Discover Plaid Data Quality tool - Top alternatives, customer information and buyer intent data. Compare Plaid with the biggest competitors in the Data Quality market like Data.com Contacts Segment etc.
Find customers using Plaid. Additionally, find customers with upcoming contract renewals and propensity to buy similar technologies.
Discover competitors of Plaid to find prospects, market share, technology movements, buying patterns and compare technologies against each other.
Look up customers for Plaid using Employee Count. Know their target
company size to create targeted sales and marketing campaigns.
Understand primary industries that Plaid sells to and new
industries they are tapping into
Find customers using Plaid by region, country, state,
city and pin codes.
Plaid’s Top competitors in the data-quality category are Data.com Contacts Segment Cloudingo. You can view a full list of Plaid competitors here. Slintel uses advanced data mining and AI algorithms to track customers and competitors of Plaid and 40,000 other technologies on the internet.You can also compare Plaid and its feature with top competitors here : Plaid vs Data.com Contacts Plaid vs Segment Plaid vs Cloudingo .
Majority of Plaid’s customers for the data-quality category fall in the company size of 1-10 employees (678 companies) 11-50 employees (462 companies) 51-200 employees (130 companies) . You can view a distribution chart of Plaid customers by company size here.
Plaid has market share of 2.49% in data-quality market. Plaid competes with 3 competitor tools in data-quality category. Top alternatives for Plaid data-quality tool are Data.com Contacts with 90.57% Segment with 6.93% Cloudingo with 0.01% market share.
Around the world in 2020, over 1418 companies have started using Plaid as data-quality tool. Companies using Plaid for data-quality are majorly from United States with 1192 customers. 79.47% of Plaid customers are from the United States. Other top countries using Plaid are United Kingdom Canada with 31(2.07%) 29(1.93%) customers respectively.