MMP is a structured system for planning, managing, and optimizing marketing campaigns. It includes analytics, performance tracking, budget management, and projection analysis to improve ROAS and campaign efficiency.
MMP provides an Analytics Dashboard and an Insights Module to track key metrics like ROAS, CTR, CPM, CPC, and conversions. The Projection Module further enhances analysis by allowing users to create, edit, and evaluate performance forecasts based on actuals.
Performance Module: Categorizes campaigns into Super Performance, Performance, Average, and Non-Performance based on ROAS trends.
Projection Module: Enables users to create and edit projections and also helps in comparing them with actual performance data for better decision-making.
Budget Module: Tracks daily ad spends, prevents fund shortages, and sends low-fund alerts.
Learning Limit Module: Identifies campaigns stuck in Learning Limited and suggests fixes.
Order Overlapping Module: Analyzes discrepancies between Meta orders and Shopify reports to improve revenue tracking.
Yes! MMP allows customization of ROAS benchmarks, attribution settings, projection models, budget alerts, and KPI views to align with business goals.
This module is designed to analyze product performance using different grading criteria such as Product ROAS Grade, Variant ROAS Grade, Visitor Conversion Grade, Category Wise Performance, and Life Cycle of Products. It helps businesses optimize their marketing efforts on platforms like Meta and Google by providing insights into sales, inventory, and customer interactions.
By tracking ROAS and product lifecycle metrics, the module enables businesses to identify high-performing products, optimize ad spends, and allocate budgets efficiently. The insights help refine audience targeting, ad creatives, and bidding strategies for Meta and Google campaigns.
The module offers two main views:
Dashboard View: Provides visual insights through graphs, charts, and summary metrics for quick decision-making.
Table View: Displays detailed product-level and category-wise data with sorting, filtering, and export capabilities for deeper analysis.
Yes, the module allows users to customize dashboards and tables with filters for date ranges, product categories, ROAS grades, and other key metrics. Users can also export data in multiple formats such as CSV and Excel for further analysis.
It tracks a product’s grade transitions over time (e.g., Low → High ROAS), helping analyze performance trends and make data-driven decisions on marketing and inventory.
Selecting a single date displays data for the last 30 days, providing insights into recent performance trends across all metrics.
It provides deep insights into ad performance across Meta and Google, tracks conversion rates, analyzes ROAS, and evaluates creative and audience effectiveness to optimize marketing strategies.
It tracks user behavior across different customer journey stages, helping identify drop-offs, measure conversion rates, and improve ad efficiency.
The ROAS Analyzer compares projected vs. actual ROAS, highlighting discrepancies and recommending actions to maximize returns on ad spend.
It provides dashboards and tables that display key metrics like impressions, clicks, conversions, ROAS, and spend trends, enabling data-driven decisions.
Yes, users can apply filters such as Account ID, campaign type, date ranges, and performance grades, along with export options for further analysis.
It offers an overview of all active Meta campaigns, including campaign details, ad set performance, and ad-level insights.
Yes, the module provides detailed metrics such as ROAS, Spend, CPM, CTR, and conversions at all levels.
Yes, users can filter campaigns by status, performance, budget, and time range for customized insights.
Yes, the module supports drill-down functionality to view granular insights at the ad set and ad levels.
You can select a custom date range to analyze historical campaign trends and performance over time.