Upp. OS – transforming Google Shopping
Our unique suite of Machine Learning technologies automates Google Ads for retailers. Upp’s operating system uses a retailer’s proprietary data to make marketing decisions based on business outcomes.
Upp’s AI transforms Google Shopping for Retailers
Data Gathering
Upp. uses 120 data points, connecting proprietary data with the data available from multiple platforms, to compile a complete commercial picture of every SKU.
Product Grouping
Our Product Grouping Alorithm algorithm assigns each and every SKU a group based on its commercial performance and potential.
Campaign Clusters
Each cluster in the Performance Max campaigns is accurately set and then tracked, based on performance potential, not product type or category.
ROAS & Budget
Upp’s Dynamic ROAS Budget Algorithm assigns each cluster a ROAS target and budget optimised to maximize the potential for each cluster.
Performance Max
PMax campaigns are automatically created & continually optimized based on business goals, and your Google Shopping channel is reliably scaled for growth.
Data Gathering
Data Gathering
Inventory Intelligence
Inventory Intelligence is the data gathering and processing part of Upp. OS. It gathers information from previously disparate data sets to form a unique real-time snapshot of a product’s commercial and operational status.
No other solution connects this depth of data and combines it with your proprietary data and business goals in order to create a unique commercial picture of every SKU. This detailed, SKU-level knowledge is constantly optimized and passed to the Product Grouping Algorithm (patent pending) to structure your Google Shopping campaigns.
7 Billion
data points analyzed every day
Product Grouping Algorithm
Retail Intelligence
Unique Campaign Structures for Google Shopping.
The default in Performance Max is that all products are equal. Therefore, PPC managers group products into different categories to assign budgets and ROAS targets.
Think about this – it’s how it’s always been done, but is it right? No product is the same – even a white shirt potentially has different sizes, materials, designs, and popularity, and their stock levels may vary along with their COGs.
Upp. takes a different approach, our technology calculates sales velocity, assesses ROAS data, and all the other factors necessary to automatically group products – whatever they may be, correctly in Performance Max campaigns.
102 Million
Products optimised and managed by Upp.
Dynamic ROAS and Budget Allocation
Retail Intelligence
ROAS and Budget
Once products are grouped according to their performance potential, Upp. applies our Dynamic ROAS and Budget Algorithm (DRBA). This determines the optimal iROAS™ target for each SKU to give all of your inventory the best chance of performing.
DRBA then allocates the optimal budget for each SKU and just like the PGA, this is dynamic, moving budget based on real-time auction dynamics and inventory intelligence, which prevents much of the over and underspend, seen in Performance Max campaigns today. Intelligent ROAS is applied and adjusted as necessary in order to meet your objectives.
130%
increase to our customers’ marketing budgets
Google Performance Max
Retail Intelligence
Google Performance Max
The result of all this AI, is the creation of a suite of Google Shopping Campaigns, automatically grouped to perform, with budgets allocated to deliver the business outcomes you need.
Upp. then makes your marketing decisions, in real-time 24/7, based on your unique inventory and business goals.
Allowing you to step away from resource intensive hands-on campaign management, while giving you clarity and feedback on your inventory performance, that was previously unattainable.