An end-to-end demand side platform for brand suppliers and sellers to manage budgets, run campaigns and optimize ad-spend. Giving full control to tinkerers or one-click automated product placement for those shorter on time.
AI/ML Sponsored Products
Onsite Sponsored Inventory 2.0
Modular AI/ML powered sponsored components for retailers to embed within established retail media programs.
Or an end-to-end platform for retailers and their brands to run performant cross-funnel campaigns.
Flexible and high performance, built on PA's industry leading personalization, search and recommendation stack.
VISIBILITY
Yield Monitoring & Management
Toggle between metric combinations to assess the health and success in your growing Retail Media business.
CONFIDENCE
Value Proof & Incrementality
Clearly demonstrate incremental value - compare how investment translates to brand enhancement, share of voice, and ultimately share of basket.
360° View on Campaigns & Performance
UNIQUE SELLING POINT
Sponsored Products Within Personalization (+ Vice Versa)
Personalized Retail Media delivers 4x more ad revenue as compared to rules-based approaches like Citrus and Promote.
Customers are recommended relevant sponsored products that suit their shopping intent and/or evolving basket mix.
Brands automate access to in-market shoppers, promote products in competitive context and measure performance from Share of Voice (+30%) to ROAS (~16.4x) with closed loop analytics.
Market First: Control the Logic Powering Sponsored Placements
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 retailers 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 Grows Ad Yield
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.
Measuring Impact to Onsite Conversion Rate
PA AB tests sponsored products embedded within AI powered personalization versus pure 'best item' rank, to guarantee supplier sponsorship never cannibalises sales and engagement for retailers.
This is something we closely monitored on Surfstitch as we rolled out retail media functionality into onsite personalized product placements. All figures are performance of metrics as optimized in the 3 months from lauch.
AI guarantees placement accuracy and analytics ensure retail sales are never cannibalized whilst scaling retail media. Brands like Rip Curl, Billabong, DC and Quiksilver can promote products to in-market consumers without detriment to the retail experience. A win for retailer, brand, and customer.
+38%
Click Through Rate Improvement
15.3x
Average Supplier ROAS
+33%
Attribution Improvement
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Comprehensive Insights to Spur Advertiser Budgets
TERM DRILL DOWNS
Understand How Customers Search vs. What Customers Buy
Detailed search term volume, engagement and sales; as compared to discovered items performance.
Custom reporting available on share of basket, regional sales ratios etc.
ITEM DRILL DOWNS
SKU Level Sales Reporting
ITEM DRILL DOWNS
SKU Level Engagement Reporting
We Also Have Solutions for Retailers Not Ready to Give Up Control
TRADE MARKETING
Easy to Build Boost Collections are Accretive to Fixed Tenancy Packages
Buying and Retail Media teams can deploy boost collections as a way to increase a brand or product's influence within relevant shopping journeys.
TRADE MARKETING
Easy to Target Boost Collections Gives Retailers Control
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.
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.
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Innovative Supplier Sponsorship Applications
Personalizing a Biddable Brand Menu
Menu personalization is something often overlooked on an eCommerce site, but the busier menus are, the less useful they become.
Particular Audience leverages search, browse and historic purchase signals to reorder navigation constituent ranking. Enabling a more convenient and personalized shopping journey increases customer loyalty and converts more often.
The brand menu is pay-to-play, lifting engagement even increases vendor monetization recurrence.
+8%
Click Through Rate Increase
+6.3%
Conversion Rate Increase
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