Client Recall
Client Situation
Challenge
L’organizzazione disponeva di un ampio database di clienti storici che avevano effettuato acquisti in passato, ma con cui non erano più attivi contatti recenti. Sebbene tali clienti rappresentassero un bacino di valore potenziale, non esisteva un processo strutturato per riattivarli o proporre nuove offerte. Le difficoltà principali riguardavano:
· L’assenza di insight su quali clienti contattare e con quali priorità.
· La mancanza di tempo e risorse per gestire contatti personalizzati su larga scala.
· La necessità di sfruttare canali diretti e familiari (come WhatsApp o email) per aumentare l’efficacia della comunicazione.
L’obiettivo era costruire un meccanismo scalabile per rianimare il rapporto con clienti inattivi, proponendo offerte mirate in base ai loro acquisti precedenti, in modo automatico ma personalizzato.
Significant results of the project
Thanks to this structured and integrated approach, the organization has achieved tangible benefits both in operational and strategic terms:
Aumento del tasso di riattivazione
Grazie alla personalizzazione dei messaggi e al contatto diretto su canali familiari.
Riduzione del carico operativo sul team commerciale
Con la gestione autonoma delle conversazioni da parte dell’AI Assistant.
Recupero di vendite perse
Grazie alla valorizzazione del patrimonio dati esistente.
Maggiore tempestività ed efficacia
Con tempi di risposta immediati e continuità nelle interazioni.
Insight utili sui comportamenti e le preferenze
Ottenuti analizzando le conversazioni gestite dall’agente AI.
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