, titles, tech stack, geo 2. pull every matching company and the decision makers from the getleads api 3. waterfall the emails. getleads first, then apollo, then leadmagic for anyone still missing 4. verify every email with million verifier. keep the ok ones, not catch all 5. find personal emails and mobiles for the top accounts so you can run customer match ads to them 6. write it all to one postgres table so your team queries one list, not 5 csvs 7. rerun weekly on a cron and add net new people and job changes getleads is a fraction of a cent per contact the seat model made sense when a human had to click export. claude doesn't need a seat get started for free - link

2024 outbound ran on ZoomInfo, Outreach and Zapier. Ours runs on none of them. Here's what replaced each one, job by job: Lead data 2024: ZoomInfo, Apollo Now: Prospeo, Blitz and GetLeads on every build, DiscoLike for company discovery Email finding 2024: Hunter Now: a waterfall. GetLeads, then Blitz, then Prospeo, then Findymail Verification 2024: NeverBounce Now: MillionVerifier on every address, LeadMagic on the catch-alls Inboxes 2024: Workspace seats on the company domain Now: generic domains from Porkbun, Google inboxes from ScaledMail Sequencing 2024: Outreach, Salesloft Now: Email Bison, one plain-text email per campaign LinkedIn 2024: Sales Navigator and PhantomBuster Now: our own LinkedIn tool on Unipile, HeyReach for older campaigns Replies 2024: an SDR in Gmail Now: an AI agent on Claude that answers, flags or closes every reply. Slack holds the few a person needs to see. Meetings 2024: Calendly, Gong Now: link Grain Automation 2024: Zapier and a spreadsheet Now: Claude Code routines on our servers, Supabase underneath The tools aren't the biggest shift. Who does the work is. In 2024 most of these jobs had a person attached. Now they run on timers and agents, and people take the exceptions. What I'd take from this: The stack doesn't sit still. Three rows changed in the last three weeks: Blitz joined on Oct 1, our own LinkedIn tool became the default on Oct 8, Porkbun took over domains on Oct 12. Test the swap before you make it. Blitz only got in after a head-to-head against Prospeo on six ICPs. The glue is code now. Zapier and a spreadsheet became routines we can read, test and fix. Which job in your stack still looks like 2024? -- We build and run AI-native outbound systems on a pay-per-qualified-meeting model. You only pay when a qualified meeting actually lands on your calendar. See if you qualify: link

5 of the 35 posts behind this answer, one per person. The other 30, and every new one as it’s posted, come with tracking. Get early access

Questions· 4 posts· written 27 Oct

What do people ask about ZoomInfo?

2 people ask how accurate and fresh its contacts are, and 2 ask plainly what ZoomInfo is or does; the two kinds of question are level.

The accuracy questions ask whether contacts are right and still in the job: one wants an error rate reported next to the speed of a data pull, and another asks how email accuracy and freshness compare with Apollo's. Both arrive as replies in threads about cheaper alternatives rather than as posts of their own.

The what-is-it questions come from outside the sales-tool conversation, one asking a chatbot to explain ZoomInfo and one a short line in another language. Nothing here asks about contracts, integrations or price: across 4 posts, the questions are about what it is and whether the data holds up.

  • How accurate is the data?2
  • What is ZoomInfo?2
See the 4 posts

Good that someone's testing this. The real question is how many of those contacts are right and still in the job. Would love to see the error rate next to the speed.

Wishes· 1 post· written 27 Oct

What do people want from ZoomInfo?

One person wants per-contact pricing in place of annual seats: pay for the contacts used, with no seat and no commitment.

The ask is specific: stop paying $15K a year for ZoomInfo seats and pay per contact instead. Their described route builds the TAM map in Claude code, pulls matching companies and decision-makers from the GetLeads API, waterfalls emails across GetLeads, Apollo and LeadMagic, verifies every address with MillionVerifier, and reruns weekly so new people and job changes land in one Postgres table.

It is the page's only wish post, filed under price and alternatives as well, so the section rests on 1 person.

  • Wants per-contact pricing1
See the post

stop paying $15k a year for zoominfo seats you can build your whole tam map in claude code and pay per contact instead 1. have claude write your icp. industry, headcount, titles, tech stack, geo 2. pull every matching company and the decision makers from the getleads api 3. waterfall the emails. getleads first, then apollo, then leadmagic for anyone still missing 4. verify every email with million verifier. keep the ok ones, not catch all 5. find personal emails and mobiles for the top accounts so you can run customer match ads to them 6. write it all to one postgres table so your team queries one list, not 5 csvs 7. rerun weekly on a cron and add net new people and job changes getleads is a fraction of a cent per contact the seat model made sense when a human had to click export. claude doesn't need a seat get started for free - link

In their words

How do people talk about ZoomInfo?

The phrases people use most, counted once per person.

  1. 1“per lead”4
  2. 2“pay per”3
  3. 3“per contact”2
  4. 4“seat per rep”2
  5. 5“list building”2
  6. 6“cold email”2
  7. 7“reply rates”2
  8. 8“remove my personal”2
  9. 9“tam map”2
  10. 10“sales intelligence”2

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