Apollo data is the business contact and company information available through Apollo.io, a sales-intelligence and engagement platform used for prospecting, lead generation, CRM enrichment, and outbound sales. In 2026, Apollo says its data network includes more than 240 million B2B contacts and 30 million companies, making data one of the platform’s central products.
For U.S. sales teams, the real question is not simply how large the Apollo database is. Buyers also need to understand Apollo data accuracy, data sources, verified emails, phone numbers, enrichment, credits, privacy, compliance, integrations, and overall value before building a prospecting strategy around it.
This guide explains how Apollo data works, where the information comes from, how Apollo verifies records, what enrichment can do, and what limitations users should understand. It also covers current 2026 pricing, U.S. compliance considerations, alternatives, privacy controls, and practical methods for evaluating Apollo data quality.
Table of Contents
Table of Contents
What Is Apollo Data?
Apollo data refers primarily to the B2B people and company records accessible through Apollo.io. The platform combines these records with search, enrichment, sales engagement, workflows, CRM integrations, and other go-to-market tools.
A salesperson could use Apollo data to identify marketing directors at software companies in Texas, for example. The salesperson can then narrow the results by company size, seniority, industry, technology, and other criteria before revealing available business contact details.
Apollo currently says users can apply more than 65 data attributes or filters when researching leads. Its B2B data product also advertises more than 240 million contacts, 30 million companies, 72 million emails verified monthly, and 150 million contacts refreshed monthly.
“Access a reliable business data network with unrivaled breadth and depth of data.” — Apollo.io
What Information Does Apollo Data Include?
Apollo Data Contact Information
Apollo’s database is designed to help users identify business professionals and determine whether they match a target customer profile. Available information can include professional identity, employer information, business contact details, job information, and company attributes.
Typical Apollo contact fields may include:
- Name
- Job title
- Seniority
- Department
- Employer
- Business email
- Available phone numbers
- Location
- Company website
- Industry
- Company headcount
- Technology information
- Intent or engagement-related signals
Not every record includes every field. Coverage can vary depending on the contact, company, geographic market, data source, and whether Apollo can verify the requested information.
Apollo Data Company Information
Apollo also maintains company-level records rather than focusing only on individual people. Its current marketing pages state that the database covers more than 30 million companies alongside the 240 million-plus people database.
Company information can help sellers perform account-based prospecting. Instead of searching directly for individual names, a team can first identify companies that fit an ideal customer profile and then search for relevant decision-makers inside those companies.
This is especially useful for B2B selling because company characteristics can be as important as contact details. A business selling enterprise cybersecurity software, for example, may care about employee count, industry, geography, technologies, and company characteristics before it cares about the email address of an individual employee.
Where Does Apollo Get Its Data?
One of the most common questions about Apollo data is where the information originates. Apollo says its living data network combines a contributor network, engagement and email signals, public-data crawling, and vetted third-party data providers.
Apollo currently describes a network of about 2 million data contributors as part of this system. The company says information is checked across multiple data sources before new business-contact information is incorporated into its database.
This matters because Apollo is not simply a static directory. The company’s stated model is a continuously changing database in which multiple signals can contribute to discovering, updating, or verifying records.
How Apollo Data Sources Work Together
A simplified data flow looks like this:
- Apollo receives business information from multiple sources.
- Records are matched to contacts and companies.
- Available email and phone data goes through verification processes.
- Signals such as employment changes can update existing records.
- Users search and filter the resulting database.
- Enrichment can append newer or missing information to customer records.
Apollo calls this approach a living data network. Its Data Overview documentation connects the contributor network, email signals, crawlers, partners, enrichment, job-change tracking, and data-health functions into the broader system.
How Accurate Is Apollo Data?
Is Apollo Data Accurate?
Apollo data can be useful, but no B2B database should be assumed to be perfectly accurate. People change jobs, companies restructure, phone numbers change, domains expire, and email accounts are created or disabled constantly.
Apollo’s own pages publish more than one accuracy metric. Its B2B Data page currently advertises a 98% email accuracy rate, while Apollo’s July 2026 Email Status documentation states that verified emails have an 84% match rate and an accuracy rate above 90%.
These figures should not be treated as contradictory without understanding the measurement methodology and population behind them. For an actual buyer, the most reliable approach is to test Apollo against a representative sample from the exact U.S. market, industry, and job functions the company plans to target.
