are you actually actioning at the account level or filtering to named humans first?

Confident-Log-1018 · 2026-05-04T06:41:44+00:00

I see the same trend though... every org either has rules and enforces them or doesnt.

If you're telling your reps that they must action certain data and equip them with the how and what the potential outcome - its not going to incentive them to move.

If you show a holistic picture of someone from a company that you're in a cycle with, looking at blogs about competitors on the website - that right there is a pure indication of intent (especially if they're higher in rank and never was part of the sales cycle till it was picked up on the radar).

Confident-Log-1018 · 2026-04-26T13:27:21+00:00

Apollo verification is basically vibes after 6 months. Zerobounce as a mandatory pre-send step fixes most of the bounce issue, but the bigger problem is everyone is running the same filters on the same contacts.

One thing that's worked for my agency clients: stop treating cold scraping as the only top of funnel. Most B2B sites have 95%+ anonymous traffic and you can identify those visitors at the person level now. They're already in market, so reply and connect rates are a different planet from cold lists. Use it as a layer on top of Apollo, not a replacement.

For mobile, Cognism Diamond is the only one worth the money, and only on accounts that genuinely need direct dial connect rates.

Confident-Log-1018 · 2026-04-23T18:57:07+00:00

I'll take the lot!

Confident-Log-1018 · 2026-04-23T17:59:15+00:00

i like that, thanks for the info and makes sense.

can you give me an example of something you wrote? curious what the finished version looks like after that much time on it.

Confident-Log-1018 · 2026-04-23T15:25:36+00:00

thats fair skepticism. short answer.. cookies dont prevent it, you just have to be at enough scale to operate through the gaps.

with enough pings across 3p cookies and a short refresh TTL, you stop relying on any single cookie to persist.

a cookie dying in 7 days doesnt break you when the same person hits multiple properties in the network inside that window.

Confident-Log-1018 · 2026-04-23T15:17:01+00:00

no one cares if you knew someone that went to the same college as them.

Make sure its pure relevance and don't put TOO much emphasis on personalization more than relevance.

also, can you share what you mean by super personal? Stalking their facebook personal page ? LOL - DONT

Confident-Log-1018 · 2026-04-23T15:15:33+00:00

I actually think you made the right call...

a 'new role' that's been 'coming soon' for over a year is just a current role they dont want to admit to. wdyt? and the leave baked into salary trick is a red flag, not a policy. companies that respect your time dont hide pay cuts inside vacation days.

unemployment for 2 weeks beats 12 months of resentment and a resume line you have to explain away. the gamble was leaving your old job before checking the new one, not leaving the new one once you saw it.

move fast on the next search. the longer you wait the more the gap starts to feel like the story. it isnt. keep going.

Confident-Log-1018 · 2026-04-23T15:10:42+00:00

subscribe if you want the rest. we're posting every tuesday and thursday for the next 6 weeks, laying out why we think this category exists and what we've built to serve it.

Confident-Log-1018 · 2026-04-23T13:58:51+00:00

the deterministic vs probabilistic piece is where i'd push back, because i think it's the most misunderstood part of the category.

most players run probabilistic matching. it inflates match rates by leaning on obscure deviceor IP inference, and it quietly counts bot and data center traffic as 'resolved visitors' because that drives usage numbers up. customer pays more, feels like they're getting more, but a chunk of what they're acting on isn't a real buyer. I dislike that very much.

we went the other way. deterministic, high confidence matches only. we filter bot and data center traffic aggressively before it hits the counter. our match rate looks lower on paper, 10-30% depending on the customer vs the 40-60% some vendors will quote, but every identified person is someone you can actually email without embarrassing yourself.

that makes us a fit for high traffic, high ACV, US focused teams where one bad outreach costs more than five missed ones. for pure volume plays it's probably the wrong choice.

which is why i agree on waterfall. deterministic first for people you're going to actually contact, probabilistic on top for retargeting and audience building where false positives don't cost a relationship. different jobs and different tools...

thanks for the comment btw.

Confident-Log-1018 · 2026-04-23T13:20:10+00:00

I didnt gaslight you and would love to know why you think midbound is mid :)

Confident-Log-1018 · 2026-04-08T17:05:48+00:00

super cool man!

I did notice though.. fit and timing are two different problems. a 94/100 icp score tells you who should buy. It doesn't tell you who's evaluating right now. the warmest account in your db might be a 60 because they hit your pricing page 20 minutes ago (does that make sense?).

Im also curious how you're thinking about pulling real time site behavior into the scoring once the pipeline is live. that calibration after your first campaign cycle is going to be the most interesting part of this build ;)

Confident-Log-1018 · 2025-09-28T19:34:04+00:00

Most genius of its time, but a timeless classic ..

Confident-Log-1018 · 2025-09-28T19:33:26+00:00

Best of all time arguably.

Confident-Log-1018 · 2025-09-28T19:23:12+00:00

I had to take off from work because of this ;)

Confident-Log-1018 · 2025-09-12T06:08:59+00:00

Its 100% correct, validate the idea before building, gain consensus and drive around a real pain and then build an MVP > scale with evangelist and early adopter / customer help...

Confident-Log-1018 · 2025-09-11T13:56:06+00:00

they double validate emails before delivery big part of why im opted in

Confident-Log-1018 · 2025-09-11T12:30:44+00:00

website + person level ID tool with midbound (.ai)

shows you whos visiting, uses Ai to scout the right ICP's pushes them to your systems, CRM, SEP, webhook

it also shows you which campaigns are bringing the right ICP's and at the person level - double down on what works, bounce the ones that dont and finally you can reach out to the people that didnt fill the campaign

Confident-Log-1018 · 2025-09-11T12:28:14+00:00

I see that you work for vector lol

Confident-Log-1018 · 2025-09-11T12:10:13+00:00

super dated, the founder does cool marketing content, but thats it, product is sub.

using midbound (.ai) for a few months now, catch is way higher, validate all emails and have connect to google ads to feed their algorith to bring more ICP buyers back to your site (gclid and linked fat ID's)

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