Why so many teams start with Apollo
Apollo is a sales intelligence and engagement platform. In one product you search a large database of B2B contacts and companies, enrich your CRM, build sequences and call from a built-in dialer. It also offers buying intent data that flags accounts showing interest in topics you choose. There is a free plan; paid plans are priced per user and use credits for exports and enrichment (Apollo pricing, how Apollo credits work).
That mix is hard to beat for a self-serve start. A founder or a first SDR can find contacts, write a sequence and send it the same afternoon, without a procurement process or an annual commitment.
So an Apollo alternative rarely replaces all of Apollo. It usually replaces one job that Apollo does well enough for most teams but not well enough for yours. This page is organized around those jobs. It then gives you a data test to run before you sign anything, and a checklist for the move itself.
What do teams want when they leave Apollo?
Apollo alternatives fall into groups because people leave for different reasons:
- Different coverage. Mobile numbers, a specific country or region, or a niche industry where one database is thinner than another. Always test data on a sample of your own accounts.
- Compliance requirements. Teams selling into Europe often want a provider that documents how its data is collected and handled under GDPR.
- Custom enrichment. RevOps teams that need data points no database stores, such as a detail from a pricing page or a keyword in a job post, build their own enrichment.
- Timing. Filters tell you who fits. They do not tell you who has a reason to buy now, which is the gap that intent data and buying signals try to close.
- A cleaner split of jobs. Some teams prefer one tool for data and another for sending and deliverability, instead of one platform for both.
- Usage planning. Exports and enrichment draw on credits. Teams that pull large lists every week map their real monthly usage against the allowance before they renew or compare a competitor.
Which Apollo job are you actually replacing?
Write down what you use Apollo for in a normal week before you book a single demo. The answer decides which alternative deserves your time, and it often shows that you only need to replace one piece.
| Job Apollo does for you | What to check in a replacement | Where to look |
|---|---|---|
| Searching and exporting contacts by filters | Coverage of your exact titles, company sizes and regions | ZoomInfo, Lusha, Seamless.AI, or keep Apollo |
| Mobile numbers for cold calls | How numbers are verified, and how many connect on your own test list | Cognism, Lusha |
| Enriching CRM records | Field mapping, refresh schedule, and what happens when no provider has a match | Clay, ZoomInfo |
| Sequences and email sending | Inbox limits, warmup, bounce handling and reply management | A dedicated sender (see our Instantly alternatives) |
| Deciding who to contact this week | Whether each lead arrives with a reason and a source you can check | Apollo or ZoomInfo intent data, or Startories signals |
Six Apollo.io alternatives, by the job they do best
Startories: who to contact this week
Startories does not sell a database. It watches public sources for buying signals (a recent funding round, a launch, a hiring post, a complaint about a competitor), resolves each one to a company, checks it against your ICP and verifies the decision-maker's business email. Then it writes and sends the outreach and sorts the replies. It is the AI lead generation option for teams that want fewer contacts, each with a reason.
- Best for: founder-led B2B, agencies and small sales teams whose buyers leave public traces when they need something.
- Limits: no search-and-export database, no dialer, no LinkedIn automation; monthly lead volume set by plan.
ZoomInfo: enterprise data and intent
ZoomInfo is the enterprise reference for company and contact data, with intent signals and many add-ons, typically sold on annual contracts (ZoomInfo pricing FAQ). Best for: large sales and marketing teams with the budget for a full platform. Before you sign, ask which add-ons your use case needs and how seats and renewals work. We compare the two in Apollo vs ZoomInfo, and list other options on ZoomInfo alternatives.
Cognism: phone-verified data and EMEA coverage
Cognism is known for phone-verified mobile numbers, which it sells as Diamond Data, and for strong European coverage. It publishes its approach to data compliance. Best for: teams that call prospects and sell into Europe as well as North America.
Lusha: fast contact lookups
Lusha is a contact data tool with a browser extension that shows emails and phone numbers while you browse profiles and company sites (Lusha extension). Usage is counted in credits (how Lusha credits work). Best for: reps who need a few accurate contacts a day rather than large list exports.