Apollo Data Accuracy vs Data Coverage
Data coverage measures how much information a provider can supply. Data accuracy measures how often that supplied information is correct.
A database could have excellent coverage but mediocre accuracy. Another could have less coverage but extremely accurate records for the contacts it does contain.
Sales teams should therefore monitor several metrics:
| Data Quality Metric | What It Measures |
|---|---|
| Email match rate | Contacts for which an email is found |
| Email accuracy | Whether supplied emails are valid |
| Bounce rate | Emails that fail after sending |
| Phone match rate | Contacts with available phone data |
| Connect rate | Phone numbers that reach the intended person |
| Job accuracy | Whether role and employer are current |
| Company match | Whether contact is linked to correct company |
| Missing-field rate | Percentage of incomplete records |
The correct Apollo data-quality test is not “Does Apollo have a big database?” It is “How many usable, accurate records does Apollo provide for my specific ideal customer profile at an acceptable cost?”
How Does Apollo Verify Emails?
Apollo classifies email addresses by status and applies verification before labeling certain records as verified. Its current documentation describes a verified address as a fully confirmed valid email and says verified emails maintain an accuracy rate above 90%.
Apollo’s B2B Data page describes a seven-step email verification process involving real-time checking, bounce prediction, handling catch-all domains, and cleaning. Apollo separately states that 72 million emails are verified monthly.
A catch-all domain requires additional caution because the domain can accept mail sent to addresses even when the specific mailbox is uncertain. Apollo therefore distinguishes these records from its ordinary verified-email status.
What Happens If an Apollo Verified Email Bounces?
Apollo says that if a verified email requested by a user bounces within 30 days and the message was sent through Apollo, it refunds the associated credit in the next billing cycle. Apollo notes that this refund policy applies to eligible emails sent through Apollo rather than every external sending situation.
That policy gives sales teams a limited safeguard against paying for a verified address that quickly proves unusable. It still does not eliminate the need to monitor deliverability, sender reputation, bounce rates, and list quality.
How Accurate Are Apollo Phone Numbers?
Apollo also provides phone information for some B2B contacts. Its current B2B Data page says direct phone numbers are checked using real-time verification logic when users request them.
Apollo advertises less than 1% invalid direct phone numbers on that product page, but this is the company’s own platform-level performance claim. Individual results can differ by market, contact type, country, and source.
Phone accuracy should therefore be measured using actual connection data. A U.S. sales team can compare the number of phones revealed with the number that connect to the intended contact, then calculate the true cost per usable number.
What Is Apollo Data Enrichment?
Apollo data enrichment means adding, correcting, or updating information in records a company already owns. A CRM might contain a prospect’s name and company, for example, while Apollo adds a business email, phone number, current title, or updated company information.
Apollo supports several enrichment workflows. Its current documentation covers CRM enrichment, CSV enrichment, form enrichment, API enrichment, job-change enrichment, saved-record enrichment, and waterfall enrichment.
This makes enrichment relevant beyond cold prospecting. Revenue operations teams can use enrichment to clean an existing database, marketers can enrich inbound forms, and sales teams can refresh outdated contacts before launching campaigns.
Apollo CRM Enrichment
CRM enrichment allows Apollo to update people and company records in connected systems. Apollo states that CRM enrichment requires a connected CRM and correctly mapped fields, so configuration determines how information moves between systems.
For example, a CRM might contain 50,000 contacts accumulated over several years. Enrichment can potentially fill missing fields, identify job changes, and update records that have become stale.
The business value comes from making the CRM more actionable. A database with 100,000 names is less useful than a smaller database whose company, title, email, and contact information are current enough to support real sales activity.
Apollo CSV Enrichment
Apollo also allows users to work with CSV files. Its 2026 release notes say users can perform native or waterfall enrichment when uploading CSV data and review estimated credit usage before proceeding.
This can be useful when a company has contact information stored outside its CRM. A team can upload a structured list, enrich missing fields, and then use the improved records in its chosen workflow.
What Is Apollo Waterfall Enrichment?
How Apollo Data Waterfall Enrichment Works
Waterfall enrichment searches multiple data sources sequentially rather than relying only on one source. Apollo says the system checks Apollo and configured third-party providers in sequence until requested email or phone information is found.
