Comparison
Keep your stack.
Most of it.
Lusha, Kaspr, ZoomInfo, Cognism, Apollo, Surfe, Nooks, Orum, Gong, Balto. They are good tools and we are not here to talk you out of them. But look at where they sit: nearly all of them get you to the call, or tell you about it afterwards. Very few are in the room while you are actually talking. Four are, in their own way: Balto out of a contact-centre stack, Nooks battlecards inside a dialling session, Outreach content cards, and Gong Assist. Every one of them fires on a keyword, or serves back content your team wrote earlier, rather than on the person whose profile is open in front of you.
So for a dialer, a recorder or a sequencer, the answer really is keep it. For a reveal tool it is a closer call, and rather than asking you to take our word for it, the long version is below, tool by tool, and under that is the actual credit arithmetic, including the four tools that give you more phone numbers per month than we do.
The short version
- Almost everything on this page gets you TO the call, or tells you about it afterwards. We work during it.
- Keep your dialer and your sequencer. Those are different jobs and we are not trying to take them. The recorder is the one honest exception: we transcribe the call and replay how it could have gone, so a solo rep may not need a second tool for that, while any team that reviews calls together still will.
- We are not the cheapest way to buy phone numbers. Four tools here give you more per month than we do, and they are named below.
If that is enough, the side-by-side below takes about thirty seconds. If you came here about one particular tool, pick it below.
Skip to the one you already pay for
The actual difference
Same profile. Two tools.
One LinkedIn page, open in front of a rep. Here is everything a contact database hands back, and everything we do. This is the difference on one screen. Everything below is the evidence for it, tool by tool.
What a contact tool returns
+1 (512) 555 0148
dana.whitfield@northbeam.com
That is the whole output.
Now dial it. She picks up on the second ring, and four seconds later you have to know who she is, why she should care today, and what to say when she tells you she is not interested. That part was never in the subscription.
What PitchWhip returns
PitchWhip
Read from this pageVP Revenue Operations owns the sales stack. The functional buyer, named cleanly on the page.
Closed a $42M Series B on 14 Jan and has opened three SDR reqs in five weeks. Headcount is outrunning onboarding. Source: TechCrunch
Say this first
“Dana, this is a cold call. You can hang up. I noticed you have had three SDR roles open since the Series B. Usually when a team scales that fast, ramp is what quietly breaks. Worth sixty seconds?”
She will probably say
“We already use Gong for this.”
Answer · Most RevOps teams your size do. Gong tells you what happened on the call. We are upstream of that, in the first ten seconds before there is a call worth recording.
+1 (512) 555 0148
and the numberdana.whitfield@northbeam.com
and the emailOne credit each, refunded if nothing is found and refunded again if the number turns out to be dead.
Same profile, same four seconds. The difference is that you already know what to say, and the number is the footnote rather than the product.
Where the money goes
Your stack is built around a call none of it is in.
Line the tools up on a timeline and the shape is obvious. Thousands a year is spent getting a human onto the phone, and thousands more analysing the recording once they hang up. The sixty seconds in between, the only part where revenue actually changes hands, is where the spending thins out to almost nothing.
Before the call
Get a human on the line.
Databases find the name and the number. Dialers punch through enough of them to reach somebody. Sequencers warm the ones who never pick up.
Lusha, Kaspr, ZoomInfo, Cognism, Apollo, Seamless, Surfe, Nooks, Orum, Outreach, Salesloft, Regie.ai, Clay, Hyperbound
The call itself
“Hello?”
Now you have about four seconds to know who they are, why they should care today, and what to say when they tell you they are not interested. Historically this part was called being good at the job, and you either were or you weren’t.
PitchWhip · and, in their own way, Balto for contact centres, Nooks battlecards inside a Nooks session, Outreach content cards, Gong Assist
After the call
Work out what went wrong.
Recorders transcribe it, score it and surface the moment you lost them. Genuinely useful, and entirely retrospective. The call it is teaching you about is already over.
Gong, Chorus, Avoma, your CRM. PitchWhip does part of this too: it transcribes the call and replays how it could have gone.
This is why the honest answer to “we already use X” is almost never “then drop it”. It is: that tool owns a different column.
The categories
Almost every tool here is one of six things.
Vendors blur the categories because bundles sell better. Buyers pay for the blur twice. Here is what each one actually owns, and what it hands straight back to the rep.
