A precise recommendation creates more engagement, more conversion and more value per customer.

Truly personalized recommendations create value at every interaction.

The more precise a recommendation is, the more likely it is to be useful, seen, clicked and converted. It's that precision — product, customer, moment, channel, pressure — that lifts engagement, average order value and customer lifetime value.

Request a demo → See the dimensions
With Probance
A recommendation rule activated in 2 clicks, configurable to fit your business.

With Probance, the user simply picks a recommendation rule. Behind that simplicity, every rule can be configured to reflect your business priorities, your product constraints and your customer specifics.

Step 1
Pick a rule
2 best-sellers + 2 complementary products
Step 2
Apply your parameters
stocksizecurrencypressurechanneltiming
The value created
More relevance
The customer receives a truly useful offer.
More engagement
The message is opened, read and clicked more often.
More conversion
The recommendation lands at the right moment, in the right context.
More customer value
You lift average order value, purchase frequency and retention.
In summary
1
the right offer
2
to the right person
3
at the right moment
4
in the right channel
5
with the right pressure
6
and only if it's still relevant
What really makes the difference
in stockin the right sizeat the right price
to the right segmentwith the right purchase historybased on real behavior
1 hour after cart abandonment1 year after the purchase2 days after entering the VIP segment
EmailSMSRCS
without over-solicitingwhile respecting marketing pressure
The dimensions of personalization

For a recommendation to perform, several conditions must come together at the same time.

Each dimension adds a layer of relevance. It's their combination that turns a standard recommendation into a truly personalized experience.

1
The right offer
The first challenge is to pick the right products to recommend based on the journey, then check that they're actually actionable in the commercial context.
The selection depends on the journey
Cart or visit recovery: recommend in priority alternative products to those abandoned or viewed.
Post-purchase journey: recommend consumables, complementary products, trending cross-sell or best-sellers.
Promotional journey: push discounted products in the member's favorite category.
Depending on the context, mix several recommendation logics in a single offer.
What to verify next
products in stockactive promofavorite categoryjourney consistencybusiness priorityactionable offer
The right offer isn't just about finding a "good product". You have to choose the right type of recommendation for the journey, then make sure the product is actually available and actionable when the message ships.
2
To the right person
An offer is only relevant when it's sent to the right person, in the right customer context, with the right level of information.
Targeting can depend on
the right segmentthe right purchase historyreal behaviorcustomer valuebrand preferenceslanguage and country
Example logic
Active customer, premium category, recent purchase history, low promo sensitivity, English language, preferred channel email.
3
At the right moment
Timing completely changes the performance of a message. A great recommendation sent at the wrong moment often loses all its value.
A few possible timings
Timing 1
1 hour after cart abandonment
Timing 2
1 year after the purchase
Timing 3
2 days after entering the VIP segment
Timing 4
3 days before the renewal
Timing 5
at the right hour of the day
Timing 6
on the right day of the week
4
In the right channel
The right message can exist, the right timing too — but the channel chosen still makes the difference between exposure, attention and conversion.
Channel
Email
Depending on the context, urgency level and type of message.
Channel
SMS
Depending on the context, urgency level and type of message.
Channel
RCS
Depending on the context, urgency level and type of message.
Channel
Paper mail
Depending on the context, urgency level and type of message.
Channel
Call center
Depending on the context, urgency level and type of message.
Channel
On-site
Depending on the context, urgency level and type of message.
5
With the right pressure
Personalizing isn't sending more. It's deciding what to send, when to send it, and when not to.
What to avoid
Over-solicitation
Conflict between campaigns
Pointless repetition
Marketing fatigue
What to manage
without over-soliciting
while respecting marketing pressure
arbitrating between several campaigns
prioritizing the most useful message
6
And only if it's still relevant
A personalized experience also relies on exclusion rules. The question isn't only what to send, but also when to hold back.
Examples of safeguards
if the product hasn't already been bought this month
if the recommendation hasn't been sent in the last 10 days
if the customer hasn't already been exposed on another channel
if the journey is still relevant right now
Personalization isn't a feature.

It's a system that combines data, rules, algorithms, timing and arbitration.

Probance makes that complexity workable, so you can build truly personalized customer experiences that you can manage and that actually perform.

What Probance orchestrates
Customer and product data
Eligibility conditions
Recommendations and exclusions
Timing and marketing pressure
Channel and activation context

What if every message finally recommended the right products?

See how Probance helps ambitious brands reach true personalization — product, moment, channel and pressure combined.

Request a demo → Talk to an expert