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.
SUPPLIER FUNDING
An end-to-end suite offering self-service retailer boost collection build, management and reporting.
Optional interface for suppliers to self manage account and budget, with direct access to sponsored revenue analytics.
TRADE MARKETING
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
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.
UNIQUE SELLING POINT
Personalization delivers 4x more promoted item engagements as compared to rules-based approaches like fixed tenancies. Providing a different website for every customer, solving the needle-in-the-haystack problem and only putting products in front of customers that suit their shopping intent and/or evolving basket mix.
Arming buyers and ad-sales teams with the information they need to drive effective trade negotiation.
Basket mix analysis, competitive choice modelling, search analytics and dependency modelling all work to increase demand from brands to promote and influence their share of basket and share of voice.
VISIBILITY
Toggle between metric combinations to assess the health and success in your growing Trade Marketing revenue line.
CONFIDENCE
Attract higher budgets by demonstrating incremental value to brands - compare how investment translates to brand enhancement, share of voice, and ultimately share of basket.
ALGORITHM CONTROL
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 Multi-Modal Recommendations (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 CONTROL
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
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.
Get in touch and a representative from our London, Sydney or Vancouver office will reach out.
TERM DRILL DOWNS
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
ITEM DRILL DOWNS
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.
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