Contact databases
Lusha, Kaspr, ZoomInfo, Cognism, Apollo, Seamless, Surfe
Owns: Who exists, where they work, and what number reaches them.
Hands back: The call. You get a name and a number, and the rest is you.
Parallel dialers
Nooks, Orum
Owns: Volume. Dialling many lines at once so a human actually answers.
Hands back: The moment they answer. The dialer’s job finishes at hello, which is exactly where the hard part starts.
Sequencers and AI SDRs
Outreach, Salesloft, Apollo, Regie.ai
Owns: Cadence. Who gets touched, on what day, through which channel.
Hands back: Anything that needs saying out loud. The call step in a sequence is a task, not a script.
Call recorders
Gong, Chorus, Avoma
Owns: The transcript, the scoring, and the coaching conversation later.
Hands back: Nothing, because it arrives after the call. It teaches you about a conversation you have already lost.
Practice and personality
Hyperbound, Crystal Knows
Owns: Rehearsal before the call, and a read on how someone likes to be spoken to.
Hands back: The specifics. Neither knows why this company is worth ringing this week.
Contact-centre assist
Balto
Owns: Live prompting from a knowledge base while an agent is talking.
Hands back: The prospecting half entirely, and it expects a contact-centre phone stack underneath it.
PitchWhip
The sixty seconds after they say hello
Owns: Whether this person is worth calling today, the opener, the objections, and the coaching while the call is live.
Hands back: Bulk list building and the dialling itself, on purpose. Those belong to the tools above.
“Hi, this is Kate from Cloudvale, and we’re a leading provider of cloud solutions that help businesses like yours to unlock synergies and drive…”
Call ended after 4 seconds
Every tool in the six boxes above could have got Kate to that call. Not one of them was going to stop her opening like that.
Job by job
The rows we lose are still on the table.
Rows are jobs a cold caller needs done, not feature names. Three of them go against us and all three are permanent. Two are the same decision: we reveal one prospect at a time, on request, and never export a list. That costs us two rows here, and it is the reason a departing rep cannot take your database with them, and the reason the extension is a short conversation with your data protection people rather than a long one.
Contact databases
Parallel dialers
Sequencers
Call recorders
PitchWhip
Scroll the table sideways on a phone.
“We already use…”
Find yours. Get the answer.
A closed list, not a catalogue. Open the one that is on your bill and you get the same three things: what it still leaves you to do, whether you need both, and what it is genuinely better at than us. If it is not on your bill, you do not need to read any of these.
NooksAI dialer platformDifferent job, keep it
An AI sales assistant platform: parallel dialer, sequencing, intent signals and coaching in one workspace, aimed at getting reps into more live conversations a day and then transcribing, scoring and coaching every one of them.
What you still have to do
Whether this person is worth YOUR pitch, and the words for it. Nooks ranks prospects by who is likely to answer and convert. That is a different question from whether this company would actually buy what you sell, which is the question our fit verdict answers, with the evidence quoted underneath and with your own colleagues and competitors flagged rather than dialled. Nothing in Nooks writes the opener for this named person, under the product you are selling today, in the phrasing you actually use.
Run both?
Yes, and this is the common case. Nooks wins the connect, we win the sixty seconds after it. On the one genuine overlap, be precise: Nooks Live Battlecards fire on a keyword and surface content your team has written, which is the same card for every prospect who says that word. Ours are generated for this named person, against the pitch profile you are selling under, in your own phrasing, before the phone rings. A battlecard tells the room what to say about a topic. We tell this rep what to say to this person.
Nooks is built around the dialling session: a queue, worked at volume. PitchWhip is built around one named person and one seller. Same prospect, two reps selling different products, and the brief, the opener and the objections all come out different. A dialer cannot do that, because it does not know what you sell.
Where Nooks beats us: Volume, and everything volume needs. Parallel dialling, waterfall enrichment that spots a dead number mid-session, AI roleplay bots built from your own recorded calls, automatic scoring and searchable transcripts, plus DNC, time-zone and local-presence automation across the US, Canada and EMEA. If your problem is that reps are not having enough conversations, that is the product for it.
OrumParallel dialerDifferent job, keep it
A calling performance system built for one job since 2018. Up to ten lines at once, AI detection that tells a human from a screener, a voicemail and a dial tree across 20+ languages, and sub-half-second bridging to whoever picks up first.
