Overview
The Data Performance Module is the latest addition to our suite of powerful data management tools. Designed to combine Product Attribute and Product Performance data, this module provides brands and retailers with an advanced analytics engine that optimises visibility, conversion, and campaign performance across key channels such as Google Shopping, Meta, TikTok, and Pinterest.
This module serves as a natural extension of our existing Data Management and Experimentation modules, enabling deeper insights and enhanced decision-making for product data optimisation strategies.
Why Use the Data Performance Module?
- Unify Data for Smarter Decisions: Link product attributes with performance data to gain a holistic understanding of what drives success.
- Identify Opportunities & Weaknesses: Use advanced segmentation and filtering to pinpoint underperforming products and optimise accordingly.
- Automate and Scale Optimisation: Apply dynamic labels, rules, and automated recommendations to maximise efficiency.
- Power Up Experiments: Seamlessly create granular A/B and multivariate (MVT) tests based on near real-time performance insights.
- Boost Profitability: By ensuring that high-margin and best-selling products receive the best visibility, brands and retailers can significantly improve return on ad spend (ROAS) and overall profitability.
- Reduce Manual Workload: Automating admin and optimisation tasks saves valuable time, allowing teams to focus on proactive, strategic initiatives rather than repetitive data management.
- Enhance Competitive Advantage: With improved analytics and optimisation capabilities, brands and retailers can stay ahead of the competition by reacting swiftly to market trends and consumer behaviours.
Key Features
1. Advanced Product Analytics
- Product-Level Insights: View performance data from any of the supported channels at a feed, category or even individual product level.
- Data Quality Score (DQS) Integration: Understand the impact of product data quality on performance right down to an individual product level.
- Visibility Score: Assists in highlighting data issues and/or optimisation opportunities find out more here - Visibility Score Knowledge Base
- Customisable Data Views using Pivots: Pivot and filter data to surface high-value opportunities. Learn more about Pivots here - Pivots Knowledge Base
- Actionable Intelligence: Identify which product listings need improvement to increase conversion rates and sales performance and carry these into Labels, Experiments and Rules.
2. Intelligent Labelling & Segmentation
- Dynamic Labelling: Automate product labelling based on stock levels, margin, and sales trends. To learn more about labelling using Performance Data, please see our Knowledge Base here - Performance Labels Knowledge Base
- Custom Rule Engine: Define business logic to optimise feeds across multiple sales channels.
- Predictive Performance Indicators: Use AI-driven insights to refine your advertising and promotional strategies.
- Optimise Ad Spend: Ensure budget is allocated to the best-performing products and adjust underperforming listings accordingly.
3. Data-Driven Experimentation
- Create Targeted Tests: Leverage current and historical performance data to experiment on the most impactful segments.
- Real-Time Experiment Tracking: Monitor A/B and multivariate (MVT) test results to make data-backed decisions.
- One-Click Deployment: Instantly apply winning strategies to improve visibility and conversion.
- Minimise Risk & Maximise Insights: Test changes on selected products before applying them across the entire catalogue, ensuring only successful strategies are implemented at scale.
Getting Started
The Data Performance Module is available as an add-on upgrade. To learn more about how it can supercharge your product analytics, reach out to your Customer Success Manager or complete the form below [form].
For step-by-step guidance, check out our full user documentation and best practices guide [link].
To register your interest in the Data Performance Module, please complete the below form: