Aidentified vs Kaspr (2026): B2B Contact Data Compared

TL;DR

• Aidentified is a relationship-intelligence and predictive-data platform: it maps who knows whom, scores propensity, and is strongest for wealth management, financial services, and warm-intro selling.
• Kaspr is a LinkedIn-first contact finder: it pulls phone numbers and emails in real time from profiles as you prospect, built for SDRs and recruiters who live in LinkedIn and Sales Navigator.
• They solve different problems. Pick Aidentified when relationship paths and propensity scoring drive deals; pick Kaspr when you need dials and inboxes fast from LinkedIn.
• Kaspr's pricing is transparent and self-serve (free plan plus paid tiers); Aidentified is quote-based and enterprise-leaning.
• If your real bottleneck is verified B2B emails by domain at a predictable cost, a dedicated finder like Tomba Email Finder often beats both on cost-per-valid-contact.

What are Aidentified and Kaspr?#

Think of it like two ways to fill a dinner party. Aidentified is the friend who knows everyone and can tell you "you already have three mutual connections to that person, and they're likely to say yes." Kaspr is the friend who just hands you the phone number so you can call right now. Both get you to a conversation — they just start from opposite ends.

Aidentified is a relationship and predictive-intelligence platform. It ingests professional and consumer signals, builds a graph of connections between people and companies, and layers propensity scoring on top — likelihood to buy, likely net worth, life-event triggers. It found its strongest footing in wealth management and financial services, where a warm path to a prospect is worth more than a cold list.

Kaspr is a contact-data tool that lives where you prospect. Install the Chrome extension, open a LinkedIn or Sales Navigator profile, and Kaspr surfaces phone numbers, mobile numbers, and email addresses on demand. It is built for speed: SDRs, recruiters, and founders who want to go from profile to dial in seconds. Kaspr is part of the Cognism family, which gives it access to a sizeable verified-mobile dataset.

The headline distinction: Aidentified answers who should I talk to and why, while Kaspr answers how do I reach this exact person right now.

How do Aidentified and Kaspr compare head-to-head?#

Here is the practical breakdown across the attributes that actually change your buying decision.

The table makes the split obvious. If your motion is "score a book of prospects and find a warm path," Aidentified is purpose-built. If your motion is "work a list of LinkedIn profiles and get numbers," Kaspr wins on simplicity.

Is Aidentified or Kaspr more accurate?#

Accuracy depends on what you're measuring, because the two tools optimize for different outputs.

Kaspr's accuracy story is about contactability — are the phone number and email real and reachable? Its mobile data, backed by the Cognism dataset, is one of its strongest assets, particularly for European direct dials where many competitors thin out. For emails, Kaspr applies verification, but like every LinkedIn-sourced tool it can return a personal address or a stale work email when someone has changed jobs.

Aidentified's accuracy story is about modeling — is the propensity score, the relationship path, and the wealth signal correct? That's a fuzzier target. A relationship-intelligence platform can be "accurate" in the sense that two people genuinely share a connection, yet still hand you a contact record with an outdated email. Predictive scores are probabilistic by design; they guide prioritization, not literal reachability.

The honest takeaway: neither tool is a substitute for verifying the email before you send. Bounce rates wreck sender reputation regardless of where the address came from. Run any address — Aidentified record, Kaspr export, or scraped list — through a dedicated email verifier before it enters a sequence. A two-cent verification check is cheaper than a damaged sending domain.

What does Aidentified vs Kaspr pricing look like?#

Pricing is where the two diverge most sharply, and it tells you who each tool is really for.

Kaspr publishes its plans. There's a free tier with a small monthly credit allowance, then paid tiers that scale credits for phones and emails, with annual commitments unlocking more volume. It's self-serve — you can start today without a sales call. That transparency is a real advantage for small teams and individual reps who want to test before committing budget.

Aidentified is quote-based. You talk to sales, scope your seats and data needs, and get a custom number. That's standard for relationship-intelligence platforms aimed at enterprise and financial-services buyers, but it means slower evaluation and a higher floor. If you're a two-person startup, Aidentified probably isn't built for your budget.

For context on how transparent, usage-based pricing works in the contact-data space, compare both against published Tomba pricing:

The point of showing this side by side isn't that one number beats another — it's that you should map cost per verified contact to the job you're hiring the tool for. Kaspr's per-credit model rewards focused LinkedIn prospecting. Aidentified's enterprise model rewards teams that monetize relationship data. A domain-search-first finder rewards teams that need predictable, verified email volume at scale.

Who should choose Aidentified?#

Choose Aidentified when relationships and propensity are the engine of your revenue, not an afterthought.

It's the right call if you are a wealth manager or financial advisor who needs life-event triggers (liquidity events, job changes, business sales) and net-worth modeling to time outreach. It's also strong for enterprise sellers running an account-based motion where a warm introduction through a shared connection materially lifts win rates. If your reps routinely ask "who do we already know at this account?", Aidentified turns that question into a searchable graph.

It's the wrong call if you just need contact details fast, if you're price-sensitive, or if your market is heavily European — Aidentified's strengths skew US-centric. The platform also carries a steeper learning curve; you're buying a data model, not a one-click lookup.

To go deeper on how relationship and intent data fit a modern go-to-market stack, see our primer on revenue operations and how enriched signals route into the funnel.

Who should choose Kaspr?#

Choose Kaspr when your team works LinkedIn every day and the bottleneck is getting reachable numbers and emails without breaking flow.

It's ideal for SDRs and BDRs doing high-volume cold outreach, recruiters sourcing candidates from profiles, and founders doing early sales who can't justify an enterprise data contract. The Chrome extension model means there's almost no onboarding: install it, open a profile, click reveal. Its European mobile coverage and GDPR-aligned, EU-based posture make it a practical pick for teams selling into the EU where compliance and reachable dials both matter.

Kaspr is the weaker choice if you need relationship-path intelligence, propensity scoring, or deep firmographic enrichment beyond contact details. It finds the person's number; it won't tell you they're statistically likely to buy or that your VP already knows their CFO. For LinkedIn-native sourcing specifically, our guide to the LinkedIn finder approach covers how profile-to-email workflows hold up at scale, and the phone finder breaks down direct-dial sourcing.

What's the best alternative to both?#

The uncomfortable truth: many teams buy Aidentified or Kaspr to solve a problem that's really "I need verified B2B emails, by company, at a price I can forecast." That's a different job from relationship modeling or LinkedIn scraping.

If that's your actual need, a domain-search-first email finder is usually the more efficient buy. Instead of revealing one contact per LinkedIn profile, you query a company domain and get the verified email patterns for the roles you target, in bulk, with verification built in. You skip the per-profile clicking and the enterprise quote.

This isn't a knock on either tool — it's about matching the spend to the job. Aidentified is excellent at what it does. Kaspr is excellent at what it does. Neither is the cheapest path to a clean, verified email list. Before committing, read independent reviews on G2 and the vendors' own docs at aidentified.com and kaspr.io so you're comparing current feature sets, not last year's.

For teams that want to enrich an existing list rather than start from scratch, layering data enrichment on top of any of these tools fills the gaps — adding firmographics, verifying emails, and deduping before outreach.

How do you decide in five minutes?#

Run this quick test:

1. Does a warm introduction change your win rate? If yes, lean Aidentified.
2. Do your reps prospect inside LinkedIn all day? If yes, lean Kaspr.
3. Do you mostly need verified emails by company, in volume, at a known cost? If yes, neither — use a dedicated finder.
4. Are you selling heavily into the EU? Kaspr's mobile coverage and GDPR posture tilt the call.
5. Is your budget self-serve or enterprise? Aidentified means a sales call; Kaspr and Tomba let you start today.

Most teams find their answer in the first two questions. The mistake is buying a relationship-intelligence platform when you needed a list of inboxes, or a LinkedIn extension when you needed a propensity model.

The bottom line#

Aidentified and Kaspr aren't really competitors — they're tools for different stages of the same goal. Aidentified gets you to the right person with a warm path and a propensity score. Kaspr gets you to the person's phone fast. Choose based on whether your edge is relationships or speed.

But if you strip the question down to "I need accurate, verified business emails without an enterprise contract or per-profile clicking," start with the Tomba Email Finder. Search by domain or name, get verified addresses with confidence scores, and run them through built-in verification before they ever hit a sequence — on a free tier you can test today and plans that start at $49/mo. Match the tool to the job, verify before you send, and your pipeline (and sender reputation) will thank you.