Sarva Personalization
In developmentTurn customer behaviour into the next best experience.
Behaviour becomes a profile, a profile becomes a segment, a segment becomes a decision — while the visit is still happening. Sarva Personalization is in development.
Five steps, measured in milliseconds.
Personalisation that runs on last night's segment export is just a slower version of the same page. The value is in doing it during the session.
- Behaviour0ms
A visitor does something — views a page, opens an email, adds to a cart.
- Profile~5ms
The event is matched to a known customer, or held as an anonymous identity.
- Segment~15ms
Membership is recalculated against real-time audience definitions.
- Decision~25ms
Rules and scores select what should happen next for this specific person.
- Experience~40ms
The chosen experience is delivered and logged for reporting.
- BehaviourViewed 3 bearing SKUs, opened pricing twicelive session
- ProfileMatched to acc_8841 · trade customeridentity resolved
- SegmentHigh intent · no open quotation1 of 3 audiences
- DecisionShow trade pricing and request-a-quotevariant B
- ExperienceRendered in 40ms · logged for reportingdelivered
What Sarva Personalization is designed to do.
Audiences
- Real-time audiences
- Anonymous identities
- Membership rules
- Suppression
Scoring
- Intent scoring
- Engagement scoring
- Propensity signals
- Decay rules
Decisioning
- Decision tables
- Next-best action
- Recommendations
- Fallbacks
Delivery
- Website personalization
- Campaign targeting
- Behavioural triggers
- A/B testing
What Sarva Personalization shares with the rest of SarvaSuite.
These are not integrations you configure. They are the same records, read from different products.
What people use it for
Every visitor sees the same homepage regardless of history.
Returning trade customers see their pricing and reorder options immediately.
High-intent visitors leave without ever speaking to sales.
Intent crossing a threshold changes the page and notifies the account owner.
Testing requires a separate tool with its own definition of a user.
Experiments run against the same profiles the rest of the suite uses.
Where this stands today
Sarva Personalization is in development. It depends on Sarva Data, which is in early access — real-time decisioning is only meaningful once identity is resolved.
Start with Sarva Personalization. Add the rest when you need it.
Tell us what your team is doing manually today and we will show you where in the suite it belongs.