Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Marketing • 22 Employees

Case Study 6: Marketing Agency

Marketing-optimized case study for Canadian SMBs.

$68,000
Annual Savings
490%
ROI
2.4 months
Payback
Marketing • 22 Employees
Industry Focus

Executive Summary

Content Optimization: AI analyzes past campaign performance to recommend optimal posting times, content formats, and messaging for each client.

Challenge

Solution

  • Content Optimization: AI analyzes past campaign performance to recommend optimal posting times, content formats, and messaging for each client.
  • Campaign Performance Analysis: Automated weekly reports with AI-generated insights and recommendations pulling data from Google Analytics, Meta Ads, Google Ads.
  • Social Scheduling: Intelligent content calendar that auto-schedules posts across platforms with A/B testing variants.

Technical Stack

Key Metrics

28
Client capacity increased from 28 to 38 active clients
32%
Average campaign ROI improved 32%
45%
Content creation time reduced 45%
8
Client reporting time reduced from 8 hours to 1 hour per client monthly

Implementation Timeline

Ready to map your SMB workflow?

We can estimate ROI and scope the right MapleWorkSuite configuration for your team.

Start a Custom Case Study