CogniLead vs Apollo: per-send beats per-seat for EU founders

Apollo and CogniLead are not the same category of product, even if buyers see them in the same Gartner box. Apollo is a sales-engagement platform sold per seat — a Head of Sales at a 100-person SaaS buys it for a 5-50 SDR team and gets a 270M-record contact database, sequencing, a dialer, native Salesforce sync, and a manager dashboard. CogniLead is a per-send signal-first engine sold to a technical founder doing dev-to-dev outbound where the audit chain has to survive an EU DPO review.

The most common confusion: a Head of Sales evaluating EU compliance asks "why don't we just bolt SCCs onto Apollo and call it done?" The answer is that a 270M-contact roster with no per-record Legitimate Interest Assessment fails Article 5(1)(b) purpose limitation in a way SCCs do not fix. The structural fix is signal-first ingestion. That is the wedge.

We list Apollo's wins honestly in section 5. If you have 10 SDRs, a dialer requirement, and a Salesforce-resident pipeline, Apollo is correct. If you are an EU technical founder with one or two operators and an audit-anchored compliance posture, the comparison is not even close — CogniLead wins on every dimension that matters to your motion.

Apollo's published tiers at the time of writing: Basic at $59/seat/month, Professional at $99/seat/month, Organization at $119/seat/month with a 3-seat minimum, and a Custom Enterprise tier. Each tier bundles a fixed monthly credit allowance for email and mobile-number reveals. CogniLead: $0 Free (100 sends), $79 Starter (2k sends), $399 Growth (10k sends), $1,499 Scale (40k sends), Enterprise on request. Annual prepay knocks 15% off the base — see pricing.

The honest TCO math at the tier most EU founder-led teams pick: 5 SDRs on Apollo Professional is roughly $495/month in seat fees alone (5 × $99) before enrichment credit top-ups; CogniLead Growth at 20k sends/month is $399 + (10,000 × $0.035) = $749/month flat regardless of headcount. At the raw 20k-send axis Apollo is cheaper sticker. At 5-SDR per-seat scale-up to 8 SDRs the comparison flips — Apollo crosses $792/month and CogniLead is unchanged because we never charge per seat.

The pricing axis matters beyond the math. Per-seat invites the buyer to add reps to extract more value from the bundle, which is exactly the volume-gaming Apollo's deliverability team spends a chunk of its quarter putting fires out for. Per-send aligns the price you pay with the value the engine delivers — a defended send. We argue per-send is the right unit for any team where the operator and the buyer are the same person.

This is the section EU buyers fast-forward to. Apollo's wedge is the contact database — 270M+ records, sourced from a mix of web crawl, public LinkedIn, partner data, and user- contributed contacts. The database is the product. Under GDPR this posture is structurally hard:

• Article 6(1)(f) legitimate interest requires a balancing test per data subject. A 270M-record roster inherited at purchase time has not had that balancing run against each record by the current controller. The standard Apollo response is "our customers run their own LIA against the targeting they apply." That is true for the targeting step; it does not retroactively cure the original collection.
• Article 5(1)(b) purpose limitation requires personal data to be collected for specified, explicit, and legitimate purposes and not further processed in a manner incompatible with those purposes. A database designed for cross-customer reuse — the same record served to Customer A for selling DevOps tooling and to Customer B for selling financial-services compliance — strains the purpose-limitation argument on its face.
• Article 14 notice to data subjects obliges a controller that did not collect data from the subject to inform the subject within one month. Database-resident contacts have effectively never received that notice; shifting the obligation to the customer is a transfer, not a cure.
• Recital 47 reasonable expectation is the balancing-test fulcrum. A corporate engineer reasonably expects vendor outreach when their job post mentions a stack; they do not reasonably expect to be on a 270M-row roster sold to N enterprise customers. The expectation gap is what makes the LIA narrative hard for a roster-first product.

CogniLead's posture sidesteps the database problem entirely. We do not maintain a cross-tenant contact database. Each tenant's leads are produced by signal pollers running against public artifacts (HN, GitHub, jobs boards, fundraise press) for that tenant's targeting. The lawful basis is per- tenant, per-purpose, per-lead — exactly the shape Article 6(1)(f) assumes. See our LIA playbook for the seven-element template we ship at /legal/lia.

The other axis a DPO will probe is EU-resident inference. Apollo's AI Writer processes recipient context against US-region LLMs. CogniLead routes EU recipients to Mistral or Infomaniak in-Europe inference by default. See §5 in the spec for the routing rules.

