> For the complete documentation index, see [llms.txt](https://www.oddle.me/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.oddle.me/docs/new-guests/check-in/make-every-check-in-work-for-you.md).

# Make Every Check-in Work For You

Every check-in does more than reward a guest — it adds to a growing database of known customers you can reach again. The data captured through your check-in programme flows directly into your Customer Intelligence and Marketing tools, turning anonymous walk-in guests into a remarketing audience you control.

***

## What Every Check-in Captures

Each time a guest checks in, Oddle records:

* **Who they are** — name, phone number, and birthday (if enabled)
* **When they visit** — check-in dates, frequency, and recency
* **What they told you** — insight question responses: whether they live or work nearby, how they discovered you, and why they return

This data is added to the guest's profile in **Customer Intelligence**, alongside any data from their online orders, reservations, or other Oddle touchpoints. A guest who booked through Reserve and later checked in at your restaurant has one unified profile — not two separate records.

***

## Retargeting with Insight Questions

The insight questions your guests answer on check-in aren't just interesting to read — they're filterable attributes in your customer database that power targeted campaigns.

**Visit context** — knowing whether a guest lives, works, or is just visiting nearby lets you run location-aware campaigns:

* **Monthly limited-time offers** to guests who live nearby — they're your most likely regulars. A "this weekend only" offer sent to local guests has a higher conversion rate than a blast to your entire database
* **Lunch specials** to guests who work nearby — they're looking for weekday options within walking distance
* **Occasional treats** for visitors — they may not return often, but a well-timed offer before a holiday can pull them back

**Discovery and return reasons** — understanding how guests found you and why they come back lets you double down on what's working:

* Identify your strongest acquisition channels (word of mouth, social media, walk-by) and invest accordingly
* Segment by return reason and tailor messaging — guests who come for your signature dish vs guests who come for the atmosphere respond to different offers

***

## Feeding Your Marketing

Checked-in guests automatically flow into your marketing tools. Here's how the connection works:

**Customer Intelligence** — Every checked-in guest appears in your customer database with their check-in history and insight data. You can filter and segment by check-in frequency, last check-in date, first check-in date, visit context, and more. See **Customer Intelligence** for details on building segments.

**Automations** — Checked-in guests are eligible for your always-on Marketing automations. A guest who checks in but doesn't return can be caught by a lapsed guest nudge. A birthday reward can be reinforced by a birthday email. The check-in programme and Marketing automations work in parallel. See **Automations**.

**Broadcasts** — Your checked-in guest database is an audience ready for one-off campaigns. Launching a new menu? Send it to guests who've checked in 3+ times. Running a midweek promotion? Target guests who live nearby. The richer your database, the more precisely you can target. See **Broadcasts**.

***

## The Growing Database

Traditional "loyalty" programmes see engagement drop off after the initial sign-up window. Oddle Check-in is designed with this reality in mind — the programme captures guests and the rewards keep them engaged for the first few visits, but the long-term value is the database itself.

Every checked-in guest is a contact you can reach again through Marketing — with campaigns, automations, and redeemables. The more guests you check in, the larger your remarketing audience grows, and the more effective every campaign becomes.

> **Tip:** Don't think of your check-in programme as a loyalty scheme to maintain forever. Think of it as a guest capture engine that feeds your marketing. The programme brings them in; your ongoing marketing keeps them coming back.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://www.oddle.me/docs/new-guests/check-in/make-every-check-in-work-for-you.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