What you still have to do
The words for one named prospect. Orum includes AI Objection Detection, AI call summaries and a call library in-plan, so there is real intelligence around the conversation, but it is detection and review rather than an opener and a script written for the person you are about to ring. On their published pricing, AI Coaching sits in the add-ons and Live Battlecards is marked coming soon.
Run both?
Yes. Orum gets a human on the line and hands the call to you, which is the cleanest split on this page. One overlap to know about: Orum acquired Scout AI in July 2026 and now markets Scout by Orum for sourcing phone numbers across 30+ sources, so contact data is no longer wholly outside their scope.
Where Orum beats us: The dial itself, done better than anyone. Hot Numbers is a real moat, an algorithm over 200M+ calls on their own platform picking the best number and the best moment. The virtual Salesfloor genuinely recreates a distributed team overhearing each other. There is a usable free trial capped at 500 dials, which is more than most enterprise dialers offer.
LushaContact databaseOverlaps on the reveal
A B2B contact database with a Chrome extension that surfaces it on LinkedIn, Sales Navigator, CRM records and company websites. Published as 290M+ contacts and 26M+ companies, with enrichment, intent signals, email sequencing and a conversation-intelligence product alongside.
What you still have to do
Everything after the number. Lusha’s own cold-calling scripts and objection material are blog templates and a generic generator, separate from the product. Lusha Conversations records and analyses calls after the fact rather than helping mid-call. Their signals and ICP scoring work at account level, not as a verdict on the individual profile in front of you.
The credit arithmetic
Lusha Starter is $37.45 a user a month for 400 credits, on one shared balance like ours rather than the separate pools Kaspr and Surfe use. The catch is weighting: Lusha’s own pages price a phone reveal at 5 credits in four places and 10 in one, so that allowance is either 80 phone reveals a month or 40. At 5 they beat our 50 comfortably. For email-led work they win outright, since 400 credits is 400 emails against our 50. Be fair about the miss: on Lusha’s platform and extension a lookup that finds nothing costs nothing, and only their API carries a one-credit floor. The real gap is what happens when the phone number looks fine on paper and is dead when you ring it. Lusha states that credits are “deducted at the point of reveal, not at the point of use”, and recovering one for bad data takes a report and a support ticket reviewed case by case, where a rep reclaims ours in one tap.
Run both? This is one of two cards here where you might not need both. Surfe is the other, and its overlap is the closer of the two. If you are on Lusha mainly to get a number on a LinkedIn profile, that is the overlap: our reveal fans across 20+ providers instead of one database, and a credit spent on a number that turns out to be dead comes back in one tap rather than through a support ticket. On a lookup that simply finds nothing, Lusha charges you nothing either, and that part is a draw. Keep Lusha if you are exporting lists in bulk, because we deliberately do not do that.
Where Lusha beats us: Scale and reach that a per-prospect tool does not have and does not try to have. The extension works far beyond LinkedIn, bulk export and list building are first-class, the free plan is real, and the published compliance posture is unusually strong including ISO 27001, ISO 27018, SOC 2 Type 2 and an accredited ISO 27701 certification.
KasprContact databaseOverlaps on the reveal
A LinkedIn-first contact extension and dashboard, part of Cognism since 2022. Reveals phones and emails on LinkedIn, Sales Navigator and Recruiter Lite, then organises them into lead lists and pushes them into a CRM or outreach tool.
What you still have to do
What to say. Kaspr does not advertise an opener written in your voice, a call script, prepared rebuttals for a named prospect, or coaching while the call is running. The dialling it supports is telephony through a partner integration rather than a prepared conversation.
The credit arithmetic
Kaspr Starter is £39 a licence a month billed annually, or £51 month to month, for 100 phone credits. Ours is £49 either way, for 50. On raw phone volume they win, and we are not going to pretend otherwise. Two differences do matter. Kaspr meters phone credits and direct-email credits from separate pools, so a phone credit cannot buy an email: 100 phone and 5 direct-email credits a month on Starter, alongside unlimited B2B emails. Ours is one balance, and one credit buys a phone or an email. And their terms state credits are not refundable, so 100 credits is 100 attempts where our 50 are 50 numbers actually found. Kaspr also publishes no route for reporting a dead number and getting the credit back, where a rep reclaims ours in one tap. On coverage, note that Kaspr’s published source count describes how its database was built up over time, while ours describes the providers a single reveal fans out across.
Run both? Same answer as Lusha. Real overlap on the reveal, none on the call preparation. If you are phone-led, the pool structure above is the thing to check against your own plan.
