Hey mobile devs!

We often think of our job as being all about crafting beautiful UIs and smooth user experiences. But what happens after the app is launched? How do we know if our marketing efforts are actually paying off? That's where a powerful tool like Google BigQuery can make a huge difference.

If you're running a mobile development company, you're likely using various services to acquire and understand your users. Two of the most common are:

• Google Ads: For running user acquisition campaigns.
• Firebase Analytics: For tracking in-app events and user behavior.

Both of these are fantastic on their own, but the real magic happens when you bring their data together. And that's where BigQuery comes in.

The Power of Connected Data

By linking your Google Ads and Firebase accounts to BigQuery, you can get a unified view of your entire user journey. You can track a user from the moment they click on an ad to the specific actions they take within your app. This is a game-changer for optimizing your ad spend. A key benefit of this integration is the ability to use specific Firebase events as conversion goals in your Google Ads campaigns, allowing for more targeted and effective advertising.

Imagine being able to answer questions like:

• "Which ad campaign is bringing in the users who are most likely to make an in-app purchase?"
• "What's the average lifetime value of a user acquired from a specific ad creative?"
• "Are users from a certain geographical location more engaged with a particular feature?"

With BigQuery, you can answer these questions and more.

A Simple BigQuery Example

Let's say you want to find out which of your ad campaigns are bringing in the most engaged users, based on a custom event you've set up in Firebase called level_completed. Your query in BigQuery might look something like this:

SELECT
  ad_campaign.name AS campaign_name,
  COUNT(DISTINCT user.user_id) AS engaged_users
FROM
  `your_project.firebase_events.events_*` AS events
JOIN
  `your_project.google_ads.ad_clicks` AS ads
  ON events.user_id = ads.user_id
WHERE
  events.event_name = 'level_completed'
GROUP BY
  campaign_name
ORDER BY
  engaged_users DESC;

This query joins your Firebase event data with your Google Ads data and gives you a list of campaigns ranked by the number of users who have completed a level in your game. This kind of insight is invaluable for deciding where to allocate your marketing budget.

Why Bother?

By leveraging BigQuery, you can:

• Make data-driven decisions: Stop guessing and start making informed choices about your marketing strategy.
• Improve ROI: Focus your ad spend on the campaigns that deliver the most valuable users.
• Understand your users better: Get a deeper understanding of how users interact with your app.

We Can Help!

Feeling a bit overwhelmed by all this data talk? Don't worry, we've got you covered. At Bitscorp, we specialize in both mobile development and data analysis. We can help you set up your data pipelines, build insightful dashboards, and make the most of the data you're already collecting.

Ready to level up your mobile marketing? Get in touch with us today!