DiscoveryOS

Your Operating System

Control, test, measure and optimize customer experience and SKU-level product performance through PA's Search, Personalization, Merchandising and Retail Media.

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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).

ACTIONABLE INSIGHT

Easy to Use Interface

Refreshing hourly gives you live access to drill down on analytics, export data and optimize product discovery.

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.

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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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Get in touch and a representative from our London, Sydney or Vancouver office will reach out.

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SEARCH REPORTING

Search Analytics

Search insights to optimize ATS, empower SEO teams and inform your buyers on stock vs. consumer trends.

More About ATS

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.

Read the ATS Whitepaper

AI Powered Product Discovery

Exceptional eCommerce starts here.

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RECOMMENDER CONFIG

Multi-Modal Algo Control

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.

More About MMR

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

Seller/Supplier Control Centre for Retailers

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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