CIQ Advertising makes use of advertising dollars to drive profitable market share growth and sustained competitive advantage across all retail media. By applying machine learning and automation to profitability, competitor, sales and inventory data, CIQ Advertising drives results in areas that matter, such as increased share of voice, higher revenue and greater profit margins as opposed to RoAS and other metrics that are not tied to your bottom line.Request a Demo
Successful brands go beyond analyzing advertising campaign performance data and integrate their advertising with retail point of sales, inventory, and competitor search ranking data to measure and optimize the effectiveness of advertising spend. CommerceIQ’s Data and Decision Engine (D2E) collects 1000’s of market signals and customer data points to create a single source of truth. Then, it automatically optimizes advertising spend across high-margin products with healthy inventory and capitalize on conquesting competitive brands that are out of stock.
Share of Voice Builder tracks thousands of constantly changing keywords that impact share of voice across multiple retailers and automatically allocates advertising spend to trending keywords with a low share of search.
Strategy Builder sets business objectives (such as increasing awareness, share of voice, profitability, ROAS, in stock rate, conversion, competitor conquesting, etc.) by product category and creates custom strategies and machine learning-driven automations for 1000’s of actions to achieve those outcomes.
The built-in Budget Pacer and Optimizer incorporates consumer demand, competitor spending patterns and seasonality to define an optimal daily budget plan, ensuring that brands do not over/underspend, while effectively deploying advertising budgets for driving incremental sales.
Unlike other tools that deploy dayparting by either drastically reducing or pausing budgets during off-peak hours, CommerceIQ's Hourly Bidder enables brands to throttle spending by changing bids in real-time. Not only does this allow brands to remain in the auction pool, but it also reduces spending to minimal levels during off-peak hours while automatically identifying and increasing bids during periods of high shopper intent to capture increased consumer spend.