Realizujemy projekt finansowany przez NCBiR oraz Unię Europejską.
czytaj więcejFrom Chaotic Communication to Precisely Scheduled Customer Contact
Customer contact is crucial for the success of virtually every company, and the efficiency of a call center has become one of the most important factors for gaining a competitive edge. However, many organizations struggle with unstructured communication, which leads to frustration for both employees and customers.
“Every day, our team faced the challenge of how to reach customers at the right moment without wasting time on ineffective contact attempts,” recalls the project manager at one of the financial instytutions we partnered with.
Before implementing changes, call center team operated on an ad hoc basis. Customer contacts were made randomly—without a set schedule, on arbitrary days and at various times. Customers were called according to the list sorted by balance. This model led to several key problems:
The turning point came when we introduced a precisely planned customer contact schedule. First, we segmented our customer base into distinct groups based on their preferences, historical behaviors, and patterns of previous interactions. For each segment, we defined dedicated days and hours when contact proved most effective, tailoring the communication schedule to the specific routines of each group. Next, we leveraged Python-based models to further refine our approach, integrating predictive analytics and automation to enhance customer reach and satisfaction at subsequent stages of the process. This data-driven methodology allowed us to maximize the likelihood of successful contact, ensuring our outreach was both efficient and highly personalized for each customer segment.
The changes brought spectacular results. In some segments, contact efficiency increased by as much as twofold. Consultants could focus on the most promising customers, while clients appreciated a more predictable and less intrusive communication style.