Optimal Club is an application for subscribers of a discount service, which includes an online store. The main goal was to make it possible to quickly find the desired product category and place an order. Testing and market research allowed, after 2 iterations of the product, to reach the set goals

Who is our person?

Surveys have identified 3 groups that may be interested in the product:

1. People aged 23 to 28 who know how to order products online and often use delivery from abroad (experience using technology 5 out of 5)
2. People from 25 to 36 years old who make a lot of purchases for themselves and as a gift, so it is beneficial for them to take a loan (experience using technology 4 out of 5)
3. People aged 40 to 55 who shop stocks and accumulate bonuses. This segment also enjoys cashback and tax refunds (experience using technology 2.8 out of 5)

*Experience of using tehcnology was assessed on the basis of a questionnaire

Benchmarking

| --- | --- | --- | | Alternative sellers | ✅ | ✅ | | Loyality Card | ✅ | ❌ | | Promo Code | ✅ | ✅ | | Sell Credit Card in App | ❌ | ✅ | | Сompare products | ❌ | ✅ | | Wide network of credit cards | ✅ | ❌ | | Tracking delivery | ❌ | 🟠 partially | | Using bonuses and promotions in other stores | ✅ | ❌ | | Campaigns | ✅ | ✅ |

MVP → GTM

After receiving benchmarking data and data from the marketing team, it was decided to take these features into the first version of the product (mvp):

*gray marked what is planned for GTM