Seamless.AI: contact search on demand
Seamless.AI searches for contact details in real time and offers email and phone finders plus a browser extension (Seamless.AI). Plans combine licenses and credits (Seamless.AI credit and license types). Best for: individual sellers who prospect by hand and want details for one contact at a time.
Clay: build your own enrichment
Clay pulls data from many providers into one table and lets you design the enrichment yourself (Clay). Best for: RevOps and growth teams with someone to build and maintain workflows. See Clay vs Apollo and our Clay alternatives.
Apollo alternatives side by side
| Tool | Main job | What to test first | Best for |
|---|---|---|---|
| Apollo.io | Database, sequences, dialer and intent in one | Coverage of your titles, and how fast credits run down at your volume | Self-serve teams that want one tool |
| ZoomInfo | Enterprise company and contact data, intent, add-ons | Which add-ons you need, and the contract terms | Large sales and marketing teams |
| Cognism | Phone-verified mobiles, European coverage | Connect rate on a sample of your own prospects | Teams that call, in Europe and North America |
| Lusha | Quick contact lookups in the browser | Hit rate on the profiles your reps actually visit | Reps who need a few contacts a day |
| Seamless.AI | Real-time contact search | Accuracy on hard-to-find contacts in your niche | Individual sellers who prospect by hand |
| Clay | Custom enrichment from many providers | Whether someone on your team can build and maintain tables | RevOps and growth engineers |
| Startories | Signal-triggered outreach, end to end | Whether your buyers leave public signals, using one funnel | Founders, agencies and small teams that want timing |
Reach companies with a reason to buy this week
Startories finds the buying signal, verifies the decision-maker and runs the outreach until they book a call.
How do you test a data provider before you switch?
Vendor demos show their best searches. Your test should use accounts you already know, where you can tell a right answer from a wrong one. You can run this in a week, with a free plan or a trial seat from each vendor that offers one.
Pick 100 accounts you know well
Mix closed-won customers, open deals and lost deals. You know who the real buyer was at each, so you have an answer key before you start.
Ask every provider for the same roles
For example: founder or CEO, head of sales, head of marketing. Use the same filters in each tool so the results can be compared.
Score each result against your answer key
Right person, right title, still at the company. Mark wrong or stale contacts honestly; a confident wrong answer costs more than no answer, because someone writes to it.
Verify before you send anything
Run every address through verification and keep only valid ones. Never test from your main domain; the cold email deliverability guide explains the safe setup.
Compute cost per usable contact
Divide the monthly price you were quoted by the number of usable contacts you would get at your real volume. That number compares better than a list price.
A worked example (illustrative numbers, not a benchmark)
Say provider A returns a contact for 88 of your 100 accounts, and 71 of them are the right person with a valid email. Provider B returns 95 contacts, but only 64 are right and valid. B looks bigger; A is better, at 71% usable against 64%.
Now price it. If A quotes $1,200 a month for 600 contacts, 71% usable gives about 426 usable contacts, or roughly $2.80 each. Run the same math on B's quote before the logo or the database size sways you. If you also score leads, our lead scoring guide shows how to weigh fit against timing.
What changes for each role when you switch?
Apollo often sits at the center of a small team's day, so replacing it changes more than a login. Plan the change for each person before you cancel anything.
| Role | With Apollo today | With a specialist data tool | With Startories |
|---|---|---|---|
| Founder | Builds lists and sequences between other work | Same work, with better data in one area | Reviews leads, their reasons and first emails, then takes the calls |
| SDR | Searches, exports, sequences and calls in one place | Moves between a data tool and a sender | Works classified replies instead of building lists |
| Account executive | Gets meetings from SDR sequences | No change if the handoff stays the same | Gets meetings with the triggering event noted for the first call |
| RevOps | Maintains the CRM sync and watches credit usage | Owns a new integration and field mapping | Connects the CRM on Scale, or works inside Startories on other plans |
Apollo.io vs Startories
Here is what the difference looks like in an inbox. Suppose you sell a hiring assessment to B2B startups, and a 20-person SaaS company posts openings for its first two SDRs.
