data
Lusha vs Apollo: Which One Fits Your GTM Stack
Quick answer: Lusha vs Apollo
Everyone asks this the same way. I need contact data, which one do I buy. Here is the direct answer. Lusha vs Apollo is really a choice between a lookup tool and a full outbound platform. Lusha finds a phone number or email fast, one person at a time, and gets out of your way. Apollo does that too, but it also carries a large contact database, sequencing tools and workflow automation, so the whole prospecting motion can live in one place.
Buy Lusha if enrichment is the job you need done. Buy Apollo if you are trying to run outbound, not just look people up. Updated September 2026. Both tools ship new features constantly, so treat this as a snapshot rather than gospel carved in stone.
Comparison criteria: what actually matters here
Most comparisons of these two tools list every feature either one has ever shipped. That is not useful when you are trying to decide by Friday. We scored both against the things that actually change an outcome for a small team: how accurate the data is, how well it slots into your existing workflow, what it costs as you scale, and whether it holds up for teams selling across borders, particularly out of Africa into the UK or the US.
Data coverage and accuracy
Lusha built its reputation on personal mobile numbers and direct dials, which matters a great deal if your outbound depends on calls, not just email. Apollo leans towards breadth: a database that spans contacts and companies together, so you can build a list and enrich it in the same pass. Neither database is complete for every region, and African contact data in particular tends to be thinner across most vendors, which is a separate problem worth understanding on its own. Our guide to data enrichment tools for GTM covers that gap in more depth.
Workflow and integrations
Lusha sits nicely as a browser extension and a Chrome side panel. You find a person, you pull the number, you move on. Apollo is built to be the workflow: sequences, task lists, a CRM sync, and enough automation that a small sales team can run its entire outbound motion without leaving the tool. If your process already lives in HubSpot or Pipedrive, our comparison of HubSpot and Salesforce is worth reading before you decide where Apollo or Lusha should plug in.
Pricing and scaling
Lusha prices around credits for lookups, which stays cheap if your team only needs data occasionally. Apollo prices around seats and usage tiers that bundle data with the sending and sequencing layer, which gets expensive fast if you only wanted the database. Neither vendor publishes pricing that survives contact with a real negotiation, so treat any number you see online as a starting position, not a quote.
Fit for teams operating between Africa and the UK
This is where most comparisons stop short, because most comparisons are written for teams that sell entirely within one market. If you are running outbound from South Africa or Kenya into the United Kingdom, the question is not just which tool has better data. It is which tool copes with the fact that your prospects sit in a different time zone, a different regulatory frame, and a contact data ecosystem that was not built with your market in mind.
Lusha vs Apollo side by side
A table settles more arguments than a paragraph does.
| Criteria | Lusha | Apollo | |---|---|---| | Core strength | Fast, accurate personal contact lookup | Combined database and outbound platform | | Best data type | Mobile numbers and direct dials | Company and contact data together | | Workflow | Browser extension, lightweight | Sequences, tasks, full outbound workflow | | CRM fit | Syncs contact data into your CRM | Can partly replace parts of your CRM workflow | | Pricing shape | Credit based, scales with lookups | Seat and usage based, scales with the team | | Learning curve | Low, useful within minutes | Moderate, most value appears once workflows are set up | | Best fit | Small teams doing targeted, manual outreach | Teams running structured, repeated outbound at volume |
If you want a broader view of where Apollo sits against the other major database, our Apollo vs ZoomInfo comparison covers that specific fight in full.
Where each tool wins
Neither tool is bad. They are built for different shaped problems, and the honest answer changes depending on which shape you are.
Where Lusha wins
Lusha wins when the job is precision, not volume. A recruiter chasing a single candidate's direct line. A founder who needs three warm introductions this week, not three hundred cold ones. A small agency team that enriches a handful of records a day and does not want to pay for a platform they will only half use.
- You need accurate mobile numbers more than you need a full sequencing tool
- Your team is small enough that manual lookups do not create a bottleneck
- You already have a CRM and outbound tool, and just need better data feeding into them
- You want a low commitment way to test whether better contact data actually improves your reply rate
Where Apollo wins
Apollo wins when the job is scale and structure. A team building a repeatable outbound motion that needs the same steps run against hundreds of prospects a week. A revenue team that wants one tool covering the database, the sequence, and the reporting on both.
