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dataPlor's core
business record includes:
In LATAM, up to 75% of small businesses have no online presence.
We integrate people and technology to deliver
the most accurate, high-quality small business data.
Fill in the map
Our live, local field team collects small business data on-the-ground.
Improve online data
We verify our data by utilizing artificial intelligence and human verification.
Business Problem: a major food delivery company needed to collect qualified leads to expand in Mexico.
dataPlor Solution: dataPlor's dataset enabled the company to convert 57% of leads to active restaurants, resulting in a higher ROI than other datasets previously utilized.
Business Problem: A major search engine organization needed to increase the number of small businesses on their platform to supplement its business verification program. However, existing online data was missing 80% of businesses in Mexico.
dataPlor Solution: dataPlor deployed its field team to hand-collect data on 200K+ small businesses in Mexico, drastically increasing the number of businesses available in the search tool.
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Business Problem: A multinational financial services corporation realized their sales team was wasting valuable time with bad data.
dataPlor Solution: dataPlor collected highly-accurate leads for the client's sales team, increasing the amount of qualified leads in the dataset from 10%, to over 90%.
Business Problem: a major food delivery company needed to collect qualified leads to expand in Mexico.
dataPlor Solution: dataPlor's dataset enabled the company to convert 57% of leads to active restaurants, resulting in a higher ROI than other datasets previously utilized.
Business Problem: A major search engine organization needed to increase the number of small businesses on their platform to supplement its business verification program. However, existing online data was missing 80% of businesses in Mexico.
dataPlor Solution: dataPlor deployed its field team to hand-collect data on 200K+ small businesses in Mexico, drastically increasing the number of businesses available in the search tool.
Business Problem: A multinational financial services corporation realized their sales team was wasting valuable time with bad data.
dataPlor Solution: The dataPlor team collected highly-accurate leads for the client's sales team, increasing the amount of qualified leads in the dataset from 10%, to over 90%.
