Plecto

Plecto is a team motivation software that helps sales, customer service, and telemarketing teams increase motivation and boost performance.

Languages supported: Danish, English, Norwegian, Spanish, Swedish

Platforms: Mac, Win, Linux

Price: $$$$$

Business Size: 1

8.2/10 (Expert Score) ★★★★★
Product is rated as #65 in category Data Visualization Software
Ease of use
7.6
Support
8.1
Ease of Setup
7.0

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Plecto is a dashboard software designed to motivate and engage your employees to perform better.

Every day, Plecto helps motivate thousands of employees to do just that. We do that by visualizing performance indicators in an open and engaging way.

With gamification features, we have taken the addicting elements from games and applied these to work-life situations.

By doing so, we increase your employee engagement. And why is that important? Because engaged employees perform better.

You can integrate an unlimited number of data sources with Plecto. You can even import data from multiple sources and filter these across sources. That way, you can display dashboards that take more variables into account.

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Customer Reviews

Plecto Reviews

Mark S.

Advanced user of Plecto
★★★★★
Great options for data sources, very kind employees, technology could use a little work

What do you like best?

The number of different data sources which we regularly use is great. I couldn't find any other product which includes all the tools we use on a daily basis. (Aircall, intercom, close, MySQL, etc.)

What do you dislike?

The syntax for creating dashboard widgets is confusing. Also the onboarding process takes weeks. It should be possible to get a new customer up and running in a single day. I'm sure many sales are lost by making it a 3-4 week process.

Recommendations to others considering the product:

Test it out. You may end up saving a lot of time and money.

What problems are you solving with the product? What benefits have you realized?

We're still working on our setup. But essentially we're replacing an entire full time data analyst and saving engineering resources. Whenever we have new data types in our database and/or want new anayltics we won't need to have costly developer time dedicated to getting those anayltics or using those new data types.

Review source: G2.com

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