Kiliba selects products from available contact, order, catalogue and interaction data. Depending on the campaign, different models may be used, including buyer similarity, product associations and catalogue trends.

Fallbacks

When a personalised recommendation is unavailable, Kiliba may use popular or visited products that fit the campaign. Stock, blacklist, price, gender and scenario-exclusion rules still apply.

The final content depends on the quality of synchronised data. Before sending, review products in the preview and make sure they are available and consistent with your objective.