Where Kaspr beats us: A free tier with recurring monthly reveal credits, where ours gives 5 scripts a day and no reveals, which is a different currency. And unlimited B2B emails on every paid plan. A fully published, self-serve entry price with monthly billing their own FAQ describes as non-binding. Deep European coverage, and it serves recruiters as well as sales teams. It is also more than a reveal button: lead lists, tasks, notes, LinkedIn follow-up workflows, and calling from inside the app through their Ringover and Aircall integrations.
ZoomInfoGTM intelligence platformDifferent job, keep it
The largest of the go-to-market intelligence platforms: contacts, companies, org charts, intent and buying-group data, with Copilot as an AI layer over the top and ReachOut as a browser overlay.
What you still have to do
The individual call. Copilot is documented around talking points, deal briefs, account summaries and email drafts across a whole book of business. ZoomInfo does not advertise a full cold-call script written in one rep’s own voice, a prepared objection set for a named prospect, or an assistant that helps while the call is running.
Run both?
Yes. If your company already owns ZoomInfo you are not going to displace it with anything on this page, and you should not try. Load the accounts from ZoomInfo and use us on the profiles you actually dial.
Worth knowing before your renewal: ZoomInfo has said the seat-based packages are being replaced from Q3 2026 by a low platform fee plus prepurchased credits, so tier figures other buyers quote may not describe what you are offered today.
Where ZoomInfo beats us: Depth nothing here matches and we do not attempt to. 500M+ contacts, 120M+ direct dials, org charts, Scoops, intent and buying-group mapping, 70+ integrations and a mature compliance apparatus including nine global DNC suppression lists and a Compliance API. For territory planning and account strategy it is a different class of tool.
CognismContact databaseDifferent job, keep it
Europe-focused, compliance-first B2B data. The headline asset is Diamond Data: mobile numbers a human has actually rung to confirm the right person answers.
What you still have to do
Call preparation. Their sales-intelligence pages advertise data, AI Search, research and account summaries; they do not advertise an opener in your voice, a call script, prepared rebuttals or coaching during the call. Diamond verification of a contact not already verified is a request you submit rather than an instant lookup.
Run both?
Yes, and this is the cleanest pairing on the page for a European outbound team: their phone-verified mobile, then our sixty seconds. Worth knowing that Diamond is a subset of the wider database, published as 10m+ phone-verified contacts, and Cognism markets its strongest coverage at director level and above in Europe.
Where Cognism beats us: Phone-verified mobiles are genuinely hard to replicate, and Cognism backs the claim with an independent study of 1,000 contacts showing correct-person pickup rising from 18% to 45%. DNC cross-referencing across 15 territories applied by default, notified sourcing under legitimate interest, and 95% of director-level and above contacts refreshed every 30 days. For a regulated buyer or a legal review, that posture is a real advantage.
Apollo.ioAll-in-one platformOverlaps on the reveal
The broadest self-serve bundle: database, sequencing, dialer, meeting scheduler, call recording, deal management, enrichment and analytics under one published per-seat price.
What you still have to do
The pre-dial judgement. Apollo does ship a LinkedIn side panel and AI-researched call scripts, so the surface is familiar. What it does not advertise is a fit and timing verdict on the individual with the evidence quoted underneath it, or an assistant that helps while the call is running.
The credit arithmetic
Worth doing the sum before you assume we are cheaper on data: Apollo Basic is $49 a seat and grants 30,000 credits a seat a year upfront, and at their published 8 credits per phone number that is roughly 312 phone reveals a month against our 50. Two caveats from their own docs: waterfall enrichment can push one phone to 8 to 25 credits and some configurations past 45, and US dial time draws 2 credits a minute from the same balance you build lists with.
Run both? Often yes. Two things to check on your own bill first: the power, parallel and international dialling sit behind an Advanced Dialer add-on priced per team on top of every seat, and US dial time consumes 2 credits a minute from the same balance you build lists with, so calling competes with prospecting.
Where Apollo.io beats us: Genuine stack consolidation at a transparent, self-serve price, which is rare in this category. Published verification figures including 98% email accuracy and under 1% invalid direct dials. A free tier that is actually usable rather than a teaser, and serious dialer engineering on the paid tiers.
Seamless.AIContact databaseOverlaps on the reveal
A real-time search engine for contact data rather than a stored database: it crawls at query time, on the argument that a record starts decaying the moment it is filed.
