Our focus
Making advertising across marketplaces both easy and profitable.
Watch our video!
The way we work
1
Product-level
Profit analysis
For every individual product we determine the Net Profit contribution.
Beyond prices and margins we can take Customer Lifetime Value, shipping costs, product return rates and other variables into account.
Depending on your strategy we can use this data as the foundation for profit-based advertising as opposed to the traditional sales-based advertising.
1
Product-level
1. Profit analysis
For every individual product we determine the Net Profit contribution.
Beyond prices and margins we can take Customer Lifetime Value, shipping costs, product return rates and other variables into account.
Depending on your strategy we can use this data as the foundation for profit-based advertising as opposed to the traditional sales-based advertising.
2
Tailor-made
AI-Algorithm
Together we tailor the AI-Algorithm to your needs.
Every webshop is unique. The chosen advertising approach and campaign structure needs to reflect your typical business and needs. When evaluating the best options for your shop we look at things like:
– Product category (fashion, cosmetics, home appliances etc.)
– Marketplace (We currently support Google and Amazon. Bol.com beta is scheduled for May 2022)
– Campaign volume and historic data available
– Strategic and financial goals of the webshop manager
2
Tailor-made
2. AI-Algorithm
Together we tailor the AI-Algorithm to your needs.
Every webshop is unique. The chosen advertising approach and campaign structure needs to reflect your typical business and needs. When evaluating the best options for your shop we look at things like:
– Product category (fashion, cosmetics, home appliances etc.)
– Marketplace (We currently support Google and Amazon. Bol.com is in beta)
– Campaign volume and historic data available
– Strategic and financial goals of the webshop manager
3
Cross-marketplace
Keyword automation
NEURALsearch automatically identifies and books the most profitable keywords.
Our cross-marketplace analytics allows us to identify the most profitable keywords quickly and upload them automatically across marketplaces and campaigns.
Keywords are the foundation on which every online marketing strategy is built. Our proprietary technology is based on the latest DNA-sequencing techniques. Upon request we can make keywords available for SEO and other marketing purposes.
3
Cross-marketplace
3. Keyword automation
NEURALsearch automatically identifies and books the most profitable keywords.
Our cross-marketplace analytics allows us to identify the most profitable keywords quickly and upload them automatically across marketplaces and campaigns.
Keywords are the foundation on which every online marketing strategy is built. Our proprietary technology is based on the latest DNA-sequencing techniques. Upon request we can make keywords available for SEO and other marketing purposes.
4
AI-Powered
Bidding
For every individual product/keyword combination we predict the bid that is expected to yield the most Sales or Net Profit, depending on your preferences.
In our experience the effectiveness of the bidding algorithms that are offered by platforms like Google, Amazon or Bol.com differs a lot. They often also differ by product category and country.
We either use one of our proprietary algorithms or we use a standard platform-algorithm. Whatever works best for you.
3
AI-powered
4. Bidding
For every individual product/keyword combination we predict the bid that is expected to yield the most Sales or Net Profit, depending on your preferences.
In our experience the effectiveness of the bidding algorithms that are offered by platforms like Google, Amazon or Bol.com differs a lot. They often also differ by product category and country.
We either use one of our proprietary algorithms or we use a standard platform-algorithm. Whatever works best for you.
5
Machine learning
Continuous improvement
With every new conversion or other data point NEURALsearch will systematically learn and improve.
And should requirements change or should we see reason to test new approaches, we can discuss how to optimise the algorithms for your needs.
5
Machine learning
5. Continuous improvement
And it only gets better…
With every new conversion or other data point NEURALsearch will systematically learn and improve.
And should requirements change or should we see reason to test new approaches, we can discuss how to optimise the algorithms for your needs.
Real-life example
(Google Shopping)
Reading example: In ‘Month 0’ we took over the bidding for Google Shopping advertisements. In month 3 the Sales Index was at 307, up from 100 in Month 0. This represents a sales increase of 207%. In that same month the index for Cost of Sales was at 40, representing an advertising cost decrease of 60%.
‘Sales’ is defined as the revenue (or: Conversion Value) resulting from Shopping advertisements as registered by Google.
‘Advertising Cost of Sales’ (ACoS) is defined as: advertising expenses divided by the corresponding ‘Sales’. E.g. if a retailer spends €20,- on advertising to generate €100,- in Sales, then the ACoS is 20%.
