Datablist is a modern lead management tool focusing on data cleaning and lead enrichment. With a spreadsheet interface, build custom workflows for lead generation and outbound campaigns. Individuals and teams use Datablist to clean their leads using advanced deduplication algorithms, data normalization tools, and data consolidation processes. Then, bring the power of AI for data segmentation or to write personalized messages that bring personalization at scale.
Over 10,000 teams use Datablist to fill the gap between CRMs and Spreadsheets regarding lead data management.
A startup from France that is founded by Florian Poullin.
Data Consolidation
Combine several lists using unique identifier
Web Scraping
Scrape URLs at scale with our bulk scraper
Lead Deduplication
Find and merge duplicate leads with advanced dedupe algorithms
Data Cleaning
Fast and scalable data cleaning tools for normalisation, data type conversion, etc.
Advanced Filtering
Use any number of filters and create filter groups for advanced filtering
Datablist is fast! It combines data cleaning features with lead enrichments to build custom outbound workflows.
Datablist is very flexible. Use the REST API to build your own outbound workflows.
We have collected here some useful links to help you find out if Datablist is good.
Check the traffic stats of Datablist on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Datablist on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Datablist's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Datablist on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Datablist on Reddit. This can help you find out how popualr the product is and what people think about it.
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