The process can be summarized as:
- Request an email or phone number.
- Check Apollo’s available data.
- Continue through connected enrichment sources when necessary.
- Stop when qualifying data is found.
- Run configured validation where applicable.
- Charge credits according to the source and enrichment action.
Apollo states that waterfall credit consumption varies according to which provider successfully finds the requested information. Optional data validation can also consume credits.
Why Waterfall Enrichment Matters
No single provider has perfect coverage. Waterfall enrichment tries to improve match rates by combining multiple sources without forcing the user to check each provider manually.
The tradeoff is cost and complexity. More sources can improve coverage, but teams need to watch which providers consume credits and whether the additional records produce enough qualified conversations to justify the expenditure.
Apollo Data Health Center
Apollo’s Data Health functions are designed around finding stale, missing, or duplicate information. Apollo describes Data Health Center capabilities alongside enrichment, deduplication, and job-change monitoring as tools for maintaining a more trustworthy CRM database.
Data hygiene matters because CRM deterioration is continuous. Employees change companies, promotions alter titles, companies merge, and incomplete forms create records with missing information.
A strong data-health process should include recurring checks for:
- Duplicates
- Missing emails
- Missing phone numbers
- Job changes
- Incorrect employer information
- Invalid emails
- Old titles
- Incomplete company fields
Treating Apollo data as a one-time download ignores one of the core problems enrichment platforms are designed to address: business information changes.
How to Search Apollo Data
Apollo provides search and filtering tools for finding people and companies. Its current product pages say users can search using more than 65 filters or attributes, including factors such as title, company size, industry, and technology stack.
Apollo Data Prospecting Workflow
A practical prospecting workflow is:
- Define your ideal customer profile.
- Select target industries.
- Define company size.
- Choose the U.S. states or territories you want to target.
- Select relevant departments.
- Choose job titles and seniority.
- Apply additional company or technology filters.
- Review matched contacts.
- Reveal only the data you actually need.
- Save qualified leads to a list or CRM.
The biggest mistake is starting with millions of potential contacts and exporting indiscriminately. Better prospecting begins with a narrow ICP, because fewer highly relevant records usually create a cleaner sales workflow than a massive unqualified list.
Apollo Data for Lead Generation
Apollo’s combination of company data, contact data, filters, and engagement tools is designed to move users from research into prospecting. Apollo describes itself as both a lead database and a broader go-to-market platform that combines prospect identification with engagement and analytics.
A software company targeting U.S. manufacturers could first find manufacturing businesses that fit its employee-count criteria. It could then identify operations, IT, finance, or executive contacts depending on who participates in the purchase decision.
This approach is more precise than buying a generic list. The objective is to use Apollo data to construct a segment defined by characteristics connected to a real sales hypothesis.
Apollo Data for Sales Teams
Sales development representatives can use Apollo data to identify potential buyers and reveal available emails or phone numbers. Account executives can use company and contact information to map stakeholders inside target accounts.
Sales managers can use the same database to define territories or prospecting strategies. Revenue teams can also combine Apollo’s data with sequences, workflows, and CRM systems rather than moving between entirely separate prospecting and engagement platforms.
The platform is therefore most valuable when data becomes part of a disciplined sales process. Simply collecting thousands of Apollo contacts without qualification, messaging strategy, deliverability controls, and follow-up usually creates more database volume rather than more useful pipeline.
Apollo Data for Marketing and RevOps
Apollo markets its database and enrichment capabilities to marketers as well as sellers. Its marketing product material emphasizes list building, enrichment, form enrichment, lead routing, website visitors, intent information, scoring, and database health.
For RevOps, the value proposition is different. Revenue operations teams are generally more concerned with standardization, database completeness, job changes, deduplication, routing, and ensuring downstream systems contain usable information.
This makes Apollo CRM enrichment one of the most commercially important Apollo data use cases. Clean data affects segmentation, routing, reporting, personalization, and the ability of sales representatives to reach the correct people.
Apollo Data API
Apollo provides APIs that can be used to access or enrich information programmatically. Apollo’s enrichment product documentation says its API can support searching, updating, and enriching contacts and accounts in external systems.
API enrichment is useful when a company wants Apollo data inside its own product, database, internal workflow, or custom automation rather than requiring employees to work entirely in Apollo’s interface. Apollo notes that some API endpoints consume credits and that consumption depends on the user’s plan.
