Who has the best mobile phone data in 2024?

When it comes to data providers, the market is filled with promises of unparalleled coverage and quality. Yet, often these claims lack substantiation beyond mere words.

July 22, 2024

We decided to cut through the noise by conducting the most comprehensive study on mobile phone number coverage. Our goal? To determine definitively who offers the most accurate phone number data.

Methodology

In our investigation, we gathered 115 mobile phone numbers from recent email signatures of contacts who replied to our email outbound campaigns within the last six months. This ensured that the data compared was both fresh and accurate.

We focused on phone numbers from the USA, France, and the United Kingdom.

We selected four data vendors—Apollo, Lusha, Kaspr, and FullEnrich—based on user feedback from various sales and marketing communities.

Initial Results

We determined the accuracy rate by requesting 115 phone numbers from different providers and verifying the validity of these numbers against the phone numbers provided in each contact's email signature.

Our study revealed significant variations in accuracy among the providers:

Provider Valid Phone Numbers Accuracy rate
Cleon1 105 91.30%
Kaspr 67 58.26%
Apollo 63 54.78%
Lusha 78 74.29%
FullEnrich 69 60.00%

Phone Numbers Per Request

Some providers supplied multiple phone numbers per request, reducing efficiency for salespeople who would need to call several numbers to reach the correct one. We included all provided numbers in our "valid phone numbers" count but also evaluated their accuracy per number provided.

Provider Valid Phone Numbers Accuracy rate (%) Total Phone Numbers Provided Phone Numbers Provided Per Contact
Cleon1 105 91.30% 105 1.0
Kaspr 67 58.26% 232 3.5
Apollo 63 54.78% 84 1.3
Lusha 78 74.29% 230 2.9
FullEnrich 69 60.00% 123 1.8

Pricing and Cost Efficiency

When evaluating the cost-effectiveness of phone number providers, it's important to consider the accuracy rate.

For example, if a provider's accuracy is only 50% and you pay $1 per phone number, each valid phone number effectively costs you $2. This is because you need to request two phone numbers to find one valid contact.

Here is a table illustrating the relationship between the accuracy rate and the real price per valid phone number for different providers:

Provider Pricing Credits Price per phone Real Price per phone
Cleon1 $59.00 50 $1.18 $1.29
Kaspr $49.00 60 $0.82 $1.40
Apollo $59.00 75 $0.79 $1.44
Lusha $49.00 40 $1.23 $1.65
FullEnrich $29.00 50 $0.58 $0.97

Revenue Impact

Finally, to understand the practical impact, we analyzed how accuracy and coverage influence revenue generation. For this analysis, we assumed a 5% deal close rate and a contract value of $10,000.

Our findings revealed that differences in data coverage could result in a six-figure impact on the revenue generated from business development activities.

Provider Leads Contacted Deal Closed Contract Value Revenue
Cleon1 1000 913 46 $10,000 $456,522
Kaspr 1000 583 29 $10,000 $291,304
Apollo 1000 548 27 $10,000 $273,913
Lusha 1000 743 37 $10,000 $371,429
FullEnrich 1000 600 30 $10,000 $300,000

Conclusion

The study provides a comprehensive comparison of the accuracy, cost-efficiency, and revenue impact of different mobile phone data vendors. While Cleon1 exhibited the highest accuracy rate and generated the most revenue in our analysis, it is essential to consider multiple factors when selecting a provider.

Kaspr, Apollo, Lusha, and FullEnrich each have their strengths and may offer value depending on specific needs and budget constraints. For instance, FullEnrich offers the lowest initial cost per phone number, although its accuracy rate is lower than Cleon1 and Lusha. Conversely, Lusha balances relatively high accuracy with competitive pricing, making it a viable option for many.

Ultimately, choosing the right data provider depends on your organization's priorities, whether it be maximizing accuracy, minimizing costs, or optimizing for revenue generation. This study serves as a guide to making a more informed decision based on empirical data rather than vendor claims.