Skip to content

Apollo data enrichment: how it compares to Cognism and Clay

Apollo’s data enrichment fills in missing lead and account details, such as job titles, emails and company data, using CRM sync, CSV uploads or its API, powered by a waterfall model that checks multiple third-party providers in sequence. Clay offers similar waterfall flexibility for technical RevOps teams, while Cognism uses a single verified source instead, with phone-verified mobiles, compliant-by-design data and transparent pricing built for revenue teams that can’t risk inaccurate data.

At a glance

  • Apollo bundles enrichment inside a broader sales engagement platform, using a waterfall model that pulls from multiple third-party vendors.

  • Poor data quality now costs organisations millions a year, and is one of the biggest barriers to scaling AI initiatives.

  • Cognism uses a single verified source instead of a credit-based waterfall, with phone-verified mobiles and transparent, per-contact pricing. 

Continue reading

Apollo.io is a well-known B2B data platform, but how does its data enrichment actually hold up in practice, and how does it compare with other providers?

Poor data quality already costs many organisations millions a year. According to IBM's research, 43% of chief operations officers now rank data quality as their top data priority, and data accuracy concerns are cited by 45% of business leaders as a leading barrier to scaling AI. Getting enrichment right matters more than ever, so this article examines Apollo's data enrichment capabilities, strengths, and weaknesses, and compares it to Cognism and Clay.

“Each week, I save 8-10 hours from being able to remove duplicate records on Salesforce and any emails that aren’t 100% verified.”
Jack Brewster_Sparta Global
Jack Brewster
Digital Marketing Manager @Sparta Global
50-60%
increase in open rates.

 

What is Apollo enrichment?

Apollo enrichment is designed to fill in missing details for leads and accounts, from email addresses and job titles to company attributes. It's available through manual updates, CSV uploads, and CRM sync with tools like Salesforce and HubSpot.

Here are Apollo's current core B2B data enrichment features:

  • CRM enrichment: Enrich contact and account records directly inside your CRM.
  • Waterfall enrichment: If one source can't confirm a data point (like a mobile number), Apollo checks multiple third-party providers in sequence until it finds a match. Cognism takes a different approach – more on that below.
  • CSV enrichment: Upload a CSV file of leads or accounts into Apollo, and the system will add missing information.
  • Enrichment API: Apollo provides an API endpoint so enrichment can be integrated programmatically.

How does Apollo enrichment work?

Apollo advertises "AI for sales" as a headline feature, using artificial intelligence to recommend contacts, update information, and enrich CRM records. This includes:

  • Auto-filling fields based on behavioural data.
  • Suggesting similar leads based on your saved lists.
  • Scraping publicly available data (e.g. company websites).

These tools help automate repetitive tasks and provide sales teams with streamlined workflows for targeting prospects.

Apollo also uses a waterfall enrichment model, which means data can come from multiple third-party vendors. This adds flexibility, but it also means verification methods vary across providers, credit costs fluctuate depending on the data source, and standards of compliance may differ between vendors.

Now, let's take a look at the pros and cons of Apollo.io enrichment.

Pros and cons of Apollo enrichment

Pros

Cons

Works through CRM sync, CSV uploads, or API.

Mobile numbers and some enrichment types may consume credits quickly, which may add up.

Connects with Salesforce, HubSpot, and other platforms for ongoing enrichment.

Waterfall enrichment uses third-party providers; the verification method and compliance standards may differ depending on the vendor.

Offers a free plan with limited enrichment features, making it accessible for small teams to try before committing.

Charges separately for email and mobile enrichment, even for record verification if the record already exists, which means one contact can cost multiple credits.

If you're looking for a data enrichment tool like Apollo.io, consider Cognism. It was built for revenue teams that need accuracy, compliance, and scale without worrying about credit burn.

Don't waste time juggling third-party vendors or burning through credits. With Cognism, you get a single, verified source of truth: verified data that's phone-verified and connect-ready, compliant-by-design data with GDPR, CCPA, and DNC checks in 15 countries, and transparent credits where one contact equals one credit.

“We trialled Apollo, which didn’t produce adequate results. We evaluated ZoomInfo but found the data to be too US-centric, which is why we went with Cognism”
oneupsales
Marc Parsons
SDR Manager @OneUp Sales
60%
closed deals with Cognism’s mobile numbers

Apollo enrichment vs Clay vs Cognism

 

Cognism

Clay

Apollo

Focus

Dedicated enrichment engine for revenue teams.

