Data Axle and Melissa serve different ends of the data pipeline. Data Axle is where you go to buy a broad audience list from scratch based on demographics. Melissa is where you go when your existing CRM data is a mess and you need to verify addresses, correct names, and append missing phones.
Comparing them head-to-head comes down to your starting point: do you need a fresh list of prospects, or do you need to clean and enrich the records you already hold?
Disclosure: Scout Data is our product. Data Axle and Melissa are our competitors in the contact data space.
Pricing comparison
As of late 2026, Data Axle prices its business lists between $0.065 and $0.13 per record, requiring a $150 minimum order. Melissa sells consumer mailing lists for roughly $25 per 1,000 records ($0.025 per record) with a $50 minimum.
For verification and append services via API, Melissa uses a pay-as-you-go credit system. Typical U.S. address checks cost about 3 credits per lookup, scaling down with enterprise volume. Data Axle also offers an API, with standard database queries starting around $25 to $50 per 1,000 records.
Data Axle: The compiled list broker
Data Axle (formerly Infogroup) compiles one of the largest consumer and business databases in North America. Its strength is broad demographic targeting.
- List building: You can pull lists based on age, income, estimated credit, or business SIC codes and employee counts.
- Subscription access: Their Salesgenie platform gives reps a CRM-like interface to prospect and export from the database directly.
- Best for: Top-of-funnel direct mail and telemarketing campaigns where you need a large, new audience to dial or mail.
The drawback of compiled data is precision. A compiled record aggregates public and commercial sources, meaning a phone number might belong to anyone in the household, and the property details are often broad estimates rather than deed-backed facts. You can explore more Data Axle alternatives here.
Melissa: Data hygiene and verification
Melissa is fundamentally a data quality company. While they broker lists, their core business is their API suite.
- Address verification: Checking addresses against postal databases to ensure they are deliverable before you mail.
- Identity resolution: Matching names, phones, and emails to ensure the record in your CRM belongs to a real person.
- Best for: Enterprises with massive, decaying customer databases that need continuous hygiene and enrichment.
If you already hold a million records and need to know which ones are still valid, Melissa is the standard choice. You can explore more Melissa alternatives here.
The homeowner outreach gap
If your call center dials homeowners for solar, roofing, or HVAC, neither a broad demographic list nor a hygiene API solves the core problem: you need to know about the house before you dial the phone.
A compiled list tells you someone lives in a zip code with a certain income. It does not tell you that the home has a 22-year-old roof, or that it pulled a solar permit three years ago that never resulted in panels.
Scout Data builds audiences directly from live property signals. We take deed-backed ownership, match the current owner to DNC-scrubbed wireless phones, and deliver dialer-ready files. You do not need to buy a list from one vendor and run it through a hygiene API at another.
Frequently asked questions
What is the difference between Data Axle and Melissa?
Data Axle is primarily a list broker compiling broad consumer and business databases for direct mail and telemarketing. Melissa is an identity verification and data hygiene company built around APIs that cleanse, geocode, and append missing data to a list you already own.
How much does Data Axle cost compared to Melissa?
As of late 2026, Data Axle business lists range from $0.065 to $0.13 per record with a minimum order of $150. Melissa charges approximately $25 per 1,000 records ($0.025 per record) for its consumer mailing lists, with a $50 minimum order, though its primary product is its credit-based API.