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Multi-account Meta management, without the manual overhead.

A centralised analytics, automation, and reporting platform built for a live social media agency.

LureAi app screenshot

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.

LureAi centralised dashboard - total models, accounts, comments, and replies at a glance

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.

LureAi analytics overview - followers, views, engagement rate, and conversion tracking per account
LureAi audience analytics - age distribution, gender breakdown, top locations, and active times

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.

LureAi AI auto-reply configuration - keyword triggers and randomised reply rules per account

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

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Jack@SurgoTechSolutions.co.uk

+44 7342 628698

SurgoTech S mark

Jack@SurgoTechSolutions.co.uk

+44 7342 628698

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