Complete reporting which analyses interactions with customer service.
Priorize customer tickets tickets from high potential customers or potential churners.
By prioritising the tickets of your VIP customers, you focus your efforts on the customers with the highest LTV.
Evaluate the level of satisfaction based on interactions with customer service. The information is then available in your marketing tools.
Evaluate the appetence of each customer to your product categories. When you launch new products, give priority to the most sensitive ones.
Relaunch abandoned carts with products in the cart, but also with products visited during a previous session.
Identify your VIP customers on your website and offer them a specific message when they log in.
Your website queries Octolis to highlight the relevant product categories for each contact.
In your CRM, sales leads are with website pages visited and marketing email interactions.
Sales leads are scored according to their engagement and deal size potential to be prioritised in your CRM.
Your existing customers are synced into a Google / Facebook Ads audience to be excluded, or retargeted in a different way.
When a contact does not open several emails, it can be very relevant to retarget them via Google / Facebook Ads.
Build custom Facebook or Google Ads audiences by integrating profiles that resemble your top customers.
Identify the passive among your VIP customers and reactivate them via a phone call.
For each customer, you have a list of products to recommend based on purchase history, pages visited, etc.
Tailor your marketing campaigns to your customers' sensitivity to promotions.
Evaluate the level of reactivity of each contact to your messages in order to adjust the marketing pressure.
Calculate the average purchase frequency of your recurring customers and adjust the marketing pressure when you observe an advance or a delay.
Identify passive customers to reactivate as a priority via email, ads, mail, carrier pigeon, etc.
Exclude from your emailings / website pushes products that are below a certain stock level.
Dedicated reporting to analyse the ratio between the total turnover generated by a product and the cost of acquiring customers who have bought that product.
Reporting dedicated to the analysis of appealing products: nb of first-time buyers, single/multi-buyer ratio, margin level, etc.
Complete reporting on the performance of your products: importance of loss-leader products, purchase recurrence, margin level, LTV / CAC ratio, etc.
Ready-to-use reporting to analyse customer retention: loyalty rate, purchase frequency, analysis by cohort according to number of purchases, etc.
A complete analysis of performance by RFM segment: number of sales, average basket, LTV, level of commitment, etc.
Complete reporting to know your customer base: breakdown according to socio-demo criteria, field completion rate, purchasing behaviour, etc.