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Project Overview: From Manual Tracking to Marketing Precision
2 Weeks | $550USD estProject Overview: From Manual Tracking to Marketing Precision
AlixPartners’ marketing team wanted to align their CEO’s personal brand with the firm’s overall market authority—but lacked clear visibility into social media content and campaign performance.
By automating data collection and building real-time dashboards, they transformed their marketing strategy and gained actionable insights that elevated both brand presence and reporting efficiency.
The Challenges: Disconnected Data & Inefficient Reporting
The Challenges: Disconnected Data & Inefficient Reporting
AlixPartners’ team faced key obstacles that held back their performance:
AlixPartners’ team faced key obstacles that held back their performance:
📉 No Centralized Social Media Reporting
📉 No Centralized Social Media Reporting
Performance tracking was fragmented across platforms.
Manual reporting made it hard to get a full view of digital impact.
🔍 No Cross-Platform Content Comparison
🔍 No Cross-Platform Content Comparison
Metrics varied across LinkedIn, Twitter, and other channels.
Identifying top-performing content was difficult and slow.
📊 Ad Campaign Tracking Lacked Automation
📊 Ad Campaign Tracking Lacked Automation
Marketing had no streamlined way to measure ROI and engagement.
A/B testing was limited due to lack of consistent performance data.
The Solution: Automation + Optimization = Results
The Solution: Automation + Optimization = Results
With my guidance, the AlixPartners team built a streamlined, data-driven reporting system and refined their social media strategy:
With my guidance, the AlixPartners team built a streamlined, data-driven reporting system and refined their social media strategy:
Connected All Social Media Channels - Integrated data from LinkedIn, Twitter, Google Ads, and more.
Developed Dashboards Using Power BI, Looker Studio, and Excel - Delivered real-time visibility into post engagement, reach, and ad performance.
Automated Weekly and Monthly Reports - Reduced time spent on manual reporting by over 70%.
Ran A/B Tests to Optimize Targeting and Messaging - Used real-time results to adjust campaigns and boost ROI.
The Results: Measurable Marketing Improvements
The Results: Measurable Marketing Improvements
📈 70% Reduction in Reporting Time - Manual reporting hours dropped significantly, freeing time for strategic tasks.
🎯 25% Improvement in Ad Campaign CTR - Targeted ads performed better thanks to A/B testing and performance tracking.
📊 100% Dashboard Adoption Across Marketing Leadership - Real-time dashboards became a go-to tool for decision-making and performance reviews.
How Businesses Made Their Data #ZombieProof
How Businesses Made Their Data #ZombieProof
💡 They went from reporting nightmares to automated insights. See how they did it—download the case study collection now!
📱Mobile Friendly PDF For Download ☝🏼
Key Takeaways: Why This Case Study Matters
Key Takeaways: Why This Case Study Matters
Automating social media and ad reporting saves time and improves visibility.
Centralized dashboards help teams track performance more consistently.
A/B testing and real-time feedback lead to smarter, more agile marketing strategies.
Even high-performing teams benefit from a unified view of cross-channel content.
FAQ's
FAQ's
Can I apply this solution to my organization?
Yes—any business that uses social media and paid campaigns can benefit from centralized reporting and automation.
How long does it take to build a reporting system like this?
Most dashboards and reporting systems can be implemented in 4–6 weeks, depending on platform complexity.
What tools were used in this project?
Power BI, Looker Studio, Google Sheets, and Excel were used to automate and visualize performance.
Do I need technical skills to manage these dashboards?
No. Once set up, the dashboards are user-friendly and designed for non-technical marketing teams.
What kind of improvements can I expect?
Clients typically see 50–70% time savings and 15–30% improvements in campaign performance after implementation.
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