DiscoveryOS
Report on, compare periods and drill down into customer behavior and tactic performance gained through PA's Search, Recommendations, Merchandising and Retail Media products.
CONFIGURATION & ANALYTICS
Granularity Like You've Never Seen
The PA WebApp allows you to configure setups and analyse results down to the algorithm level (in a single slot, in a single widget).
WIDGET DRILL DOWNS
Widget, Route & Tactic Level Reporting
Particular Audience leverages your omni-channel transactional, search and browse data to understand how your merchandising, assortment, allocation and availability helps or hinders your retail business.
Providing actionable insights to leverage across PA's Search, Merch, Recommendation and Retail Media product areas.
TACTIC DRILL DOWNS
Algorithm Level Insights & Optimization
ITEM DRILL DOWNS
SKU Level Sales Reporting
ITEM DRILL DOWNS
SKU Level Engagement Reporting
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SEARCH REPORTING
Search insights to optimize ATS, empower SEO teams and inform your buyers on stock vs. consumer trends.
TERM DRILL DOWNS
Understand How Customers Search vs. What Customers Buy
Detailed search term volume, engagement and sales; as compared to discovered items performance.
TERM DRILL DOWNS
Identify Zero Search Result Terms ASAP
PA's Adaptive Transformer Search works wonders to reduce zero search result terms, applying the latest AI and harnessing the power of LLMs to intuitively understand a customer's search intent.
Zero search terms still occur, and that means its time to tune the Vertical Tuned Model setup on your website.
Our white glove service ensures succinct problem identification and resolution via model enhancement.
AI Powered Product Discovery
Exceptional eCommerce starts here.
RECOMMENDER CONFIG
We believe Recommendation Systems are one of the most undervalued technological enablers in eCommerce, often limited to a handful of carousels using basic 'Viewed With', 'Bought With' logic, or worse aggregate tactics such as 'Popular Items'.
PA's Multi-Modal Recommendations offer extreme dexterity, leverage a combination of anonymized behavioral collaborative filtering, natural language processing, and computer vision to power a different website for every customer across every single product list, carousel or rank/sort onsite.
ALGORITHM CONTROL
Manage Data Longtails with Cascades
Recommendation quantity will differ based on where algorithms run across the funnel, and in respect to different signals a customer implicitly shares during their browsing and basket building.
Particular Audience MMRs allow you to create cascades of logic to allow 'next best algorithm' fall backs depending on the available recommendation results each algorithm has for each instance a request is made.
For example, a brand new item to site will have no 'Viewed Together' or 'Bought Together' data, creating a cold start problem: this is solved through natural language (NLP) or computer vision (CV) algorithms that understand who and where that item needs to be pushed in order to enhance discovery.
Algorithm Level Configuration & Reporting
ALGORITHM CONTROL
Algorithm Level AB Testing
Not sure what algorithm to run as top priority in a cascade? Scale of data available usually correlates with accuracy of prediction, but the PA platform allows you to AB test algorithms at the same level of a cascade and then measure their exact performance against one another from engagement through to sales attribution.
ALGORITHM CONTROL
Recommendation Filters
Comprehensive filtering setup allows you to run highly custom recommendation strategies in different areas of your site.
For example: only recommend full price items on journeys where a customer has not seen an item on discount; only recommend items from the same brand; limit cross sells to items coming from the same distribution centre or store. The combinations and refinement is limitless.
ALGORITHM CONTROL
Price Parameters
Drive up-sell, or high converting down-sells in hyper targeted recommendation strategies.
MERCHANDISE CONTROL
Easy to Build Boost Collections
Merchandise, buying, retail media and eCom teams can achieve goals by building and deploying boost collections.
MERCHANDISE CONTROL
Easy to Target Boost Collections
Target specific collections to defined Routes (URLs), Widgets or allow them to run everywhere on site that Particular Audience algorithms deem the item to be relevant to the consumers intent with a high probability of engagement and purchase.
Get detailed analytics which you can use to report back to brands whom you may have sold a boost inclusive package to, and/or internal stakeholders on how boost and bury strategies influence sell through rates.
RETAIL MEDIA MANAGEMENT
An end-to-end suite from supplier account and budget management, through to brand mapping, sponsored revenue analytics and supplier specific drill downs.
METRIC DRILL DOWNS
Yield Monitoring & Management
Toggle between metric combinations to assess the health of and supplier success in your growing Retail Media business.
METRIC DRILL DOWNS
Value Proof & Incrementality
Clearly demonstrate incremental value to brands - compare how their investment translates to brand enhancement, share of voice, and ultimately share of basket.
Extreme Visibility on Campaigns & Performance
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