- You are building a full outbound system, not doing occasional lookups
- You want sequencing, database and reporting under one roof
- Your team is growing fast enough that a patchwork of point tools starts costing more in coordination than it saves in price
- You need one tool your whole sales team can be trained on quickly
Krige Holdings cut coordination time by 65% once their systems stopped requiring manual handoffs between tools, according to our case study. That is the pattern worth noticing. The tool matters less than whether it removes a handoff or adds one.
So which one should you actually buy?
If you are still undecided at this point, the honest test is not another feature list. It is one question. Are you enriching records, or are you running a campaign. Enriching records is a Lusha problem. Running a campaign end to end, with sequences, follow ups and reporting, is an Apollo problem.
There is a third answer nobody selling you a tool will offer, which is that the tool is rarely where outbound actually breaks. NjiaPay analysed over 500 payment gateway accounts to sharpen their targeting and got a reply rate above 10% on signal led LinkedIn outbound, according to their case study. RightSide Entertainment moved from a 0.9% response rate to 7.1% across 800 plus decision makers in six segments, according to their case study. Neither result came from switching data vendors. Both came from sharper targeting sitting on top of whichever data source they used.
Does the answer change if you are selling from Africa into the UK?
Slightly, yes. Contact data coverage for African markets is uneven across every vendor we have tested, Lusha and Apollo included, which is a separate limitation worth planning around rather than hoping away. If your buyers sit in London or Manchester and your team sits in Cape Town or Lagos, the database quality for your targets is usually fine, since UK contact data is well served by both tools. The harder problem is usually the workflow around time zones, sequencing cadence, and how quickly a lead gets a human response once it lands.
What we see in practice
Frontrunners cut their shortlist time from days to about one hour and tripled database activation once their scoring and enrichment sat inside one connected system rather than three disconnected tools, according to our case study. Krige Holdings also cut data errors by 80% while adding zero headcount, according to the same case study. That is the actual lever. Pick a contact tool, then build the system around it properly, rather than hoping a better database fixes a process that was never designed in the first place. Our guide to lead list building walks through what that system usually needs to include.
The verdict
Pick Lusha if your team is small, your need is a fast and accurate lookup, and you already have somewhere for that contact to land. Pick Apollo if you are building an outbound motion with real volume and want the database, the sequencing and the reporting under one login.
Neither choice fixes a targeting problem, a positioning problem, or a follow up process that quietly drops leads on the floor. Over 96% of pages get no organic traffic from Google at all, according to Ahrefs' study of 14 billion pages, and an AI Overview appearing in the search results costs the top organic result about 58% of its clicks, according to Ahrefs. None of that has anything to do with which contact tool you buy. It is a reminder that the tool is one part of a much bigger machine, and the machine is usually the thing worth fixing first.
If you want help thinking through the machine rather than just the tool, our services cover exactly this, and our AI page covers how automation fits around whichever data source you choose.
FAQ
Is Lusha or Apollo better for finding phone numbers?
Lusha is generally stronger here, since direct dials and mobile numbers are its original focus. Apollo has improved its phone data over time but its core strength is still the combined database and workflow, not phone accuracy alone.
Can I use Lusha and Apollo together?
Yes, and some teams do exactly that, using Lusha for targeted lookups on high value accounts and Apollo for the broader sequencing and volume work. It adds cost and one more tool to manage, so it only makes sense once your outbound volume justifies the overlap.
Which one is cheaper for a small team?
Lusha tends to cost less for a small team that only needs occasional lookups, since its pricing is credit based rather than tied to a full seat. Apollo becomes better value once you are actually using the sequencing and workflow parts of the platform, not just the database.
Does either tool work well for African contact data?
Coverage for African markets is patchy across most vendors, Lusha and Apollo included, and it is worth testing both against your actual target list before committing. Our guide to data enrichment tools goes into which tools tend to handle this better and where the gaps usually sit.
What if neither tool solves my actual outbound problem?
That is more common than either vendor would like to admit. If your reply rates are low regardless of which database you use, the issue usually sits in targeting, segmentation or follow up, not contact accuracy, and our resources on go to market consulting are a reasonable next stop.
Choosing between Lusha and Apollo is a smaller decision than it feels like from inside a comparison table. Get the data source right enough, then spend your actual energy on the system that turns a contact into a conversation. That is the part almost nobody automates properly, and it is the part that decides whether either tool was worth buying at all.
