Data enrichment is a crucial feature for all types of software, as it allows users to get a comprehensive understanding of their data. Put simply, data enrichment is the process of enhancing or improving existing data by adding additional information to it. This additional information may include details such as demographics, geolocation, social media activity, and purchasing behavior. The main goal of data enrichment is to provide more context and depth to a dataset, making it more valuable and useful for analysis and decision-making. This is especially
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Zeotap | - | 9.8 | 4.4 | Visit Website | |
Amperity | - | 9.8 | 4.8 | Visit Website | |
Segment | $120, | 9.8 | 4.7 | Visit Website | |
LeadBoxer | $195, | 9.4 | 4 | Visit Website | |
Arm Treasure Data | - | 9.4 | 4.4 | Visit Website | |
Evergage | - | 9.3 | 4.2 | Visit Website | |
Lytics | - | 9.2 | 4 | Visit Website | |
mParticle | - | 9.1 | 3.5 | Visit Website | |
Blueshift | - | 9.1 | 4.4 | Visit Website | |
CustomerLabs CDP | $29, | 8.9 | 4.9 | Visit Website | |
Tealium AudienceStream CDP | - | 8.8 | 4.4 | Visit Website | |
Hull | $1,045, Billed Monthly | 8.7 | 4.7 | Visit Website | |
Stratifyd | - | 8.6 | 4.2 | Visit Website | |
Scal-e | - | 8.5 | - | Visit Website | |
LeadSpace | - | 8.5 | 4.3 | Visit Website |