Workflow automation and RevOps flexibility.

Bundled into Apollo's sales engagement platform.

Waterfall enrichment

No. Single verified source, compliant-by-design.

Yes. Waterfall enrichment from multiple providers.

Yes. Waterfall enrichment across third-party vendors.

Verification

Phone and emails verified, included in all packages.

Varies by provider.

Multi-step via proprietary algorithm and external vendors; charges credits per verification.

Coverage

International coverage includes EMEA, North America, and APAC.

Depends on provider.

US-focused; EMEA coverage available, but specific regions not detailed on their website.

Pricing model

Credit-based, where one contact equals one credit.

Credits vary by provider (2 to 25 per record).

Credits, with separate charges for email, mobile, and verification.

In summary: Clay works best for engineers building complex automations, though credit costs vary by provider. Apollo suits teams that want enrichment inside a sales engagement tool, but credits and vendor reliance may add complexity. Cognism is the strongest choice for revenue teams prospecting into new markets like EMEA.

Learn more about Cognism vs Apollo or Cognism vs Clay.

“We are well-established in the US, India, and Israel, and a few years ago, we decided to penetrate the EMEA market. We knew that Cognism would be the perfect fit for targeting the UK as it’s the market leader in EMEA and the results speak for themselves.”
HEADSHOT_CORALOGIX Assaf Shutan
Assaf Shutan
Regional Sales Manager @Coralogix
3x
uplift in engagement rates

Is Apollo enrichment ready for AI agents?

By 2026, enrichment vendors aren't just being judged on contact counts. They're being judged on how well they ground AI agents in real, verified data, since a growing share of GTM workflows now run through AI assistants rather than manual lookups.

That matters because AI systems inherit whatever data quality problems sit underneath them. According to the same IBM research cited above, data accuracy concerns are already reported by 45% of business leaders as a leading barrier to scaling AI, so an enrichment layer that can't ground an AI agent in trustworthy data becomes a liability rather than a shortcut.

Apollo's waterfall model introduces exactly this risk: verification methods and compliance standards vary by provider, which means an AI agent querying Apollo-enriched data can't always be certain which source, or which standard, sits behind any given field.

Cognism takes a different approach. Cognism's MCP connector gives AI assistants and agents direct, read-only access to the same single, verified, compliant-by-design dataset that powers the rest of the platform, so reps and RevOps can ask for contacts, companies, or account information in natural language, with no waterfall, no varying verification standard, and no guesswork about where the data came from.

Apollo enrichment pricing vs Cognism pricing

Apollo's enrichment pricing is credit-based and tied to its wider sales engagement platform. According to Apollo's own Knowledge Base, waterfall enrichment draws on Apollo's native and third-party data sources, with credit charges that vary by source and a cost preview shown before each enrichment run.

In practice, this means:

  • Separate charges for email enrichment, mobile enrichment, and even record verification (so one record can cost multiple credits).
  • Variable costs depending on the type of data you're enriching.
  • Credit burn risk when workflows or waterfall enrichment consume more credits than expected.

For example, if you want an email and a mobile number enriched for the same contact, Apollo charges two credits, even if the record already exists. Multiplied across larger datasets, costs may escalate quickly. While Apollo does offer free and lower-tier plans, restrictions on mobiles, credits, and features make it difficult for growing teams to scale enrichment without hitting limits.

Cognism, on the other hand, offers pricing with no surprises. You get verified mobiles and emails included in every enrichment, no double-charging for verification (one contact enriched means one contact covered), transparent packaging designed for scalability, and unlimited workflows without extra vendor costs or credit burn.

“I wanted to keep costs down at SUB1, so I was happy to get good deals with TAMI and Apollo. However, they both lacked accurate contact data." “It took me 6 months to realise that I should have implemented Cognism straight away.”
Stevie_SUB1
Stevie Howlett
Director of Business Development @SUB1
Helped generate
7-figure opportunities

Why teams choose Cognism

When it comes to enrichment, revenue teams pick Cognism because it removes the friction, hidden costs, and compliance grey areas that come with credit-based, waterfall models.

