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.
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.
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% |
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 |
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 |
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 |
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.