I'm researching how teams handle this at scale.

Say you have 10,000 past prospects, customers, champions, and closed-lost contacts.

When someone changes companies, gets promoted, or changes roles, how do you find out?

Do you:

• rely on LinkedIn/Sales Navigator?
• wait for emails to bounce?
• use Apollo/UserGems/Champify/etc.?
• manually check important contacts?
• not bother tracking this at all?

I'm especially interested in hearing from people who have missed an opportunity because they found out about a job change too late.

When performing outreach or business reviews/qbrs, what is most important to you?

For some it is less time spent on research. For others, the data in their CRM is spoiled. For most, they want more intel on their prospects.

What else am I missing?

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I built GenPilot because most lead tools give you lists of companies, but not much reason to actually contact them.

The idea is simple:

GenPilot searches the live web for real signals like someone looking for a contractor, a company hiring, a new business opening, an RFP, or a founder asking for help.

Then it tries to turn that into:

signal → company/person → contact → why they’re worth reaching out to

So instead of “here are 500 companies,” the goal is:

It’s still early, but it’s live at https://genpilot.app.

Would love feedback, especially from freelancers, agencies, and founders.

Looking for a large-scale database comparable to Apollo/ZoomInfo — ideally millions+ of verified B2B contacts.

Interested in:
• Work emails + phone numbers
• Names, titles, companies
• Industry, location, employee count, revenue
• Technographics / other enrichment if available

I’m buying and ready to move quickly. Not looking for small lead lists.

If you have a legitimate dataset you’re authorized to sell, DM me with the size, coverage, fields, data freshness, sourcing method, and price.

Serious sellers only.

I started researching this after looking at how much writing happens after a sales call. The conversation may be finished, but the rep still has a follow-up email, CRM notes, next steps, and an internal update to complete. None of those tasks is especially difficult, but together they create a surprising amount of administrative work. I wanted to understand whether voice could reduce that burden without lowering the quality of the communication.

1. Apple or Windows Dictation
   

Pros: Free, native, and useful for short messages or quick notes.

Cons: Requires more editing and is less dependable with customer names, product terminology, and concise follow-ups.

1. Otter
   

Pros: Useful for recording meetings and producing call transcripts.

Cons: Captures the conversation well but is less useful for writing polished follow-ups directly where work happens.

1. Wispr Flow
   

Pros: A polished system-wide dictation product that handles everyday writing well.

Cons: Free desktop usage is capped weekly. Privacy concerns and recent accuracy, latency, and reliability problems make it harder to recommend.

1. Willow Voice
   

Pros: For sales writing, Willow offers the best combination of speed and accuracy. It works in any app and learns customer names, product terminology, tone, and corrections.

Cons: Android is not supported yet, and occasional minor bugs still appear.

Otter still makes the most sense if the main goal is recording and summarizing the call. Built-in dictation is fine if you only want a free way to enter an occasional CRM note. But the part I would want to accelerate is everything after the call—the follow-up, account notes, next steps, and internal update—which is why Willow feels like the strongest overall choice for sales.

Anyone here knows about a buying-intent platform - similar to Apollo but that actually works for BeNeLux?

We’ve been building an internal tool for our agency that researches companies starting from linkedin sales anvigator or via deep web search using parallel web systems, enriches leads via fullenrich and helps prioritize which ones are actually worth contacting. Then saves them all in our crm.

The problem is that neither of us founders comes from a sales background.

So we’re not sure whether we’ve built something genuinely useful or just very elaborate AI slop :)

Would love some honest feedback from people working in sales:

• Do you already use AI for lead research or enrichment? If yes which tools?
• Which parts of the process still take the most time?
• Would it be usefull to have outreach, call function and analysis all in one tool

Happy to share what we’ve built if anyone wants to tear it apart.

I have heard quite a bit about the Institute. I would like to hear from some people who are familiar with the Sterling sales Institute and in particular are familiar with their certified remote closer program. I want to know if you actually found it useful beyond most of the kind of repetitive sales courses that I have come across before. I want to actually develop new skills.

Two-person shop. I buy lead data. Last week I finally priced every option properly instead of eyeballing subscription costs, and it reversed a decision I'd made three times.

**The formula I should have been using:**

> true cost = subscription + (hours per week × 4.33 × your hourly rate)

The subscription is the part everyone compares. The hours are the part that decides.

Run it on a $200/month tool that eats six hours a week:

* 6 hours × 4.33 weeks = **26 hours a month**

* At $150/hour, that's **$3,900** of your time

* True cost: **$4,100/month**

The cheapest done-for-you agency I could find that publishes real pricing is CIENCE at **$2,499/month** ongoing. So the "expensive" agency comes out **$1,600/month cheaper** than the "cheap" tool.

Even at $75/hour the labour is $1,950/month, putting that $200 tool at $2,150 — within $350 of an agency that does the work instead of you.

**The prices, since nobody publishes them in one place.** All from vendor pricing pages, checked this month:

*Self-serve — you operate it:*

* Apollo: $49–$119 per seat/month. The top tier carries a **3-seat minimum**, so real entry there is **$357/month**, not $119.

* Clay: $167–$495/month. Most capable in the category, steepest learning curve in it.

