We have data on 53 companies that use Iterable. The companies using Iterable are most often found in United States and in the Computer Software industry. Iterable is most often used by companies with 10-50 employees and 1M-10M dollars in revenue. Our data for Iterable usage goes back as far as 5 years and 5 months.
|Company||Optima Tax Relief|
|PROMGIRL, LLC||promgirl.com||United States||10M-50M||50-200|
|Fitnesskeeper Inc.||runkeeper.com||United States||10M-50M||50-200|
|BH Cosmetics||bhcosmetics.com||United States||10M-50M||10-50|
|Aceable Inc.||aceable.com||United States||50M-100M||200-500|
|Optima Tax Relief||optimataxrelief.com||United States||50M-100M||500-1000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Marketing Automation. 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 Automation category, Iterable has a market share of about 0.1%. Other major and competing products in this category include:
Iterable empowers growth marketers to create world-class user engagement campaigns throughout the full lifecycle, and across all channels. Marketers segment users, build workflows, automate touchpoints, and test strategies at scale without engineering support. Using Iterable, marketers quickly build high performance campaigns. Iterable provides marketers with a 360° view of their users via a flexible data model that accepts any data point and can segment users and trigger workflows based on any behavior, event or criteria.
Looking at Iterable customers by industry, we find that Computer Software (22%) and Retail (10%) are the largest segments.
77% of Iterable customers are in United States.
Of all the customers that are using Iterable, 43% are small (<50 employees), 38% are medium-sized and 6% are large (>1000 employees).
Of all the customers that are using Iterable, a majority (65%) are small (<$50M), 7% are large (>$1000M) and 11% are medium-sized.