This makes API economics important at scale. A technically successful integration can still be expensive if thousands or millions of enrichment requests are triggered unnecessarily.
Apollo Data Integrations
Apollo states that its lead-generation platform connects with CRMs including Salesforce, HubSpot, and Pipedrive. Integration enables prospecting and enrichment information to move into systems that sales teams already use.
Before enabling automatic enrichment, administrators should decide which platform is the system of record. They should also map fields deliberately so that good CRM information is not unintentionally replaced by lower-confidence information.
A controlled deployment can begin with a subset of records. Once the team understands field mappings, duplicates, enrichment behavior, and credit usage, it can expand automation.
Apollo Chrome Extension
Apollo currently offers a Chrome extension designed to expose company and contact information while users browse. Apollo’s email-finder page says the extension can reveal available business emails and phone information from company websites and within supported CRM workflows.
This can reduce manual switching between a browser, Apollo, and a CRM. It is particularly useful for account research when a representative already knows which company or person they are investigating.
The extension does not change the underlying data-quality question. Users should still distinguish verified information from lower-confidence data and track whether revealed contact details actually work.
Apollo Data Pricing in 2026
Apollo currently offers Free, Basic, Professional, and Organization tiers. As of August 2026, the official pricing page lists annual-billing rates of $49 per user per month for Basic, $79 for Professional, and $119 for Organization, with the Organization tier requiring at least three seats; the Free plan is $0.
Current published credit allocations are shown below.
| Apollo Plan | Annual-Billing Price | Published Credits |
|---|---|---|
| Free | $0 | 900 per seat/year |
| Basic | $49/user/month | 30,000 per seat/year |
| Professional | $79/user/month | 48,000 per seat/year |
| Organization | $119/user/month | 72,000 per seat/year |
These are current published figures and can change, so businesses should verify the pricing page before purchasing. Apollo also notes that Organization requires a minimum of three seats.
How Do Apollo Data Credits Work?
Apollo credits control access to various data actions. Apollo’s current pricing information states that a verified email costs 1 credit, a phone number costs 8 credits, and enrichment can cost between 1 and 8 credits, depending on the action.
Waterfall enrichment can behave differently because the successful provider affects consumption. Apollo therefore recommends reviewing billing and credit information within the workspace for the user’s specific plan.
Businesses should calculate cost per usable contact, not simply cost per credit. If 1,000 revealed contacts produce only 300 genuinely relevant and reachable prospects, those 300 records are the denominator that matters economically.
Is Apollo Data Legal in the United States?
Apollo provides business information and compliance controls, but using a sales-intelligence database does not automatically make every outreach campaign lawful. The legal requirements depend on what data is used, the communication channel, the recipient, the jurisdiction, and how the outreach is conducted.
For commercial email in the United States, the FTC’s CAN-SPAM guidance requires accurate header information, non-deceptive subject lines, identification of advertising where required, a valid physical postal address, and a working opt-out mechanism. Businesses remain responsible for compliance even when another company supplies contact data.
Automated or prerecorded calls and texts raise additional requirements under the TCPA and FCC rules, including consent requirements in covered situations. Therefore, possessing a phone number in Apollo is not equivalent to having unrestricted permission to call or text that person using any method.
Apollo Data Privacy and CCPA
Apollo’s privacy policy states that personal information in its Contributor Database is used for B2B sales, marketing, and recruiting purposes. The policy also provides qualifying individuals with mechanisms to request access, correction, deletion, and opt-out of sale or sharing where applicable.
Apollo’s Privacy Center provides a process for removing an existing individual profile. Apollo says removed profiles are placed on a suppression list designed to prevent the record from being reactivated in the future.
For U.S. users, state privacy rights vary. Apollo publishes a separate state-law statement addressing rights including access, deletion, correction, portability, and opt-out where applicable.
How to Remove Your Data From Apollo
Apollo’s current Privacy Center provides a direct opt-out process. The basic workflow is:
- Visit Apollo’s Privacy Center.
- Select the profile-removal or opt-out option.
- Provide the information needed to locate the record.
- Complete any required verification.
- Submit the request.
- Retain confirmation for your records.