What you still have to do
Live help. Pitch Intelligence generates scripts and talk tracks from company data before the call, which is research rather than coaching, and they do not publicly document an assistant that surfaces rebuttals while a call is running.
The credit arithmetic
Their credit is a bigger unit than ours: one credit returns the whole contact, phone and email together, and the Basic licence carries 250 a month. On volume they win comfortably. The catch is that the credit is spent at research time, and their Credit Back Protection covers invalid emails only, explicitly not phone numbers, so 250 is 250 attempts rather than 250 numbers. Ours are refunded whenever nothing is found.
Run both? Overlapping on the reveal, so compare those directly. One difference in how the credit works: theirs is consumed when the research runs, and the published refund guarantee is stated specifically for invalid emails. Ours refunds whenever nothing is found, phone or email.
Where Seamless.AI beats us: Very large published phone coverage at 448M+ verified mobiles, an architectural bet aimed squarely at data decay, and a simple credit unit where one credit returns both phone and email. Their Credit Back Protection refunds automatically for an invalid email, which is a vendor putting money behind an accuracy claim.
SurfeLinkedIn contact dataOverlaps on the reveal
A Chrome extension over LinkedIn that reveals verified emails and mobiles and syncs them into the CRM. Structurally the closest thing on this page to the reveal half of what we do, waterfall included.
What you still have to do
Decide whether the call is worth making, and work out what to open with. Surfe answers what this person’s number is; it does not tell you whether they are the right person, whether now is the right moment, or what to say. No opener, no script, no rebuttals, and nothing during a live call.
The credit arithmetic
The closest arithmetic on the page. Surfe Essential is $39 for 50 mobile credits a month, the same phone count as ours, and adds a separate 150 email credits on top. They also run a multi-provider cascade, and they also charge nothing when a lookup finds nothing, so neither the waterfall nor the refund is a difference between us. The real difference is that their mobile and email pools are separate while ours is one balance, and that we publish the provider count.
Run both? Probably not both. This is the most direct overlap on the page, so compare the reveal side by side: both run waterfalls and neither of us charges for a miss, so only two things separate them. Their mobile and email credits sit in separate pools while ours is one balance you spend either way, and we publish the provider count. Worth knowing that Surfe meters mobiles as the scarcer pool against a much larger email allowance.
Where Surfe beats us: A published, self-serve per-seat price, a genuine multi-provider waterfall rather than one database, and CRM plumbing that is cleaner than most. If all you want is a number on a LinkedIn profile pushed into HubSpot or Salesforce, it is a focused tool that does exactly that.
BaltoReal-time agent assistDifferent job, keep it
Real-time AI guidance during live calls, surfacing knowledge-base answers as the conversation happens, with automated QA scoring across every interaction plus compliance monitoring.
What you still have to do
Everything before the call. Balto is built for contact centres in insurance, healthcare, banking, collections and BPO rather than for B2B outbound on LinkedIn, and it needs to sit on an existing phone system or contact-centre platform. It does no prospect research, issues no fit or timing verdict, and reveals no contact data.
Run both?
If you already run a contact centre on Balto, keep it. The honest summary is that we overlap on the idea of live help and share almost no context: theirs comes from a knowledge base inside a call centre, ours from the profile of the specific person you are ringing.
Balto is the tool most likely to be raised as the real competitor, and it is the fairest comparison on this page. The difference is not the live layer, it is what feeds it: a contact-centre knowledge base for a queue of inbound-shaped calls, against one named prospect you chose to ring.
Where Balto beats us: Live in-call guidance done properly, and at contact-centre scale. Balto is the closest analogue anywhere to helping a person while they are actually talking, with QA on 100% of calls and compliance monitoring that regulated operations genuinely need.
HyperboundAI roleplayDifferent job, keep it
AI buyer personas that reps practise cold calls and discovery against, then get scored and coached. It includes a LinkedIn-based persona builder so a rep can rehearse against a simulated version of a real prospect.
What you still have to do
The real call. Hyperbound’s value lands in simulation, before the conversation happens. It holds no contact data, does no discovery, and issues no verdict on whether a real person is worth ringing today.
Run both?
Yes, and they pair unusually well. Practise on Hyperbound, then dial with us. If your team is ramping new reps, that is a sensible pair of purchases.
Where Hyperbound beats us: Deliberate practice, which nothing else here offers and which we do not attempt. Rehearsing a hard conversation before it matters is genuinely how people get better, and doing it against a persona built from a real profile is a clever idea.