BR26_EN_Enrich Automation_Gradient
  • Know where your CRM data is breaking down – the CRM health dashboard gives you a live view of data completeness across your contacts and leads, broken down by persona, segment, and region.
  • New records, enriched automatically – instant enrichment means that as soon as a new contact is created in Salesforce, Cognism automatically fills in missing fields, with no manual step and no delay.
  • Ongoing hygiene, without the admin – scheduled enrichment runs daily, weekly, or monthly, whatever cadence fits your workflow, so priority contacts stay accurate over time.
  • Targeted fixes, when you need them – one-off enrichment jobs let you run a fast, focused update for a specific campaign, region, or contact segment, without disrupting your regular workflows.
  • You control what gets updated – field-level controls mean nothing in your CRM changes without your sign-off, whether locking sensitive fields or opening up safe ones like firmographics.
  • Enrich the records that matter, not all of them – custom criteria and persona filters mean credits go to the contacts most likely to drive pipeline, not wasted refreshing records that were never going to convert.

Enriching stale records saves time and directly impacts revenue: outdated or incomplete data is costly, not just inconvenient. Cognism's data experts can also support more complex use cases through the Connect API and MCP connector, building tailored, scalable integrations that evolve with your data strategy while reducing the risk of technology missteps.

“Our marketing department is in North America, and they use Cognism occasionally for pulling mass lists into HubSpot. The team creates a persona in the WebApp and exports the data to HubSpot to run a campaign. Overall, the read rates are far higher than they were before. The campaigns have been a success, and this wouldn’t have been made possible without Cognism’s data.”
storeforce
Harvey Jaggard-Hawkins
Business Development Director @StoreForce
41%
positive email reply rate

Some of the results customers have seen with Cognism:

  • 70% of database generated with Cognism, 3x faster list building (Lalaleads)
  • 12 hours saved per week per SDR (CEC Marketing)
  • 22% quarterly pipeline growth (Druva, case study linked above)
  • 80% better connect rates and 30% higher data quality (Mollie)
  • 42% increase in EMEA BDR pipeline (Redgate)
  • 60% increase in meeting bookings (SUB1, case study linked above)
  • 23% increase in call connect rate (UpCloud)
“Cognism is really easy to use. Any marketing leads we get from events, webinars, on the website or demo requests, we’ll use Cognism on our Salesforce CRM and enrich the data.” “We've seen the largest marketing closed-won for the financial year.”
Antony Arcan
Antony Arcan
SDR Manager EMEA @Druva
22%
growth in quarterly pipeline

Choose enrichment built for accuracy, not credit burn

Apollo enrichment provides flexibility and good integrations, but its waterfall model means variable standards and credit burn. Clay is excellent for RevOps custom workflows, but credits and compliance vary by provider.

Cognism's enrichment is for revenue teams that can't compromise on accuracy or compliance. With phone-verified mobiles, no wasted credits, and compliant-by-design enrichment, ready for both your CRM and your AI workflows, it's built to power pipeline growth.

Book a demo with Cognism today and see how enriched, precision-targeted data can elevate your pipeline.

Frequently asked questions

Data enrichment in Apollo.io is the process of auto-filling missing data (emails, phone numbers, company info) using Apollo's internal contact database.

Yes, Apollo's data enrichment is AI-powered. It uses automation and AI to enrich records and recommend prospects.

Cognism is a top alternative to Apollo enrichment, offering verified data, intent signals, and deep CRM integration.

Clay is more customisable; Apollo is more out-of-the-box. The right choice depends on your technical resources and needs. If your goal is the highest levels of data quality and enrichment performance, particularly for outbound prospecting, Cognism stands out.

Cognism's MCP gives AI assistants and agents direct, read-only access to the same verified dataset used across the platform. Apollo enrichment data can also reach AI workflows, but quality depends on which third-party source answered the waterfall request.

 

 

Read similar stories

Enrichment

Master data management with this all-in-one guide. Whether you're a beginner or an expert, you'll find valuable insights to improve your data processes.
Learn what makes a good data quality management tool, & which options improve CRM accuracy, support AI workflows & build trusted data foundations.
Quarterly bulk cleanse not cutting it? Here are our top picks for the best data cleansing tools for RevOps on the market right now.