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AI/ML

Building a Recommendation Engine for an E-Commerce Giant

Servizi: Software Development, Analytics, User Experience · Durata: 10 months · Regione: Pan-European

La Sfida

The company had a good product but was stuck. Customer acquisition costs climbed each quarter, organic growth had flatlined, and the sales team spent too much time on leads that went nowhere. They knew the product worked -- they just had no repeatable way to get it in front of the right people.

Il Nostro Approccio

Ricerca, Analisi e Fondamenta Strategiche

  • Condotta un'analisi di mercato sui segmenti target, il posizionamento dei competitor e le reali opportunità di crescita
  • Costruiti profili clienti da dati comportamentali, oltre 20 interviste e ricerche di terze parti
  • Mappato l'intero percorso cliente e identificati i passaggi specifici dove le persone abbandonavano o si bloccavano

Design, Sviluppo e Implementazione

  • Built the core platform features, prioritizing the ones users asked for most
  • Set up analytics so the team could see what was happening in real time instead of waiting for monthly reports
  • Automated the repetitive workflows that were eating 15+ hours per week
  • Connected the separate systems into one data pipeline so every team worked from the same numbers

Lancio, Ottimizzazione e Scalabilità

  • Launched acquisition campaigns on the two channels that testing showed worked best
  • Built automated email sequences that moved prospects forward based on what they clicked and downloaded
  • Set up a referral program that rewarded existing customers for bringing in new ones
  • Created a content strategy targeting the specific search terms that potential buyers were using

I Risultati

42K
New users/customers acquired
350%
Improvement in conversion rate
3.7x
Aumento del traffico organico
€1253K
Cost savings through automation

Cosa Abbiamo Imparato

  1. Tre integrazioni con partner hanno generato più iscrizioni di sei mesi di pubblicità a pagamento. Le partnership giuste raggiungono pubblici a cui non puoi comprare l'accesso.
  2. Reducing monthly churn by 2 percentage points had the same revenue impact as increasing new signups by 15%. Retention math is unforgiving.
  3. The organic content we published in month two was still generating leads eight months later. Paid campaigns stopped the moment we stopped paying for them.
  4. Le scorciatoie nel codice del primo anno ci sono costate tre mesi di rework nel secondo anno. Dedicare una settimana in più all'architettura all'inizio avrebbe risparmiato molto più tempo.
  5. Translating the website was not enough. Each market needed different pricing anchors, different trust signals, and sometimes a completely different value proposition.

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