LureAi
Multi-account Meta management, without the manual overhead.
A centralised analytics, automation, and reporting platform built for a live social media agency.

The problem
A social media agency managing multiple Meta accounts, multiple influencers, and multiple clients - running it all through manual processes. Comment moderation outsourced overseas. Reporting built by hand. Content decisions made on gut feel.
The cost showed up in three places: money spent on moderation that wasn't working, hours lost to reporting that should have taken minutes, and editors without the data to know what was actually performing.
What we built
AI comment auto-reply system
Rule-based controls aligned to each brand and campaign. Automated replies replaced outsourced overseas moderation entirely, improving response quality and cutting a recurring monthly cost.
Centralised analytics dashboard
A single view across all Meta accounts. Engagement, reach, and conversion tracked in one place rather than pulled from platform-by-platform exports.
Conversion tracking tied to engagement events
Not vanity metrics. The question wasn't how many comments; it was whether those comments were leading anywhere.
One-click monthly reporting
Social media managers select a date range, generate a client-ready report, and export a PDF analytics summary for influencers and clients. What used to take hours now takes minutes.
Reel comparison tool
Editors select up to three reels and compare engagement metrics side-by-side, including watch time and retention graphs. Evidence-based content decisions instead of instinct.
Webhook-based data ingestion
Near real-time Meta data updates across multiple accounts and influencers, structured around how the agency actually operates.

The challenge worth mentioning
The brief wasn't "build us a dashboard." It came out of structured conversations with the agency owner, the social media manager, and the editing team - three different roles with three different problems and three different definitions of useful.
The risk in that situation is building something that tries to solve everything and ends up trusted by nobody. The call was to build role-specific tools rather than a generic platform, and to cut anything that didn't have a clear owner and a clear job to do. That's what made it usable from day one rather than something that needed a rollout plan.


Where it is now
In active use by the agency across multiple Meta accounts. Moderation is automated, reporting takes minutes, and the editing team has the retention data to make content decisions they can actually defend.

“The brief came from three different roles with three different problems. The job was to build something each of them would actually trust.”
- SurgoTech Solutions
Running an agency with manual processes that shouldn't be manual?
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