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.

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.
.avif)
+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.
.avif)
+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.
.avif)
Benefits
+2
Date
·
Duration
Faster performance reporting
.avif)
+2
Date
·
Duration
Higher engagement rates
.avif)
+2
Date
·
Duration
Better content decisions
.avif)
+2
Date
·
Duration
Increased campaign ROI
.avif)
Who is this for?
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.
.avif)
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.
.avif)


