Tooling
Apollo alternatives when the database is not your problem
Short answer
If you can already name the people you want to reach and the only thing missing is an address or a phone number, move to another database and pick on price and coverage. Hunter and Snov are the sensible answers when you need verified addresses at companies you can already name. Lusha and UpLead are reasonable when you need a smaller number of clean records and phone numbers matter to you. All four publish their pricing, the comparison takes an evening, and you do not need an article to run it.
This page is about the other case, which is more common, and which nothing else on this search result does anything with.
Apollo is two products in one subscription
The first is a contact database: records for people and companies, with filters over them. The second is a sending layer, meaning sequences, mailboxes, tracking, and a light CRM wrapped around the whole thing.
Almost every alternatives page compares the first product only, on record counts and price per seat. That is an easy comparison to write, and it is why the entire result page is made of it. It is also the wrong comparison for a good share of the people running it, because a fair number of them are not unhappy with the records. They are unhappy with what came out the other end.
Two problems that sound the same
A database problem sounds like: I know exactly who I want to contact and I cannot reach them.
A selection problem sounds like: I have four thousand names and no defensible way to pick ten to write to this morning.
Both leave your mouth as I need better leads. Only the first one is fixed by buying a different database, and buying a different database is what nearly everybody does, because that is the product the question implies.
The test uses something you already have. Open your last export, go down the first fifty rows, and count how many of those people you could write one true sentence about that would not be equally true of the other forty-nine. If the count is high, your problem is reach and this is a straightforward shopping decision. If the count is zero, the file was never the solution, and a cheaper file will not be one either.
The arithmetic of a bigger file
The numbers below are hypothetical and are here to show the shape. Substitute your own.
You export four thousand matching records. You have an hour a day for this, because you also run the business. Reading enough about one person to write a sentence that is true of them and of nobody else takes roughly three minutes, so an hour buys you twenty names.
Four thousand names at twenty a day is two hundred working days. That is most of a year to get through one export, by which point a real share of the records have gone stale, because people change jobs continuously and every record is a snapshot of the day it was assembled.
So nobody does that. What happens instead is that the file goes into a sequence at two hundred a day and everyone receives the same message, because the same message is the only thing that scales to two hundred. Call the reply rate you get r.
Now switch databases. You get four thousand different records, at two hundred a day, with the same message, and the same r. One line changed and it was the invoice.
That is the mechanism behind the complaint that switching tools changed nothing. The constraint was the hour, not the number of people the software could reach.
Run it the other way and the picture flips. Say you can name sixty people you genuinely want to talk to, and a database finds working details for forty of them. Forty people went from unreachable to reachable, your hour is unchanged, and the subscription paid for itself in the first week. That is a database problem, and every tool below solves it properly.
If it is a database problem, here is the shortlist
| Option | What it is for | Entry price, checked September 22, 2026 | When it is the right move | Check before you pay |
|---|---|---|---|---|
| Hunter | Finding and verifying addresses at a domain | Free tier of 50 credits a month; Starter listed at $49 a month for 2,000 credits | Your list is companies and you need the right person inside each one | Coverage on your real target domains, using the free tier |
| Snov | Address finding and verification with a sending layer attached | Free trial with 50 credits; Starter $39 a month | You want to leave Apollo's sequencer as well as its records | Whether the sending side is good enough to replace what you have |
| Lusha | Individual records including phone numbers, one at a time via an extension | Free tier of 40 credits a month; Starter $49.90 a month for 400 credits | Volume is low and phone matters more than email | The credit arithmetic at your real monthly volume |
| UpLead | A database whose own pitch is verification at the moment you export | Seven-day trial with five credits; Essentials $99 a month for 170 credits | Bad addresses have already cost you something | Run a sample against a segment you know well |
| Apollo on a smaller plan | The same product, sized correctly | Apollo shows a figure only once you pick a billing term, so read it in your own checkout | You are paying for seats and volume you do not use | What you would lose, and the weeks a migration costs |
Those are the list prices on each vendor's own pricing page on September 22, 2026, taken with monthly billing selected. Hunter was running a promotion that showed $34 instead of $49 the day we looked, annual billing lowers all four, and a credit at one vendor does not buy the same thing as a credit at another. Treat the column as a starting order of magnitude and price your own volume in the checkout.
The last row is the one nobody writes, and it is right more often than the category admits. Migration carries a cost that never appears in a comparison table: rebuilt sequences, broken integrations, and a fortnight of relearning where everything is. If the complaint is price, downgrade first and see whether the complaint survives.