People can also use the Privacy Center to request information about data Apollo has collected about them. Apollo states that identity verification may be required before the access report is provided.
Is Apollo Data GDPR Compliant?
Apollo says it is GDPR compliant in its roles as both data processor and data controller. The platform also includes administrative settings that can prevent prospecting, emailing, or email tracking for contacts Apollo identifies as located in the European Union.
Apollo cautions that these geographic settings depend on its ability to determine a prospect’s location. The company also provides unsubscribe management, removal-request tools, data exports, deletion controls, and certain Do Not Call screening features.
Compliance tools should therefore be considered controls, not automatic legal clearance. Organizations remain responsible for determining their own lawful basis, marketing rules, retention policies, and obligations in relevant jurisdictions.
Is Apollo Data Safe?
Apollo’s current security page states that data is encrypted in transit and at rest. The company also describes two-factor authentication, firewall controls, intrusion detection, ISO 27001 certification, and SOC 2 certification among its security measures.
Its Trust Center reports a SOC 2 Type 2 assessment covering security, availability, and confidentiality controls. Apollo’s Data Processing Addendum also describes authentication and security controls for customer products.
Security certification does not mean a platform can never experience a security incident. Businesses connecting a CRM should still use least-privilege access, appropriate user permissions, strong authentication, audit processes, and internal data-governance policies.
What Happened in the 2018 Apollo Data Incident?
Apollo experienced a major security incident in 2018. Contemporary reporting from WIRED and TechCrunch described unauthorized access involving a very large B2B contact database, while Have I Been Pwned says the incident included approximately 126 million unique email addresses in the subset it received.
The incident is historically relevant when evaluating any company entrusted with large datasets. It should not, however, be presented as evidence that Apollo’s current 2026 controls are identical to those that existed eight years earlier.
Apollo now publishes information about SOC 2, ISO 27001, encryption, privacy controls, and other security measures. Buyers conducting serious vendor due diligence should evaluate both historical incidents and current independent certifications rather than relying exclusively on either one.
Apollo Data Pros and Cons
Apollo Data Advantages
Apollo’s biggest advantage is integration. It combines a large B2B database with search, enrichment, engagement, workflows, CRM connections, APIs, and data-health functions in one ecosystem.
Other potential advantages include:
- 240M+ B2B contacts
- 30M+ companies
- 65+ filtering attributes
- Verified-email workflows
- Phone-number data
- CRM enrichment
- CSV enrichment
- Waterfall enrichment
- API enrichment
- Job-change enrichment
- Data-health tools
- Chrome extension
- Free entry-level plan
- Published paid-plan pricing
The database size and feature list come from Apollo’s own current product materials. Organizations should test actual results within their specific market before assuming platform-wide claims will reproduce exactly for their ICP.
Apollo Data Limitations
The first limitation is inherent to B2B data itself: people and companies change. Even verified information can become stale after a job change, phone reassignment, company restructuring, or domain change.
The second limitation is credit economics. Revealing phones, enriching records, using waterfall providers, and working at high volume can consume materially more credits than simply searching the database.
The third limitation is that access to contact information does not remove compliance responsibilities. Teams still need their own rules for qualification, outreach, consent where required, opt-outs, retention, CRM governance, and data security.
Apollo Data vs ZoomInfo, Cognism, Lusha and Other Alternatives
Apollo competes in a broad B2B data and sales-intelligence market that includes ZoomInfo, Cognism, Lusha, RocketReach, Seamless.AI, Clay, LeadIQ, and other tools. The right choice depends less on finding a universally “best” database and more on matching the platform to a company’s geography, workflow, budget, and data-quality requirements.
Apollo’s current positioning emphasizes combining prospecting data and engagement in one platform. Apollo’s own 2026 comparison materials distinguish this all-in-one approach from providers that focus more narrowly on contact data or enrichment, although those comparisons are vendor-authored and should be independently validated.
Use this framework when comparing providers:
| Criterion | What to Measure |
|---|---|
| Contact coverage | Matches inside your actual ICP |
| Email accuracy | Verified emails that do not bounce |
| Phone quality | Correct numbers and connect rate |
| Geography | Strength in your target countries |
| Enrichment | CRM, CSV, API and real-time options |
| Integrations | Compatibility with your stack |
| Engagement | Sequences, calls and workflows |
| Privacy | Opt-out and compliance controls |
| Pricing | Cost per usable contact |
| Scalability | Economics at larger volumes |
Run the same representative contact sample through multiple providers when possible. A real controlled test is more useful than comparing database-size claims from marketing pages.