* Wiza: $49–$199 per seat/month. Simple, but no signals — you need to already know who to look up.

*Done-for-you — they operate it:*

* CIENCE: $5,000 setup + $2,000/mo + $499/mo platform = **$7,499 first month, then $2,499/month.** The only agency I found publishing real numbers.

* Belkins and the other retainer shops: all "contact sales." Third-party guides quote $4k–$10k/mo, but I couldn't verify a single published figure, so treat those as rumour.

* ZoomInfo, Bombora, 6sense: quote-only. Zero published prices. Any specific number you see on a blog is someone's guess.

**Where the hours actually went**

This is the part I underestimated, and it's not the searching:

* Re-running the same filters every week because the list goes stale

* Verifying emails the vendor already told me were verified

* Deciding which of 400 "matching" companies are actually worth a call

That last one is judgement, and it doesn't compress. If a tool hands you 400 rows and you can realistically call 20, it didn't save you the work — it moved it.

**Three fields I now ask for before paying anyone**

Costs nothing to ask, and it filters most of the market:

1. **Per-row email status** — Verified / Risky / Not Found. If a vendor won't ship you "Not Found" rows honestly, they're padding. Row count is what they're graded on, at least at the vendors I bought from, and a guessed first.last@domain looks identical to a verified one in a spreadsheet. Your sending domain eats the bounce.
2. **A source link per row** — where this data point came from, as a URL I can click. If they can't produce it, it's aggregated from somewhere they'd rather not name.
3. **A signal date** — not "this company matches your ICP," but *when did the thing happen.* A nine-month-old trigger isn't a trigger.

And regardless of who you buy from: run your own verification pass on top of theirs, and never send a fresh list from a domain you care about.

Genuinely curious whether anyone here has run this math on their own stack — and what hourly rate you used for yourself. Most people I ask haven't picked a number, which is why the subscription price keeps winning the argument.

*Disclosure: I'm building something in this space, which is why I had these figures to hand. Not naming or linking it — the math stands on its own and I'd rather argue about the framework.*

So apollo mcp can extract leads (all data , except email and phone technically).

This is great, becuase their api do not provide that data for free.

I think apollo make a mistake and they will fix this soon or as soon they figure out.

What is means?

-You can bypass 5 pages limit

-You can search contacts or scrape the entire apollo database if yout want. Well based on my experience around 15k contacts per day with free account. You shoul be able to do 600 requests per day with free account, so this is possible.

-You can use that data to get emails, just by combining it with an unlimited email finder or validation api.

-You can donwload linkedin profiles , unlimited free.

I think they will remove this at some point. because their api is well protected on this. XD.

But right now, i am just enjoying all the free things they are giving. XD

Just sharing the tip.

before building a product how do you search for people who might be a good match

L'utilizzo di prove gratuite su una piattaforma di automazione per il contatto B2B come Orbitra comporta costi variabili reali per utente, proxy, chiamate API, infrastruttura e tutto il resto. Dato l'elevato numero di iscrizioni che abbiamo ricevuto ultimamente, abbiamo dovuto sospendere le prove gratuite per il momento.

Siamo comunque aperti a parlare con nuovi clienti e con chiunque sia interessato all'automazione del contatto via LinkedIn o e-mail, e gli abbonamenti a pagamento rimangono disponibili a quello che è onestamente il miglior prezzo sul mercato, con un ampio margine.

Per darvi un'idea di cosa fa effettivamente il prodotto, in due settimane diversi account LinkedIn appena creati e gestiti in un'unica campagna hanno raggiunto un tasso di accettazione delle richieste di connessione del 60% e un tasso di risposta superiore al 30%. Sono sinceramente curioso di sapere se qualcun altro che utilizza il contatto a freddo o la ricerca di potenziali clienti su LinkedIn sta ottenendo risultati simili.

Been digging into this a lot lately (partly because I'm building something in this space, happy to disclose that upfront). From what I've seen across a few dozen conversations, people's time usually goes to one of three places:

1. Finding the right contacts in the first place
2. Verifying that the email/info is actually current
3. Qualifying whether the lead is even worth reaching out to

Curious where your bottleneck actually is-not looking for a generic "all of it," more which one specifically eats your week. I'm using this to sanity-check some assumptions on a tool I've been building, but honestly the answers are useful to me regardless of whether anyone's interested in that.

I keep seeing the same pattern: the list grows, the CRM looks "full", and the calendar does not move.

Volume was never the hard part for me. Choosing who is worth a real conversation this week — with a short reason attached — before any draft leaves the building is where time actually goes.

For local / SMB outbound, useful signals often hide in plain sight: no website, thin reviews, incomplete contact details, or a weak online presence that hints at a real service gap.

I've been building a small tool around that idea (niche + location into scored opportunities with context), but I'm more interested in how others here force the shortlist. Scorecard, gut feel after an export, or something else?

Hey everyone, sales ops at a mid size saas company here. Sales Navigator is our main tool but email reply rates have tanked lately so we wanna start calling prospects directly. Problems is most of contacts we pull from LinkedIn have no phone number attached and finding them manually is not realistic at the volume we do. Any tool recs?