Crystal KnowsPersonality intelligenceDifferent job, keep it
DISC-based personality profiles for individuals, with communication guidance and meeting-prep briefs, delivered partly through a Chrome extension on LinkedIn.
What you still have to do
Whether and why to call. Crystal tells you how to talk to a personality type, not whether this is the right person, whether something has just changed at their company, or what the opener should reference. It reveals no contact data.
Run both?
Yes, and there is less overlap than the shared LinkedIn surface suggests. Crystal answers how they like to be spoken to. We answer why you are ringing today and what to say first.
Where Crystal Knows beats us: Genuinely useful read on how someone prefers to be spoken to: pace, directness, how much detail they want. For a long, relationship-led sale, that is a real edge and it is a different axis from anything else on this page.
Regie.aiAI SDRDifferent job, keep it
An AI SDR platform bundling research, enrichment, message drafting, a dialer and agents into one workspace, able to build lists, verify contacts and run outreach largely on the rep’s behalf.
What you still have to do
The human call. The premise is that an AI runs outbound at volume for you; ours is that a person is about to ring one named prospect and needs the words. One shared credit pool also covers research, enrichment, drafting and dialing, so heavy calling competes with heavy emailing.
Run both?
These are two different bets and you should know which one you are making. Regie’s premise is that outbound can run with fewer humans. Ours is that the human is the asset and what they lack is the words. The test is simple: if your reps are still the ones dialling, an AI SDR does nothing for them at the moment somebody picks up, which is the only moment that was ever hard. Worth checking your own usage too, because research, enrichment, drafting and dialling all draw on one shared credit pool, so a heavy calling month quietly starves the emailing.
Where Regie.ai beats us: Automation of the whole outbound motion at a published, self-serve price, with sending from your own Gmail or Outlook rather than shared infrastructure. If your intent is to run outbound with fewer humans, that is a coherent bet and we are not it.
GongRevenue intelligenceDifferent job, keep it
Records, transcribes and analyses your calls, then turns the patterns into coaching and forecasting. The category leader for understanding what happened in your pipeline.
What you still have to do
The preparation. Gong does have real-time surfaces, including a live transcript and Gong Assist coaching suggestions, which is worth knowing before anyone tells you it is purely a recorder. What it does not do is decide who is worth ringing, reveal the number, or write the opener for the profile you have open.
Run both?
Often yes, though this is a narrower gap than it looks. We transcribe the call, summarise it and replay how it could have gone, so a solo rep may already have enough. Gong is what you buy when review has to work across a whole team: searchable libraries, scoring, deal risk and forecasting. If your team already runs it, its findings are a good source of the rebuttals you load into us.
The usual objection is “Gong already coaches our reps”. It does, and increasingly during the call as well as after it. The gap is upstream: Gong starts when a call exists. We start when you are deciding whether to make one.
Where Gong beats us: Everything after the call, at a depth we do not attempt. Transcript search, deal risk, coaching at team scale, and the ability to show a manager what actually gets said rather than what gets typed into the CRM.
Outreach & SalesloftSales engagementDifferent job, keep it
Cadence engines. They decide who gets touched, on what day, through which channel, and keep the whole team honest about follow-up.
What you still have to do
The specifics of one named person. A call task in a cadence is a reminder that a call is due, and the live cards surface your team’s saved content rather than a read on the profile you are looking at now.
Run both?
Yes. The cadence decides the rep calls at 10am. We are what opens when they do. If you already get value from the live cards, the honest question is whether they are tied to this prospect or to a keyword.
Where Outreach & Salesloft beats us: Multi-channel orchestration and discipline at team scale, plus the reporting and CRM integration that revenue operations teams need to run a process rather than a set of habits. Outreach also ships live coaching through real-time content cards in its entry tier, which is more in-call help than most people assume a sequencer has.
ClayEnrichment plumbingDifferent job, keep it
A spreadsheet-shaped orchestration layer that chains many data providers and AI steps together to build and enrich lists programmatically.
What you still have to do
The human part. Clay is infrastructure that a revenue operations person builds with, not something a rep opens between dials.
Run both?
Yes, and they sit at opposite ends. Clay assembles who to call; we handle the call. If Clay already runs your waterfall enrichment, you may not need our reveals, and everything else on our side still applies.
Where Clay beats us: Flexibility nothing else matches for building bespoke data workflows, including waterfall enrichment across providers you already pay for. It is the power tool of the modern outbound stack.
