# Sample Achievements

### Business case

We can create many different types of achievements and supplement campaigns, allowing us to gamify members' experiences. Below you will find examples of some practical uses of the Achievements module.<br>

* [#1 Celebrate Summer - Buy 5 times between June and August.](https://help.openloyalty.io/sample-setups/sample-achievements/1-celebrate-summer-configuration-buy-5-times-between-june-and-august)
* [#2 Place 10 Orders above 50€ - Complete 10 transactions, for more than 50€ each.](https://help.openloyalty.io/sample-setups/sample-achievements/2-place-10-orders-above-50eur-configuration-complete-10-transactions-for-more-than-50eur-each)
* [#3 Ambitious player - Log in to the game 3 times per week for 8 consecutive weeks.](https://help.openloyalty.io/sample-setups/sample-achievements/3-ambitious-player-configuration-log-in-to-the-game-3-times-per-week-for-8-consecutive-weeks)
* [#4 Spend total of 100$ on products with SKU 'ABC132' in September.](https://help.openloyalty.io/sample-setups/sample-achievements/4-sku-abc-configuration-spend-total-of-100usd-on-products-with-sku-abc132-in-september)
* [#5 Track a workout of at least 30 minutes every day for 5 days in a row and earn 250 points](https://help.openloyalty.io/sample-setups/sample-achievements/5-workout-configuration-track-a-workout-of-at-least-30-minutes-for-5-days-in-a-row-get-250-points)
* [#6 4 referees made the transactions for 2 consecutive days](https://help.openloyalty.io/sample-setups/sample-achievements/6-4-referees-made-the-transactions-for-2-consecutive-days-configuration)
* [#7 2 referees made a transaction](https://help.openloyalty.io/sample-setups/sample-achievements/7-2-referees-made-a-transaction-configuration)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.openloyalty.io/sample-setups/sample-achievements.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
