Satellyte vs Lusha 2026: Signals vs EMEA Contact Data
Satellyte or Lusha in 2026? Signal-driven warm outbound vs EMEA-strong contact data. Different categories, here is when each one wins.
If you are looking at Satellyte and Lusha in the same evaluation, one of them is wrong for your problem. They are not competitors. They are two different layers in the outbound stack.
Different categories
Lusha is a B2B contact database. You search by title, company, geography, technology, and it returns emails and mobile numbers. Its reputation is built on European coverage that ZoomInfo and Apollo never matched, backed by GDPR and CCPA compliance work that most North American vendors treated as an afterthought.
Satellyte is a signal layer. It does not sell you contacts. It watches the open web for hiring posts, funding rounds, tech stack changes, executive moves, and product launches, then tells you which accounts are in a buying window right now. You still need someone to email. That someone usually comes from Lusha, Apollo, or your existing CRM.
Confusing the two is the source of most bad outbound stacks we see. Teams buy a signal tool and expect contact data. Teams buy contact data and expect warm leads. Neither happens.
Data coverage
Lusha's strengths:
- EMEA mobile numbers. This is the flagship. Tested accuracy on UK, DACH, and Nordics mobile is consistently above 80 percent for director-and-above seniority.
- GDPR posture. Subject to the usual caveats around any scraped data, Lusha's compliance infrastructure is the most serious in the SMB tier.
- Chrome extension. The LinkedIn reveal flow is clean and fast, which matters when an SDR is working a list manually.
Satellyte's coverage is a different question because it is not measured in contacts. The relevant metric is signal freshness: how quickly a public signal surfaces after it happens, and how many false positives the classifier admits.
- Hiring signals from 40+ job boards, usually within 24 hours.
- Funding and M&A from multiple news crawlers, same day.
- Tech stack changes via BuiltWith-style fingerprinting, weekly.
- Executive moves from LinkedIn profile diffs, usually within 48 hours.
You cannot compare 80 percent mobile accuracy to 24-hour signal freshness. They answer different questions.
Pricing
Lusha publishes prices. Pro is around $29 per user per month, Premium around $51, Scale is quote-only. Credits are the real cost driver and they reset monthly. Teams that burn through credits end up on annual contracts in the $15K to $40K range.
Satellyte pricing is flat per workspace, not per user, which tends to work out cheaper once a team crosses three seats. For a head-to-head, what matters is that Satellyte is not priced on contact credits. You pay for signal ingestion, not lookups.
Stack recommendation
The honest answer: use both, for different jobs.
- Satellyte finds the accounts that are in a buying window this week.
- Lusha (or Apollo, or Cognism in EMEA) resolves the contact data for the ICP personas at those accounts.
- Your sequencer of choice handles outreach.
If you only have budget for one:
- SMB or mid-market, EMEA-heavy. Lusha wins on the contact side. Add a signal layer when volume outgrows pure database pulls.
- US-heavy, founder-led outbound, under 50 accounts per week. Satellyte wins. Contact data from free tools or your CRM will carry you for a while.
- Enterprise sales, North America. Neither is the right primary tool. You want ZoomInfo plus 6sense.
Caveats
A few things worth flagging that both vendors tend to bury:
- Lusha credits are aggressive. A mobile lookup burns more than an email lookup, and the exact ratio has changed twice in the past year. Budget with a margin.
- Satellyte signal false-positive rate is real. Hiring a VP of Sales is a stronger signal than hiring a generic growth marketer, and the tool does not always distinguish. Human review of the top 20 accounts per week is non-optional.
- Overlap with existing tools. If you already have Cognism for EMEA, Lusha adds less than you think. If you already have Clay or Trigify, Satellyte overlaps on some signal types but not on breadth.
Outbound in 2026 is a two-layer problem. Signals tell you which door to knock on. Contact data tells you who opens it. Satellyte and Lusha are each excellent at one of those layers, and neither is trying to be the other.
Sources
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