Apollo Data Case Study: Building a U.S. B2B Prospect List
Consider an illustrative case study involving a fictional U.S. SaaS company selling inventory-management software. Its ideal customers are American distributors with 50 to 500 employees, and its preferred buyers work in operations or supply-chain leadership.
The team could use Apollo data to filter companies by geography, industry, size, and other characteristics, then narrow contacts by function and seniority. Apollo’s current search tools support more than 65 filters, which makes this type of segmented search a core platform use case.
Suppose the search initially produces 8,000 contacts. Instead of revealing all 8,000, the team reviews its criteria, removes poor-fit accounts, prioritizes high-value companies, and reveals contact information for only the most relevant prospects.
The team then measures bounce rate, contactability, replies, qualified conversations, meetings, and opportunities. If 500 revealed contacts produce 350 valid reachable prospects, the team calculates its data economics using those 350 usable records rather than the raw 500.
This fictional example illustrates the correct way to think about Apollo data. The objective is not to collect the maximum number of contacts; it is to obtain enough accurate and relevant information to create economically useful sales conversations.
How to Test Apollo Data Before Paying for a Larger Plan
Apollo currently offers a free tier, which gives prospective buyers a way to test the platform before committing to a larger paid deployment. Its current pricing page lists Free, Basic, Professional, and Organization options with different annual credit allocations.
A useful test should follow these steps:
- Select 100-200 known companies that represent your ICP.
- Search for the exact roles your team normally targets.
- Record Apollo’s contact match rate.
- Check job titles against company information.
- Reveal a controlled sample of emails.
- Measure valid email results.
- Test available phone numbers appropriately.
- Track cost per usable contact.
- Compare the same sample with another provider.
- Decide based on data quality, workflow, and cost.
Testing only famous companies can distort the result. Use ordinary companies from the industries, sizes, and regions that represent the market where your sales team actually operates.
Apollo Data Best Practices
Start with targeting discipline. Apollo’s large database makes it easy to produce oversized lists, but tighter account and contact filters usually make subsequent qualification easier.
Second, separate data acquisition from outreach permission and compliance. The availability of a business email or phone number does not mean every communication method is automatically appropriate or legally permissible.
Third, continuously measure the database. Bounce rate, phone connect rate, reply rate, record freshness, job-change frequency, and cost per usable contact will tell you more about Apollo’s value to your business than a global database-size statistic.
Additional Technology Resources
The following resources were specifically requested for inclusion. They relate broadly to consumer technology, streaming, television platforms, and internet technology rather than Apollo.io B2B data, so they should not be used as evidence for Apollo’s database, accuracy, pricing, or compliance claims.
- CNET
- TechRadar: Best Streaming Devices
- HowStuffWorks
- Wikipedia: Internet Protocol Television
- Android TV
- Google TV
Keeping unrelated external links clearly separated helps preserve topical relevance. The core subject of this article is Apollo data and Apollo.io sales intelligence, not IPTV or streaming hardware.
Frequently Asked Questions About Apollo Data
What Is Apollo Data?
Apollo data is B2B contact and company information provided through Apollo.io. It is used for sales intelligence, prospecting, lead generation, CRM enrichment, marketing, recruiting, and related business workflows.
How Big Is the Apollo Database?
Apollo currently advertises more than 240 million B2B contacts and 30 million companies. These are Apollo’s own current platform figures and can change as the database evolves.
Where Does Apollo Get Its Data?
Apollo says it combines information from its contributor network, engagement and email signals, public-data crawling, and vetted third-party data providers. The company says it verifies information across multiple sources as part of its living data network.
Is Apollo Data Accurate?
Apollo’s current marketing page advertises 98% email accuracy, while its Knowledge Base says verified emails maintain accuracy above 90%. Real-world accuracy can differ by market and record type, so buyers should test a representative sample themselves.
How Does Apollo Verify Emails?
Apollo describes a multi-step verification process that includes real-time checks, bounce prediction, catch-all handling, and cleaning. Its current B2B data page refers to a seven-step email-verification process.
Does Apollo Have Phone Numbers?