You will notice there are no bounce-rate figures next to any of these. The numbers that circulate come from forum threads and from competitors, we have not measured any of these products ourselves, and an average accuracy figure tells you nothing about the fifty names you actually intend to contact. Run a sample against a segment you know, and count it yourself. That figure is about your market rather than the average of everybody's, and it is the only one worth acting on.
Why a database cannot fix a selection problem, in principle
This is not a swipe at the category. It is a structural point about what a database can hold.
A database stores attributes: title, headcount, industry, location, technologies in use. Attributes are durable by design, because a field that changed hourly would be unmaintainable and unsellable. Durability is also exactly the property that makes an attribute useless as a reason to write to somebody. Anything that has been true of a person for the last eighteen months is equally true of everyone else carrying the same attribute, which is a category match rather than a reason. What that distinction does to the order of your list is the whole of how to prioritize sales leads.
What you need in order to write to a specific person today is something that was not true last month. They said the thing out loud. Someone new took over the function that owns it. Something changed upstream of the problem you fix. None of that is an attribute, so none of it is in the file, so no migration will produce it.
It is also why bolting a writing layer on top does not rescue it. Drafting was never the missing part, which is the argument in are AI SDRs worth it, and a model asked to invent a reason for a name will happily invent one.
Where we fit, and where we do not
Trendle is a selection tool. It watches for the LinkedIn posts your buyer is likely to be reading, takes the people who reacted and commented on them, and returns a short daily list where every name carries the reason to contact it. We hold no contact database: an email address or phone number is looked up for one person at a time, when you ask for it. We are not an Apollo replacement in the sense most people mean when they type that phrase.
So here is the disqualification, stated plainly, because the wrong customer costs both of us more than the sale is worth.
Do not buy us if you send hundreds of messages a day. The whole argument here is that volume and reasons trade against each other. If your economics genuinely work at volume, that is a bad trade to make, and Apollo or one of the four above is the correct purchase.
Do not buy us if you sell by title into large organisations. When the decision runs through procurement and a committee, and the org chart matters more than anything one person said in public, a database with good filters over that chart is the right instrument. We are not it.
Do not buy us if your buyers are not on LinkedIn. Trades, local services, most of manufacturing, and plenty of regions. The method has nothing to read.
And do not buy us if what you need is contact details for a named account list. That is a database problem, described at the top of this page, and it already has four good answers.
The short version
Most people typing apollo alternative want a cheaper phone book, and for a good share of them a cheaper phone book is the right purchase. Hunter or Snov for addresses at companies you can already name. Lusha or UpLead for fewer, cleaner records where the phone number matters. Apollo on a smaller plan far more often than anyone says.
Everyone else is trying to fix a selection problem by changing suppliers, and that never resolves, because both suppliers are selling the same thing. Read fifty rows of your last export first, and count the ones you could say something true and specific about. That number is the entire diagnosis, and it costs an evening instead of a migration.
Related: should you buy a lead list covers the same fork from the other side, for people about to spend money on names rather than on a subscription.
Questions people ask next
- Is Apollo worth it for a solo founder?
- It is worth it if you use both halves of what it sells, meaning the records and the sending layer, and if your volume justifies the seat. Solo founders often pay for a plan sized for a team and then use a fraction of it. Before migrating anywhere, check what a smaller plan costs, because downgrading takes an afternoon and migrating takes weeks.
- What is the cheapest alternative to Apollo?
- For finding and verifying addresses at companies you can name, Hunter and Snov are usually the cheapest honest answers, and both have free tiers large enough to test coverage on your real targets. Cheapest is the wrong question if your monthly volume is small, though, since credit-based tools like Lusha can cost less in practice than a flat subscription you barely touch. Do the arithmetic at your actual volume rather than on the headline price.
- Do I need a B2B contact database at all?
- Only if reaching people is the thing you cannot do. If you already know who you want and cannot get an address, a database solves that directly and is cheap relative to the time it saves. If you are looking at a database to tell you who to contact, it cannot, because it stores durable attributes and a reason to contact somebody today is by definition not durable.
- Why did switching from Apollo not improve my reply rate?
- Because the new database supplies the same kind of thing the old one did: names matched on attributes, at a volume you cannot read. If your message was the same for everyone before the switch, it is the same for everyone after it, and the reply rate follows the message rather than the vendor. The only line that changed is the invoice.