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Recommendations overview

Jonas Østergård Bæk avatar
Written by Jonas Østergård Bæk
Updated this week

The Recommendations feature in Alvie helps marketers cut through noise and complexity by automatically identifying inefficiencies, performance issues, and optimisation opportunities across platforms like Google Ads, Meta, and TikTok.

Rather than digging through fragmented data or relying on manual checks, Alvie surfaces the most important insights – and prioritises them – so you can focus your time where it matters most.

Key aspects of Alvie's Recommendations include:

Actionable insights

Each recommendation pinpoints a specific opportunity or issue (e.g. budget anomalies, underperforming ad groups, missing best practices) and guides you towards resolution.

Prioritisation built-in

Recommendations are automatically ranked based on potential impact, so you know which actions to take first.

Workflow support

You can assign recommendations to team members, update their status (e.g. resolved, snoozed), and collaborate directly within Alvie.

Daily updates

Recommendation data is refreshed daily to ensure you're always working with the most recent insights.

By using Recommendations, marketing teams can reduce wasted spend, move faster on optimisations, and ultimately drive better performance with less effort.


To get started, check out these helpful pages 👇


If you have a great idea for a Recommendation that Alvie is currently not monitoring on your accounts, we're all open for ideas!

You can submit your ideas through this form: https://forms.gle/KRp8JyKJ3GSN2WR99

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