Yes. Apollo provides available business phone information and states that requested direct phone numbers undergo real-time verification logic.
What Is Apollo Data Enrichment?
Apollo data enrichment adds or updates information in existing contact and company records. Apollo supports CRM, CSV, API, form, job-change, saved-record, and waterfall enrichment workflows.
What Is Apollo Waterfall Enrichment?
Waterfall enrichment checks multiple data sources sequentially to locate emails or phone numbers. Apollo or another configured provider can supply the result, and credit use depends partly on the source that successfully finds the information.
Can Apollo Enrich a CSV File?
Yes. Apollo’s 2026 product updates support enrichment during CSV uploads, including native and waterfall options for available email and phone information.
Does Apollo Have an API?
Yes. Apollo provides APIs for integrating data and enrichment with external systems and custom workflows, although some API actions consume credits.
Is Apollo Data Free?
Apollo currently offers a Free plan at $0. Paid annual-billing tiers currently begin with Basic at $49 per user per month.
How Much Does Apollo Data Cost?
As of August 2026, Apollo lists Basic at $49, Professional at $79, and Organization at $119 per user per month when billed annually. The Organization plan currently requires at least three seats.
How Do Apollo Credits Work?
Apollo currently lists verified emails at 1 credit, phone numbers at 8 credits, and enrichment at 1-8 credits depending on the data action. Waterfall enrichment can have different consumption depending on which provider finds the requested data.
Is Apollo Data Legal?
Apollo is a legitimate B2B data platform, but users remain responsible for how they process data and conduct outreach. U.S. commercial email is subject to CAN-SPAM requirements, while certain calls and texts fall under TCPA and FCC requirements.
Is Apollo GDPR Compliant?
Apollo states that it is GDPR compliant as both a data processor and data controller. It also provides workspace controls intended to help customers manage prospecting and outreach involving EU contacts.
Can I Remove My Information From Apollo?
Yes. Apollo’s Privacy Center allows individuals to request profile removal and says removed profiles are maintained on a suppression list designed to prevent future reactivation.
Is Apollo Data Safe?
Apollo currently reports ISO 27001 and SOC 2 certifications, encryption in transit and at rest, two-factor authentication, intrusion detection, and other controls. Organizations should still perform their own vendor-security assessment before connecting sensitive business systems.
Has Apollo Ever Had a Data Breach?
Yes. A significant Apollo security incident was reported in 2018 involving a large contact database, and Have I Been Pwned recorded approximately 126 million unique email addresses in the data subset it received. Apollo’s present security posture should be evaluated separately using current certifications and controls.
Is Apollo Better Than ZoomInfo?
There is no universal answer. Companies should compare Apollo and ZoomInfo using their own ICP for contact coverage, verified-email accuracy, phone connect rates, integrations, enrichment, pricing, and cost per usable prospect.
What Are the Best Apollo Data Alternatives?
Commonly considered B2B data alternatives include ZoomInfo, Cognism, Lusha, RocketReach, Seamless.AI, Clay, and LeadIQ. The strongest option depends on geography, data requirements, enrichment workflows, engagement features, integrations, and budget.
Is Apollo Data Worth It?
Apollo can be valuable when a company needs B2B prospecting data plus enrichment and sales workflows in one platform. Its value should be measured using qualified-contact rate, accuracy, workflow efficiency, and cost per usable prospect rather than database size alone.
Final Verdict: Is Apollo Data Worth Using in 2026?
Apollo data offers a broad combination of B2B contact information, company intelligence, email verification, phone data, more than 65 filtering attributes, CRM enrichment, CSV enrichment, waterfall enrichment, APIs, and sales-engagement capabilities. Apollo currently advertises a database of more than 240 million contacts and 30 million companies, making breadth one of its main advantages.
The platform is most compelling for U.S. sales, marketing, recruiting, and RevOps teams that want prospecting data connected directly to workflows rather than buying static lists. Its Free plan also makes it possible to evaluate Apollo data accuracy against a real target market before committing to higher-volume paid usage.
Apollo data should still be treated as business intelligence rather than unquestionable truth. Verify important records, monitor bounce and phone-connect rates, control credit consumption, respect privacy and outreach requirements, and calculate cost per usable contact before deciding whether Apollo.io is the right B2B data platform for your organization.