Meta & Google Best Practices for Mobile App Promotion

Last updated: July 4, 2025

Overview

This document outlines best practices for promoting mobile apps using Meta (Facebook and Instagram) and Google platforms. These practices are designed to improve Return on Ad Spend (ROAS), drive high-quality app installs, and create a sustainable ecosystem between your web and app audiences.


Meta Best Practices

A. Strategy for Improved ROAS in Meta Web Campaigns

Unified Purchase Event Tracking

  • Goal: Improve ROAS of existing web campaigns.

  • Method:

    • Use a common purchase event that captures purchases from both website and app.

    • Implement a common Meta Pixel and SDK (Meta Events Manager) setup for both platforms.

    • This combined data improves:

      • Ad delivery optimization

      • Audience building (Custom and Lookalike)

      • Cross-platform performance tracking

Expected Outcome:

  • More robust event signals

  • Better ad optimization

  • Higher quality Lookalike Audiences

  • Improved ROAS for both app and web sales campaigns


Strategy for Driving App Installs

Campaign Type: App Install Campaigns (App Ads)

Objective: Increase app downloads from high-quality users

Key Audience Sets:

Audience Type

Description

Lookalike Audiences

Create audiences that resemble your top customers. For example, generate Lookalikes from users who made a purchase in the app in the last 30 days.

Custom Audiences (Retargeting)

Retarget users who visited your website but haven’t installed the app. These users are already familiar with your brand and more likely to convert.

Engaged App Users

Target active users with in-app promotions or cross-sell offers.

Optimization Tips:

  • Optimize for App Events (e.g., purchases, registrations), not just installs.

  • Use deep links to improve user experience post-click.

Expected Outcome:

  • Higher volume of quality app installs

  • Increased downstream events (add to cart, purchase)


Sales Campaign Strategy for App Audience

Campaign Objective: Maximize conversions among high-intent app users

Targeting Strategy:
  • Audience: App users who added to cart in the last 30 days but did not purchase

  • Campaign: Sales Objective Campaign (Conversions)

  • Use Dynamic Ads to show relevant products.

  • Use In-App Retargeting with incentives (discounts, reminders).

Expected Outcome:

  • Stronger engagement with existing app audience

  • Higher conversion rates and improved ROAS


Holistic Funnel Strategy on Meta

Funnel Stage

Audience Target

Campaign Type

Optimization

Awareness

Broad/Interest

Video View, Reach

Impressions

Consideration

Website Visitors

App Install Campaigns

Installs

Conversion

Add-to-Cart Users

Sales Campaign

Purchases


Google Best Practices

Universal App Campaigns (UAC)

Campaign Objective: Drive high-quality app installs and in-app actions

Best Practices:
  • Use all creative formats: text, video, image assets

  • Set clear conversion goals: e.g., purchase, sign-up, or level complete

  • Link Google Analytics for Firebase to track in-app behavior

  • Segment campaigns by user value (e.g., high LTV users)


Google Ads App Campaign Setup

Setting

Best Practice

Bidding Strategy

Target CPA or ROAS based on install/purchase goals

Audience Targeting

Google uses automated targeting; upload custom audiences (e.g., previous purchasers) for value-based targeting

Asset Groups

Use multiple creatives and messages (at least 4 per type)

Measurement Setup

Firebase or 3rd-party MMP; define events like purchases, subscriptions, etc.

Expected Outcome:

  • Streamlined app installs from Google's wide network (Search, Display, YouTube, Play Store)

  • Scalable performance with automated optimization


Measurement & Reporting Framework

Metric

Purpose

Cost per Install (CPI)

Measure the efficiency of app install campaigns

Install-to-Purchase Rate

Track install quality and downstream value

Return on Ad Spend (ROAS)

Gauge campaign profitability

Lifetime Value (LTV)

Understand long-term user value

Event Funnel Drop-offs

Identify where users stop converting