Analyze social performance across platforms

Build a cross platform social media analytics tool that pulls engagement metrics from every network, applies AI social media analytics to find winning content and posting times, and delivers a consolidated report with recommendations.

Useful for
Social media managers, brand teams, and content strategists responsible for managing organic social media presence across multiple platforms.

Copied

On a schedule ([schedule frequency, e.g. daily/weekly]), the automation connects to each social media platform ([social media platforms, e.g. Instagram, Facebook, LinkedIn, X]) via API, pulls engagement metrics for all posts, normalizes the data to account for platform specific metric definitions, aggregates the information by content type, posting time, and campaign theme, then uses AI to analyze patterns and identify high performing content characteristics, optimal posting times, and underperforming content areas. The automation generates a consolidated performance report with specific insights and recommendations, then delivers it to the social media team via [team communication channel, e.g. email, Slack].

Guided by AI

Build your own with Maia

Start with an app-agnostic prompt, then let Maia guide you to the right apps and workflow.

Adapt at speed with 
visual-first automation and AI

Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.

+2

Date

·

Duration

Problem

Social media teams managing multiple platforms manually log into each network to extract engagement metrics, compile data into spreadsheets, and analyze performance patterns. This manual consolidation creates reporting delays, makes comparison across platforms difficult, and prevents teams from quickly identifying which content types and posting strategies drive the best results.

+2

Date

·

Duration

Solution

On a scheduled interval, the automation connects to each social media platform via API, pulls engagement metrics for all posts, normalizes the data to account for platform specific metric definitions, aggregates the information by content type, posting time, and campaign theme, then uses AI to analyze patterns and identify high performing content characteristics, optimal posting times, and underperforming content areas. The automation generates a consolidated performance report with specific insights and recommendations, then delivers it to the social media team.

+2

Date

·

Duration

Impact

Social media teams see which content and posting strategies work on every platform without waiting on manual reports, so effort shifts toward what drives results.

Benefits 

Who is this for? 

Social media managers, brand teams, and content strategists responsible for managing organic social media presence across multiple platforms.

Success stories

Adapt at speed with 
visual-first automation and AI 

Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.

Similar use cases 

Find inspiration by the type of content that fits your goals.

Date

·

Duration

Generate timely content for every channel

An AI agent scans industry news feeds and social trends daily for relevant topics, decides which ideas are worth pursuing, and generates content tailored to each format and channel, then publishes each piece to the CMS and social scheduling tool. It chooses its approach based on the topic and audience rather than following one fixed template.

Generate timely content for every channel

Date

·

Duration

Compile market research reports

When a team member submits a research request form with a target market, research focus, and time frame, an AI agent runs web searches, decides which sources are credible and relevant, and keeps searching until the question is covered. It synthesizes the findings into a structured research document saved to the shared drive and sends the link to the requester.

Compile market research reports