AI-Powered Analytics and Predictive Reporting Platform for an AEO Agency
Minuttia helps brands win visibility across Google and AI search, and its analysts were spending days each week assembling reports from scattered data. Through AI development, Acquaint Softtech overhauled its analytics with automated ETL pipelines, machine learning models, dynamic dashboards, and scheduled reporting. Weekly reporting dropped from several days to a few hours, and campaign teams can now anticipate engagement drops before they happen.
60+
B2B SAAS CLIENTS SERVED BY MINUTTIA94%
AVERAGE CLIENT RETENTION RATE4
AI ANALYTICS COMPONENTS DELIVEREDCLIENT STORY
Minuttia is an AEO agency that helps brands dominate the future of search, from Google to ChatGPT and beyond. Its services span Google and AI search strategy, human and AI content creation, digital PR, Reddit marketing, and agent analytics and reporting. The agency works with more than 60 B2B SaaS clients and reports a 94% average client retention rate.
Behind that work sat data from many sources: website traffic logs, CRM records, and campaign performance metrics spread across multiple platforms. Turning it into weekly reports took analysts several days. Minuttia partnered with Acquaint Softtech for AI development to automate data collection and reporting, build predictive models, and give its teams AI-driven dashboards.
Country
Greece
Industry
AI & Industrial Technology
Team Size
2-5 Professionals
Hours Invested
1,560 Hours
Technology
AI
Project Background
Minuttia wanted its analysts focused on strategy, not spreadsheet assembly. Acquaint Softtech approached the engagement as a complete AI-powered analytics overhaul, connecting the agency's data sources and turning them into insights its teams could act on.
Automated Data and Reporting: Collecting data from multiple platforms automatically and replacing manual weekly reporting.
Predictive Intelligence: Forecasting user engagement trends, campaign effectiveness and potential client churn.
AI-Driven Dashboards: Giving teams and leadership direct access to insights without relying on technical expertise.
"What stood out was their ability to translate complex AI and ML concepts into practical business tools."
Research & Ideation
The AI development work began with a full assessment of Minuttia's data landscape, from website traffic logs and CRM systems to campaign performance metrics. That assessment shaped a modular approach built around how the agency's analysts actually work.
Mapping Every Data Source
Reviewing each platform feeding Minuttia's reporting before deciding how to bring the data together.
Modular Data Pipeline
Designing a pipeline that cleans, preprocesses, and standardizes data so every model and dashboard starts from the same reliable base.
Prototype, Test, Refine
Building prototypes, gathering feedback, and refining models so the final system was usable, not just technically impressive.
Creative Design
Design here meant putting AI insight in the hands of people who don't write code. Working closely with Minuttia's in-house analysts, the team shaped dynamic dashboards that marketing managers can explore on their own to understand trends, test scenarios and make informed decisions. Leadership receives scheduled summaries that highlight anomalies and trends, so insight arrives without anyone asking for it.
Project Challenges
Data Spread Across Platforms
Traffic logs, CRM data, and campaign metrics lived in separate systems. Each report meant pulling and reconciling data by hand.
Days Lost to Weekly Reporting
Analysts spent several days every week preparing reports, leaving less time for strategy and client work.
Reactive Campaign Management
Without predictive signals, drops in engagement or early signs of client churn were noticed only after they happened.
Insights Locked Behind Expertise
Leadership waited on manual summaries, and non-technical team members could not explore the data directly.
Our Solutions
Acquaint Softtech delivered an end-to-end AI analytics system, from data collection through prediction to reporting, built in close collaboration with Minuttia's analysts.
Automated ETL Pipelines
Pipelines that consolidate data from multiple platforms into a central database, removing manual data gathering.
Data Standardization Layer
A modular process that cleans, preprocesses, and standardizes incoming data so models and dashboards stay consistent.
Predictive Machine Learning Models
Models that predict user engagement trends, campaign effectiveness, and potential client churn.
Dynamic Insight Dashboards
Interactive dashboards that let teams explore insights without relying on technical expertise.
Scheduled Leadership Reporting
Reporting tools that deliver automated summaries to leadership, highlighting anomalies and trends.
Custom Functionalities
Beyond the core pipeline, the AI development team built features shaped around how an AEO agency runs campaigns day to day.
Engagement Drop Detection
Models that flag falling engagement patterns early, so campaign teams can adjust messaging before results suffer.
Client Churn Prediction
Predictive signals that help campaign managers spot potential churn and step in proactively.
Campaign-Specific Predictive Metrics
New predictive metrics added for specific client campaigns as Minuttia's priorities shifted.
Self-Serve Scenario Testing
Dashboards where marketing managers can test scenarios and read trends without diving into code.
On Going Support
Throughout the engagement, Acquaint Softtech worked as part of Minuttia's agile process and kept the system moving with the agency's priorities.
Full Agile Participation
The team attended sprint planning, daily stand-ups, and review meetings alongside Minuttia's staff.
Next-Day Change Requests
Clarifications and change requests were addressed within a day, keeping work moving.
Iterative Model Refinement
Models were refined through feedback cycles so predictions stayed practical and actionable.
Project Outcome
The AI-powered analytics overhaul brought tangible results across Minuttia's operations. Weekly reporting tasks that once took analysts several days now take a few hours, freeing them to focus on strategy. Leadership accesses meaningful insights directly through dashboards instead of waiting for manual summaries.
Campaign managers can now anticipate engagement drops and potential churn and act early. In one high-profile campaign, the models flagged a drop in engagement hours before the team would have noticed it manually, allowing messaging to be adjusted in real time.
India (Head Office)
203/204, Shapath-II, Near Silver Leaf Hotel, Opp. Rajpath Club, SG Highway, Ahmedabad-380054, Gujarat
USA
7838 Camino Cielo St, Highland, CA 92346
UK
The Powerhouse, 21 Woodthorpe Road, Ashford, England, TW15 2RP
New Zealand
42 Exler Place, Avondale, Auckland 0600, New Zealand
Canada
141 Skyview Bay NE , Calgary, Alberta, T3N 2K6
Your Project. Our Expertise. Let’s Connect.
Get in touch with our team to discuss your goals and start your journey with vetted developers in 48 hours.