BAM | Our clients - WAG business case

The objective

87% of French people feel concerned about climate change. The challenge for WWF France? Removing the 3 obstacles preventing people from taking action:
1. "I don't know where to start."
2. "I want it to be easy."
3. "I don't want to be alone."

The solution

To meet these expectations, WWF France has launched WAG (We Act for Good), a fun and personalized coaching app that makes it easy to find concrete ways to change your habits over time. BAM supported WWF on the frontend side, using React Native and on the backend side using Node.js and GraphQL to launch the app in 3 months.

Project scope

Development

React Native

GraphQL

Node.js

PostgreSQL

Design

UX research

Design workshops (UX)

Mockups (UI)

Strategy

A/B Testing

Cohort analysis

Business model

Operational roadmap

Data Analytics

Results

0

Users 2 months after launch

0

Locations on the shared map

0

Challenges started on WAG across 7 themes

The challenges

Simplifying search for users

One of the technical challenges on WAG was to implement a text search engine to support the user in its search for environmentally friendly recipes and tutorials in a pragmatic way. After comparing different approaches, the technical team decided on a solution that was quick to implement and efficient: the open-source full-text search solution with PostgreSQL.

Reaching a
large audience

To achieve its ambition, WAG must impact hundreds of thousands of French people. In order to quickly acquire users, WWF France launched a Beta version of the app in 3 months, relying on BAM's React Native expertise, allowing simultaneous deployment on iOS and Android with a single code base. To support WWF France in the official launch of the app, BAM carried out scalability tests and optimized server performance to support peaks of 3,000 users/minutes during major media events (M6 TV news, France Inter show).

Creating
commitment

To truly transform the behavior of French people, WAG must become a habit, an app that we use on a daily basis. In order to meet this challenge, BAM and WWF France have built WAG incrementally, learning from user feedback on each iteration:
1. Qualitative user interviews
2. Mockup tests
3. Beta version
4. Analytics
5. AB testing
6. Surveys

300+ ECO-FRIENDLY CHALLENGES

CREATION AND SHARING OF EVENTS

300+ RECIPES AND DIY TUTORIALS

DAILY QUIZ

SHARED MAP

WAG

The power of changing habits