The alternative
Or assemble it yourself.
Everything in the PitchWhip block above arrives from one seat. Two jobs a cold caller needs are not in that block at all: rehearsal against a buyer like them, and a read on how they like to be spoken to. Hyperbound and Crystal own those, we do not attempt them, and you would keep both. Here is the nearest tool for each of the four that are left, and two of those four have no answer here either.
A direct number for the person on screen
Lusha, Kaspr or Surfe
from $37.45, £39 or $39 per seat / month, billed annually
Help as the objection actually lands
Balto, or Outreach live cards
On request, or an Outreach seat
Fresh prospects daily, each with a cited source
Nothing here does this per person
Databases filter an index instead
The opener for THIS named person, in your voice
Nothing here writes it under the product you are selling
Apollo and Seamless generate scripts from company data
Two subscriptions, one of them quote-only, and you would still be stitching them together on every single call.
And the two rows nothing here answers, a fresh prospect with a cited reason to ring today and the opener for that named person, would still be missing. That is the whole reason PitchWhip exists, and it is £49 a month.
The bit most comparison pages hide
We are not the cheapest way to buy phone numbers.
Apollo gives you roughly six times the phone reveals on a seat that costs less than ours, $49 against our £49. Seamless gives five times as many on its Basic licence. Kaspr gives twice as many for ten pounds less on an annual commitment, though two pounds more than us month to month. Lusha gives more on its own most-published figure. Surfe matches our fifty, adds a hundred and fifty emails on top, and refunds misses exactly like we do. You would have found all of that in ten minutes, so here it is in one table instead.
A source count and a query plan are not the same number
Kaspr publishes a source count of 120+ on one page and 150 on another. That is not the same measurement as ours, and it is worth knowing why before you compare the integers. Their terms describe the database in contractual language: “The Database is constituted from third party sources offering online professional contacts… KASPR makes every effort to ensure regular updates of its Database.” A source count describes where a database came from over time. That is a supply chain, and it is not what happens when you press reveal.
We hold no database. One press fans out across our provider network at that moment and returns the strongest match, and our 20+ is a description of that query. Comparing the two figures directly is comparing a supply chain with a query plan. Lusha, which builds and owns its index, sets out the trade-off on its own blog: “Aggregators will almost always find more raw matches than a single proprietary provider.”
And when the number does not work
This is the part that costs you twice. Lusha states that “credits are deducted at the point of reveal, not at the point of use”, and getting one back for bad data takes a report and a support ticket, reviewed case by case. Kaspr’s terms say “credits are neither refundable nor exchangeable”, and Kaspr publishes no route for reporting a dead number and recovering the credit. We refund automatically when nothing is found, and a rep who reaches a dead or wrong number reclaims the credit in one tap.
The same numbers, with the detail
Tool
Price
What a credit buys
Refunded on a miss?
Apollo.io
$49 / seat / month
30,000 credits a seat a year, unlocked upfront. A phone number costs 8, so about 312 phone reveals a month if every credit goes to phone.
No refund on a phone miss
Seamless.AI
On request
250 credits a month on the Basic licence, and one credit returns the whole contact rather than one field.
Invalid emails only, never phones
Kaspr
£39 / licence / month
Up to 100 phone credits a month, in a pool that cannot buy emails. Starter carries 5 direct-email credits.
Terms say credits are not refundable
Lusha
$37.45 / user / month
400 credits a month on one shared balance. Lusha prices a phone at 5 credits on four of its own pages and 10 on another, so that is either 80 or 40 phone reveals.
Extension miss costs nothing; API charges 1
Surfe
$39 / user / month
50 mobile credits a month, plus 150 email credits in a separate pool.
Yes, nothing charged on a miss
PitchWhip
£49 / user / month
50 credits a month, and one credit buys a phone or an email, whichever you need that day. A credit only leaves your balance if the number is real.
Yes on a miss, and on a dead or wrong number
So don’t buy us for the numbers alone.
Fifty reveals a month is about two or three a day, which covers a rep making considered calls and does not cover a rep building lists. If you reveal at volume, keep your data tool. We are not trying to win that fight. We are trying to win the sixty seconds after they say hello, and nothing in the table above is even in that fight.
What it costs
Half this list won’t tell you the price.
Not a dig, it is just how enterprise software is sold: a demo, a discovery call, a quote shaped to what they think you can pay. We publish one number and you can start on it this afternoon without speaking to anybody. Read it against what each price includes rather than as a league table, and read it after the credit table above: on reveal volume alone several of these are better value than we are, and our £49 is buying the call layer that none of them sell.