Apollo's product surface is shaped around the buyer Apollo sells to: a Head of Sales at a 100-person SaaS who needs to coordinate 5-50 reps, push numbers up an org chart, and prove attribution to a CFO. The native Salesforce sync, the rep- leaderboard analytics, the manager-approval workflows on sequences, the dialer with call recording — those are not incidental features; they are why a Head of Sales picks Apollo.

CogniLead's product surface is shaped around a different buyer: a technical founder or solo growth operator at a 5-20-person EU SaaS who writes code in the morning, sends cold outbound in the afternoon, and needs the audit chain to survive their DPO's review without a week of legal back-and-forth. The MCP server, the JSON-schema personalization model, the BYO-CRM webhook posture, the dense docs at /docs — those reflect a buyer who treats their outbound tool the way they treat their IDE.

This is why per-seat vs per-send is more than a billing preference. The Head of Sales adds seats to grow output; per- seat is the natural price. The technical founder ships one or two operators and grows output by improving the engine itself; per-send is the natural price. Trying to use the same product for both buyers ends in a tool that is too heavy for the founder and too light for the sales org. We picked one buyer and built for them.

The database wedge is real but commoditising. In 2018 a 270M-contact roster was a defensible moat. In 2026 the underlying primary sources — LinkedIn public profiles, web crawls, partner data — are reachable by anyone with a modest engineering budget, and the legal posture around buying or renting those rosters keeps tightening. Apollo and ZoomInfo and Lusha and the rest are converging on roughly the same coverage with roughly the same staleness. The differentiation moves elsewhere.

CogniLead's wedge is what we collect that a roster does not contain — high-intent behavior signals from public artifacts that surface, at observation time, that a target company is actively building in your domain and lacks capacity. A GitHub repo with a fresh swissqrbill dependency is a higher-intent signal than "this person works in fintech." A job post on HN Hiring asking for FHIR experience is a higher-intent signal than a tech-stack tag on a firmographic row. See our signal extraction playbook for the public artifacts we mine and how.

The asymmetric replication cost matters. Pairing Apollo with a third-party signal tool (Common Room, Pocus) gets close to CogniLead's ingestion posture — at the cost of three more contracts and a custom integration. Pairing CogniLead with a dialer gets close to Apollo's sales-org posture — at the cost of one Aircall contract. The wedge that is harder to replicate is signal ingestion, because the engineering discipline to write and maintain the pollers is the actual product. See §3 of the spec for what shipping that discipline looks like.

Apollo built a great product for the buyer Apollo built itself around. We are not going to compete on those features and we are not going to spin that we will. Today, Apollo beats us on:

• Sales-org scale. 5+ SDR teams with manager hierarchy, rep leaderboards, manager-approval workflows on sequences. CogniLead ships none of those. We do not plan to.
• Dialer integration. Apollo Conversations ships click-to-call, power dial, and call recording. Outbound calling is a real surface we do not address.
• Existing enterprise contracts. If your company already has an Apollo Enterprise contract and your Salesforce instance is wired to it, the procurement cost of switching is higher than the per-month price delta. We do not argue with that math.
• 270M-record database for cold prospecting at firmographic scale. If your motion is "find every CTO at a SaaS in the US with 50-500 employees," Apollo ships that lookup faster than our signal pollers will. The database matters when the signal is "anyone with this job title."
• Native Salesforce / HubSpot / Outreach sync. CogniLead offers webhook + REST. Apollo offers bidirectional object sync. For a Salesforce-resident pipeline, Apollo's sync is closer to native than anything we will ship in 2026.

CogniLead does not win those buyers and we do not try to. The pieces of our product surface we will compete on at the high end are the audit chain, the EU inference, and the signal wedge. Everything else, we cede honestly.

Pick Apollo if you are running a 5+ SDR sales org that lives in Salesforce, your buyer is a US Head of Sales, your motion includes outbound calling, and the per-seat economics scale for your team. Apollo built itself around your buyer and your motion; you will be well served.

Pick CogniLead if you are a technical founder at an EU SaaS, your buyer is the engineer you want to reach, the audit chain is part of the deal, and you grow output by improving the engine rather than adding reps. The per-send economics, the signal-first ingestion, and the Chainlog-anchored evidence pack are the artifacts your DPO will sign off on in one call.

Pick both if you run a multi-region motion where the EU lane needs the compliance posture and the US lane needs the sales-org features. Apollo for US, CogniLead for EU. The CSV-export contract for suppression lists and sender domains makes the handoff cheap.