We have data on 1,217 companies that use Predictable Revenue. The companies using Predictable Revenue are most often found in United States and in the Automotive industry. Predictable Revenue is most often used by companies with >10000 employees and 1M-10M dollars in revenue. Our data for Predictable Revenue usage goes back as far as 6 years and 2 months.
|Company||Home Depot Inc|
|Company||Blackfriars Insurance Brokers Ltd|
|Company||California State University, Stanislaus|
|Company||H&R Block, Inc.|
|Home Depot Inc||homedepot.com||United States||>1000M||>10000|
|Blackfriars Insurance Brokers Ltd||blackfriarsgroup.com||United Kingdom||1M-10M||>10000|
|California State University, Stanislaus||csustan.edu||United States||100M-200M||1000-5000|
|H&R Block, Inc.||hrblock.com||United States||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Marketing & Sales Intelligence. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Marketing & Sales Intelligence category, Predictable Revenue has a market share of about 0.6%. Other major and competing products in this category include:
Predictable Revenue is a framework to teach companies how to double sales and help double their enterprise growth today.
Looking at Predictable Revenue customers by industry, we find that Automotive (18%), Higher Education (9%) and Retail (7%) are the largest segments.
74% of Predictable Revenue customers are in United States and 8% are in India.
Of all the customers that are using Predictable Revenue, 26% are small (<50 employees), 32% are medium-sized and 41% are large (>1000 employees).
Of all the customers that are using Predictable Revenue, a majority (51%) are small (<$50M), 33% are large (>$1000M) and 8% are medium-sized.