Tool
Entry price
How you buy it
Free tier
PitchWhip
Lusha
Kaspr
Apollo.io
Surfe
Regie.ai
Crystal Knows
Clay
Nooks
Orum
ZoomInfo
Cognism
Balto
Seamless.AI
Prices as published on each vendor’s own pricing page in August 2026, and marked “on request” where the vendor does not publish one. List prices move and discounts exist, so treat this as a starting point and get your own quote. Wrong about something? hello@pitchwhip.com and we will correct it.
If you run the team
None of the above is your actual problem.
Credit arithmetic is a rep’s concern. If you are the one signing, three things matter more than credit arithmetic, and none of them is fixed by buying more data.
01
A new hire runs a senior rep's call on day one
Without you writing the enablement. The fit and timing verdicts, the prepared objections and the opener all arrive built, so nobody is versioning a script library that goes stale by March. In a team selling more than one thing, the part to look at is per-profile scoping: a rep selling product A cannot be handed product B's script, which is the exact failure that makes managers distrust shared call assets.
02
It is not another data line on the invoice
Lusha and Kaspr sell the reveal, and the reveal is an input. This is the layer that decides whether those inputs become conversations: who to ring, why today, how to open, what to say under pressure, and what happened. If your reps reveal fewer than about fifty numbers a month, our included reveals cover that too. Above that, keep your data tool and buy this as the layer on top. We would rather you knew which one you were doing.
03
You can finally see why, not just that
One tap logs the outcome and queues the next name, so the record is complete without you nagging anyone, because logging costs the rep nothing instead of costing them momentum. The dashboard turns that into calls, outcomes and best-performing hours, so blocks get scheduled on evidence. And the best answer to a recurring objection propagates across the team rather than living in one strong rep's head and leaving when they do.
Fair questions
The ones you were about to ask.
Is this just ChatGPT with a LinkedIn skin?
You could paste a profile into a chatbot and get a script. You would do it once, in the morning, for one person, and never again at 3pm on the fortieth dial. The work is in the loop: reading the LinkedIn profile you have open, checking the claim is actually evidenced before it says it, remembering how you talk, carrying the outcome into the next call, and being there mid-call without you typing anything. That is the product.
Our reps won’t read a script off a screen.
Good, and neither would we. The opener is one line, not a page, and it exists so the first four seconds are not improvised. Everything else is glanceable: the why-now, the landmine to avoid, and the rebuttal when it lands. Reps who already know what to say use it as a safety net. New reps use it as the whole floor.
We are already paying for three of these. I cannot add a fourth.
Then be strict about which line this replaces, because it may be none of them. If you reveal fewer than about fifty numbers a month, our included reveals probably cover you and a separate data subscription stops earning its keep. If you reveal more than that, keep it: Kaspr gives 100 phone credits at £39 and we are not going to win that on volume. What nothing else on your bill is doing is the call itself, and that is the line to judge us on.
Why is PitchWhip more per seat than Apollo?
Because Apollo is a platform priced to win the whole stack and we are one layer priced on its own. Compare what you would actually use: our £49 includes 50 reveals through a 20+ provider waterfall with the credit refunded on a miss, and Apollo meters phone reveals and US dial time against the same credit balance you build lists with, with the parallel dialer sold as a separate team add-on. If Apollo covers your data and cadence, keep it and add the call layer. We would rather be the cheaper half of a good stack than the expensive whole of a bad one.
What happens when LinkedIn changes their page again?
It breaks and we fix it, usually the same day, because we run the same profiles you do. This is a real cost of the category and anyone who tells you otherwise has not shipped a browser extension. The dashboard also does reveals by URL, so the data half keeps working regardless.
Test it against whatever you already own.
Five scripts a day, free, no card. Open a profile your current tool has already given you a number for and see whether the next sixty seconds gets easier. That is the only comparison that settles it.
All third-party product names and trade marks belong to their respective owners, and none of the companies on this page endorse or are affiliated with PitchWhip. Every description here is drawn from each vendor’s own public product and pricing pages, quoted as retrieved on 27 August 2026. Where a vendor publishes no price we say so and cite third-party reports instead, and the judgements about what each tool is better at are ours. Products change quickly. If we have described yours inaccurately, write to hello@pitchwhip.com and we will correct it or take it down.