A filter-based email might open with "I see you're a growing SaaS company in Austin." That is accurate, and true of thousands of companies, so it gives the reader no reason to answer this week.
A signal-based email opens with "Saw the two SDR openings you posted on Monday. The first sales hires are the ones a team can least afford to get wrong." The first sentence is a dated fact about them; the second connects that fact to the problem you solve. Our page on hiring signals has more angles for this trigger, and Startories drafts openings like this one from the signal itself.
| Apollo.io | Startories | |
|---|---|---|
| Core idea | Search a database, then sequence the contacts you pick | Wait for a buying signal, then contact the right person about it |
| Data source | Apollo's B2B contact and company database | Public signals from Reddit, X, Product Hunt, directories and niche search results |
| How timing is handled | Filters, plus intent data on topics you choose | Each lead starts from a dated public event, with a link to it |
| Who writes the emails | You, with AI writing help | Startories, around the triggering event; you can approve each one |
| Sending infrastructure | The mailboxes you connect | Dedicated, warmed-up inboxes on separate domains with daily caps |
| Reply handling | You handle replies in your inbox or in Apollo | Replies classified into six types with a suggested answer |
| Pricing model | Free plan, then per user with credits | Per plan, $99 to $999 a month, data and sending included |
| Best for | Self-serve prospecting at scale on a budget | Teams that want timing and context handled for them |
Moving off Apollo: a practical checklist
List the jobs Apollo does for you
Data, enrichment, sequences, dialer, CRM sync, intent. Use the table above; you may only need to replace one or two of them, not the whole platform.
Check your renewal date and seats
Note when your plan renews and how many seats are active, so you can downgrade or remove seats in time instead of renewing more than you use.
Export what you must keep
Download unsubscribes, bounces, active conversations, sequence templates and call notes. Keep the suppression lists active in whatever comes next.
Re-verify old exports
Contacts exported months ago go stale as people change jobs. Re-verify any saved list before you load it into a new tool.
Test data on accounts you know
Run the 100-account test above before you sign anything, and decide on cost per usable contact.
Protect your domain
If you change senders, warm up new inboxes and keep cold email off your main domain. The deliverability guide linked above covers the setup step by step.
Run a short overlap
Keep the old and new setup side by side for a few weeks and compare meetings booked, not contacts exported.
How to start with Startories
If timing is what you miss in Apollo, start with one signal that predicts need in your market, and write down your ideal customer profile before the first funnel. Starter costs $99 a month and covers one funnel and about 250 qualified and enriched leads a month; your first project starts with a 3-day full-access trial for $1. See plans and pricing.
Many teams keep a database for account research and use Startories for signal-triggered outreach. Our guide on how to find B2B leads shows how the two approaches fit together, and the AI SDR page explains what Startories does from signal to reply.
Frequently asked questions
Is Startories a contact database like Apollo?
No. Startories does not let you search and export contacts. It finds companies through buying signals, then finds and verifies the decision-maker and runs the outreach. If you need a database to browse, keep a data provider for that.
Which Apollo alternative suits teams selling into Europe?
Cognism is often chosen for European coverage and phone-verified numbers, and it documents its compliance approach. Test any provider on a sample of your own target accounts before you commit.
Is ZoomInfo better than Apollo?
They serve different buyers. ZoomInfo is built for enterprise teams and budgets, with broad data, intent signals and add-ons. Apollo is self-serve with a free plan. Team size and how you use data decide; see our Apollo vs ZoomInfo comparison.
Does Apollo have intent data?
Yes. Apollo offers buying intent data that flags accounts showing interest in topics you choose. Startories works differently: each lead starts from a specific public event, such as a post, a launch or a job opening, with a link to the original.
Can I use Startories and Apollo together?
Yes. Some teams keep Apollo for account research, calling and manual prospecting, and use Startories for outreach triggered by buying signals. Share suppression lists between the two so nobody is contacted twice.
Does Startories verify emails?
Yes. Only verified business emails are contacted. Bounced and unsubscribed contacts are suppressed across all campaigns, and sending pauses automatically when bounces start to rise.