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 Powered Retail Media
Hyper-Personalized Retail Media
Triple engagement rates, double onsite inventory and grow ad revenue 4-10x
PERSONALIZATION
Enabling Retailers to Launch Ad-Networks
Particular Audience is the first high-tech retail media platform, uniquely capable of powering both organic and sponsored placements through advanced AI and machine learning.
Hyper-personalization guarantees an optimal customer experience and eliminates the glass ceiling in traditional retail media platforms.
ENGAGEMENT
+182% Outperformance vs. Skai's Benchmark Data
The impact of Particular Audience's technology on retail media is profound. While the global average clickthrough rate (CTR) for retail media advertising stands at 0.39%, Particular Audience's AI-powered retail media solutions achieve an impressive 1.1% CTR—a staggering +182% improvement vs. market.
This remarkable performance underscores the effectiveness of Particular Audience's AI in optimizing retail media campaigns.
How Does PA Increase Advertiser Adoption?
Particular Audience will increase advertiser adoption by an average of +60%, through technological and operational efficiency gains.
Ease of use bolsters self-service usability through automated campaign deployment and faster time to results.
Hyper-personalization creates unique search and discovery experiences for customers, meaning more advertisers get to target appropriate shoppers with less wasteful ad delivery.
How Does PA Increase Customer Engagement?
Particular Audience engagement rates are 158% greater than benchmark. This is born of AI-powered hyper-personalization that understands customer context, behavior and intent.
Particular Audience is the first high-tech retail media platform offering hyper-personalized search and recommendations for both organic and sponsored products packed full of advanced AI.
This enables scalable programmatic product placement for brands and retailers, and more intuitive and relevant experiences for shoppers.
How Does PA Increase Retail Media Revenue 4-10x?
Data from Particular Audience shows that in the most extreme cases, manual keyword approaches can make up less than 10% of Retail Media ad spend for slower moving consumer goods.
PA's AI and Machine Learning automates the optimal timing and placement of sponsored products across all search, recommendation and personalization touchpoints onsite.
Creating headroom an order of magnitude (10x) greater for similar retailers who only run manual keyword ad formats today.
INTEGRATION
Easy Integration, Fast Time to Live
Integration is straightforward with low-code options, allowing for a simple copy-and-paste addition to your website, or an entirely headless implementation across all digital channels.
Particular Audience is available as a standalone end-to-end self-service platform or as composable incremental inventory modules to optimise and grow your existing RMP capabilities.
NETWORK GROWTH
An Order of Magnitude Better
In extreme cases, less than 10% of ad revenue can come from manual keyword approaches where AI-powered automation is available, representing 10x upside for retail media networks only offering manual keyword ad formats.
Automation is essential as advertiser adoption and resource investment correlates to scale.
AI-Powered Automation
With Particular Audience, AI autonomously decides the optimal placement and timing of sponsored products.
INVENTORY
Performant, Full Funnel
The market narrative is that the gold standard is to return relevant sponsored products in all search queries, as only Amazon and Walmart achieve today.
To really close the gap, the goal should be to return relevant sponsored product ads with every single page load.
That requires more inventory, and more tech.
The hard fact is, you can only increase inventory once you have solved for relevance, as only the Particular Audience platform truly allows retailers to do.
VISIBILITY
Yield Monitoring & Management
Toggle between metric combinations to assess the health and success in your growing Retail Media business. Ensuring sustained engagement from advertisers and long-run joint business success.
INCREMENTALITY
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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Get in touch and a representative from our London, Sydney or Vancouver office will reach out.
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
PA PRODUCTS
