trovr 4+

trovr Digital Limited

Designed for iPhone

    • Free

iPhone Screenshots

Description

Every day around 8 million pieces of plastic make their way into our oceans. The world produces 381 million tonnes in plastic waste yearly – this is set to double by 2034. Fifty percent of this is single-use plastic & only nine percent has ever been recycled.

trovr was borne out of the realisation that to make real change consumers need to be incentivised to recycle. trovr’s “rewards for recycling” App model is a significant contributor to creating greater motivation to consumers to recycle single use glass and plastic bottles and aluminium drinks cans.

Subscribers earn reward points through the app from recycling glass, plastic, and aluminium drinks containers at one of a national and international network of recycling machines hosted in locations such as shopping malls, supermarkets, motorway service areas/filling stations, transportation hubs (air, bus, and rail), and community spaces.

These reward points can be exchanged for vouchers offered through the app and redeemed online or on the high street for offers such as discounts, money off etc.

As countries adopt deposit return schemes (DRS) globally (UK in 2023/2024), our "Rewards For Recycling" model will contribute to a natural evolution in consumer behaviour and a step change in the amount of recycled packaging material.

What’s New

Version 1.14.3

This version addresses an issue with barcode scanning and also addresses a number of performance issues.

App Privacy

The developer, trovr Digital Limited, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Linked to You

The following data may be collected and linked to your identity:

  • Location
  • Contact Info
  • User Content
  • Identifiers
  • Usage Data

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Usage Data

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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