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Product Scoring

• Consolidating data sources
• Modeling, standardization & weighting
• Scoring, labeling and optimization rules
• Multiple and multi-lever activations

Our DM01 module makes it possible to gain responsiveness to internal and external factors and thus considerably increase the probability of conversions.

Your product catalog is dynamic and has thousands of references all with different performance and characteristics. This varies depending on demand, seasonality, brand popularity, net margin, stock level, conversion rate, average cart, etc.

Mixing analytics data & first party data opens the door to a multitude of marketing applications.

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Over Zombies

• Analysis of invisible products on Shopping (zombies)
• Natural Language Processing
• Optimizing keywords and QS
• Re-evaluation of bidding strategies and pushes

Our solutions use the power of Natural Language Processing and Product Scoring to enrich SKUs without data or "zombies", thus making it possible to revalue certain products according to their probabilities of sale.

3 main factors impact the display of your products on Google Shopping:

The quality of the offer
The level of bidding
Internal competition between products

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Forecast Trends

• Real-time visualization of market trends by segment
• Impact of variations on your business
• Demand prediction tool on your products or services
• Policy recommendations

The demand in the market varies dynamically over time, seasons, holidays, days of the week, hours of the day, etc.

Our algorithms allow us to provide you with valuable insights to situate you in relation to trends in your market. The analysis of the impact of variations on your business makes it possible to react better to the dynamics.

As for the demand forecast, it allows us to recommend the ideal media budget for the achievement of your objectives, but also to ensure an optimal supply.

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Attribution

• Consolidation of data sources (online & offline / impressions & visits)
• Retention
• Multiple and multi-lever activations
• Dashboarding

Your customers and prospects have different backgrounds and react differently depending on the levers. Analyzing performance at the last click does not allow you to have a fair view of the performance of your marketing actions.

Optimize your media mix thanks to an attribution/contribution algorithm that will take into account all the points of contact with your targets. Whether it is impressions or visits to your levers, the paths are taken into account in order to control your performance directly in your tools.

Thus, you will be able to allocate budgets in a relevant way on your various acquisition levers.

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Audience Selector

• Consolidation of data sources (CRM / online / offline)
• Retention
• Activations on your media platforms
• Dashboarding

Your messages are more impactful when they are addressed to the right audiences. Our solutions allow you to better know your target to better address it.

Using your analytics tool or CRM, we set up clustering analyses on your first-party data, in order to identify and categorize your customers and prospects.

These segments emerge as a result of analyzing the proximity links and common trends found between the individuals in your database. The result is a list of homogeneous groups sharing the same characteristics, which can be activated in your different acquisition platforms.

For example, RFM analyses make it possible to score your customers based on 3 indicators: Recency; Frequency; Amount. This allows you to adapt your strategies according to these criteria and build lists of differentiated audiences, in order to adjust your advertising aggressiveness.

The calculation of Customer Lifetime Value is also a necessary step in order to know the value of the customer lifecycle and take it into account in its acquisition strategies.

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