7Learnings predicts the profit and revenue impact of changes to marketing campaigns at the product level.
Based on your growth ambitions, we optimize the allocation of products across ad groups with specific ROAS/CPC targets, making your marketing campaign more efficient.
We use your full historical marketing and transaction data to deliver predictions that give you an edge over competitors who fail to use all their data.
Example: By analyzing catalog-wide conversion patterns, 7Learnings accurately forecasts demand for brand-new or long-tail SKUs, even those with zero prior sales history.
We optimize Profit after Market Cost, considering predicted returns, logistic costs, tariffs, stock-outs, commission costs, conversion rates, and all other relevant cost factors on the product level.
Example: Automatically adjust ad spend and reorder volumes on items with high return rates, preventing hidden fulfillment and reverse-logistics costs.
We predict the impact of price changes on conversion and consider this in your campaign management on the product level.
Example: When a price drop boosts a product's conversion rate, 7Learnings automatically reduces ad bids to protect your Profit After Marketing (PAM) while securing sales.
Align your marketing decisions with product ordering limitations to avoid out of stock situations and high overstock.
Example: Automatically scale back ad spend on products predicted to stock out within two weeks, preserving ad dollars for SKUs with healthy inventory buffers.
You can optimize towards your profit and revenue targets and get an accurate forecast for marketing cost per product.
Example: Set a target for 5% revenue growth next week, and 7Learnings will automatically reallocate campaign bids across SKUs to hit that target while maximizing net profit.
By implementing product-specific Cost per Click (CPC) steering, a large European fashion brand achieved a 27% increase in profit and a 34% increase in revenue, alongside a 7% conversion uplift.
Using a single Google Shopping campaign with differentiated ROAS targets, a leading fashion retailer saw a 52% profit surge, a 53% revenue boost, and a massive 180% increase in new customers.
By optimizing marketing and pricing together across all their traffic channels, a leading furniture retailer drove a 19% profit increase, 40% more revenue, and a 14% higher revenue per click.
Implementing differentiated CPC steering by product enabled a leading pharmacy retailer to realize a 36% profit uplift, a 26% revenue increase, and an 8% boost in overall sales.
Need to know more? Here are answers to the most common questions.
Our solution utilizes advanced algorithms and machine learning models to analyze raw marketing data, such as conversions, total clicks, paid clicks, marketing spend, stock data, competitor data, and customer data. With this data, our software can make accurate predictions on the impact different marketing steering options have on your margins, future sales and sell through rates. Campaigns can then be optimized in line with business goals, whether that is to maximize profits, maximize revenues, manage inventory levels, or more.
When it comes to marketing AND price optimization optimization, the conventional approach has been to keep them distinct despite the fact that both drive consumer demand and conversion. Cross-marketing optimization refers to the optimization of marketing activities in conjunction with pricing decisions and strategy, a best practice that leads to higher profits.
The majority of our clients start seeing significant improvements in marketing campaign performance within the first 6 weeks of using our solution.
We recommend using a mix of Performance Max Campaigns and Standard Shopping Campaigns on Google Shopping. Standard Shopping Campaigns are great as they enable ad-group specific tROAS steerings.
We have a standard data request for historical traffic data on the product level. Much of this data can be extracted automatically from your campaign systems using our APIs to Google Ads and Google Analytics.
We typically see more than 10% profit increase after marketing costs, often also driven by marketing cost reductions.
We aim to have a full implementation after 3 months, with the first optimizations going live after 6 weeks.
Book a demo with one of our experts and learn how our software can grow your profit and revenue.
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