In marketing automation, the era of “basic” automation is behind us. Sending an email triggered by an event is good.
Sending the right content, to the right person, at the right time is better.
And above all: sending the right product recommendation, the one that truly matches what the customer wants, sometimes even before they realise it themselves. This is exactly what Probance One enables, thanks to a unique combination of predictive AI, automated targeting and intelligent recommendation blocks seamlessly integrated into your campaigns.
1. Personalise the buying journey without asking a single question: AI does the analysis for you
One of the key strengths of Probance One lies in its ability to automatically analyse each customer’s individual history and combine it with trends derived from the behaviour of your entire customer base in order to identify:
- their preferred categories,
- their usual brands,
- their most recent visits, items added to basket and interests,
- their latest purchases,
- trending products aligned with their behaviour.
Result:
👉 you deliver truly relevant product recommendations without any manual configuration, and without ever explicitly asking for customer preferences.
In practical terms:
✔ You automatically recommend:
- products from each customer’s preferred categories
- trending products aligned with their behaviour
- relevant price drops, new arrivals or back-in-stock items
- the most compatible complementary products, powered by Cross-Sell analysis
All without creating complex segmentations, writing SQL queries or setting up manual rules: AI does it for you.
Useful resources :
👉 Include personalized product recommendations into your emails
2. Insert dynamic recommendations directly into your emails
Within the configuration interface:
– The Personalised Offer section allows you to embed product blocks in your campaigns that are automatically updated for each recipient.
Always make sure to configure a personalised recommendation selection rule in the Personalised Offer section of your campaign. This step is essential, just like adding the recommended product display block in the editor, to ensure that recommendations are correctly generated and properly displayed in the email.
Smarter recommendations with advanced filters
To further refine your recommendations, Probance One allows you to use business filters without requiring any technical expertise.
For example, you can:
Filter by:
- products in stock
- products from a specific category
- specific brands
- retail price (incl. VAT) or discounted retail price (incl. VAT)
- launch date
- products on promotion
- products with recent price drops
Exclude:
- low-margin products
- specific ranges
- entire categories
- products already purchased
All in just a few clicks.
Useful resources:
👉 Video : How to filter your product recommendations to only the categories that matter to you? A dedicated video explains how to apply these filters to better target what matters to you.
Within the template:
– You can choose between two types of selections:
RECO offers
Recommendations generated by Probance’s algorithms:
- Trending products
- Personalised best sellers
- Cross-sell
- Basket-based
- Visit-based
- Based on recent behaviour
- Full catalogue
PERSO offers
Products already known to the recipient: recently viewed items, previously purchased products, items added to the basket… as well as any other relevant interactions depending on your project.
These preconfigured blocks (list or column layout) automatically include:
- product image
- name
- price
- URL
- description
- custom CTA
Simply insert the Product Recommendation block, choose the number of items (up to 6), and you’re done. No code. No scripts. No additional feeds.
To discover the full process for preparing your template to display product recommendations, please refer to our dedicated resource:
👉 Include personalized product recommendations into your emails
Your template is now ready: your contacts will see product recommendations tailored to their profile as soon as the campaign is sent.
3. “Quarantine” management: reducing repetition to enhance the customer experience
In an environment where inboxes are saturated, repeatedly promoting the same product is one of the biggest customer irritants.
This leads to:
- fatigue
- a drop in click-through rates
- a feeling of marketing pressure
- a loss of perceived relevance
To prevent this, Probance One includes a strategic feature: the automatic pausing of recently recommended and purchased products, commonly referred to as quarantine management.
Automatic pausing: a key mechanism for ensuring recommendation relevance
Once recommended, a product can be excluded from future suggestions for a defined period (15, 30, 45 days, etc.). If the product is purchased, it is automatically placed in quarantine for 6 months, except in the case of a repurchase scenario.
During this period, the product will no longer be suggested to the same contact, even if it would naturally resurface in the recommendation algorithms. With a single click, you control:
- the automatic exclusion of recently purchased or recommended products,
- the diversity of suggestions,
- the perceived freshness of your communications,
- improved interaction rates.
Even without any action on your part, Probance automatically applies a default configuration to ensure quarantine management operates in line with best practices.
Useful resources:
👉 Step-by-step video:
How to exclude previously recommended products from recommendations?
👉 In-depth article:
Temporarily exclude previously recommended products from future suggestions
The immediate marketing benefits of quarantine management:
- Greater variety in your emails, avoiding the “seen before” effect and marketing fatigue.
- Stronger engagement, driven by constantly refreshed recommendations.
- Increased perceived relevance, a key driver of satisfaction and customer loyalty.
- Improved conversion rates, as the products displayed are better aligned with each stage of the customer journey.
4. SKY TUNE RECOMMEND: tailor-made recommendations crafted by data experts
While native recommendation rules (cross-sell, trending products, visits, baskets, best sellers, etc.) cover the majority of use cases, some brands have more specific needs, often related to:
- their merchandising strategy,
- their commercial policy,
- internal recommendations from in-store teams,
- margin or stock constraints,
- the need for a more accurate and relevant consideration of product attributes.
This is where SKY TUNE RECOMMEND comes in, an advanced layer that enables the definition of highly precise, bespoke business rules, built to measure.
Concrete examples of expert rules
With SKY TUNE, you can, for example:
Highlight “star” products
Recommended by in-store advisors, internal experts or brand ambassadors.
Prioritise products from a premium collection or a partner brand
An effective strategy to reinforce perceived value or increase average basket margin.
We integrate the algorithms and product associations defined by the client directly into Probance, and then combine them with the platform’s native algorithms to take the recommendation strategy even further.
For instance, when a client has predefined (“hard-coded”) product associations for part of their catalogue, these can be used as a priority to select the first recommendations, which are then complemented by Probance’s cross-sell algorithms.
It is also possible to deeply customise the behaviour of the algorithms to take into account product attributes specific to the business. In the wine sector, this may include region, appellation, estate, wine type or price range, in order to deliver recommendations that are even more relevant and better aligned with commercial strategy.
This engine provides full control over algorithm behaviour, without sacrificing ease of use.
And if you don’t have a data team to configure these rules?
👉Probance experts take care of it for you. They work closely with you to understand your objectives and business constraints, then configure SKY TUNE RECOMMEND on your behalf.
We handle the entire implementation, so you can stay fully focused on your core business.
Conclusion: Automation is no longer enough. Intelligent recommendations have become essential.
Automating emails is no longer enough. Consumers now expect messages that can anticipate their needs, understand their intent and naturally fit into their purchase journey. With Probance One, brands move from standardised automated marketing to truly intelligent personalisation. Recommendations become more relevant, filters provide precise catalogue control, quarantine management ensures a fresher and more engaging experience, and the use of customer interactions (visits, clicks, baskets) continuously enriches customer understanding.
Add the power of bespoke rules through SKY TUNE RECOMMEND, and every email becomes a high-value touchpoint.
Every email becomes a conversion lever.
Every recommendation becomes a service.
Every contact becomes an opportunity.
👉 Automation is good.
👉 Intelligent recommendations are better.