04 / 05 Consumer intelligence

Know your customers better. Make better-informed commercial decisions.

What customers buy, look for and stop buying can reveal both opportunities and warning signs. We analyse customer and market data to understand behaviour, anticipate change and support decisions on product, communication and marketing.

Talk to Simia How we can help

In short

Simia Tech analyses customer data to understand behaviour and predict churn, using the data the company already has — visits, purchases and how they evolve. The team gets timely alerts, with the reasons behind each case, and can act before the customer leaves.

Who it is for
Companies with recurring customers that want to keep them and guide commercial and marketing decisions.
What we deliver
Churn prediction models, customer segmentation and indicators to measure the effect of each action.
Where we start
With the commercial question your team needs to answer.

Consumer intelligence

How we can help

  • 01

    Customer understanding

    Identifying buying patterns, needs and differences between customer groups.

  • 02

    Churn prediction

    Building models that help identify the customers most likely to stop buying or using a service.

  • 03

    Demand trends

    Understanding how behaviour changes over time.

  • 04

    Commercial decisions

    Supporting choices on offer, channels, campaigns and retention actions.

  • 05

    Measuring results

    Defining indicators to track the effect of the actions taken.

In focus

Churn prediction: act before a customer leaves.

We use the data your company already has about its customers — visits, purchases and how they evolve — to predict who is about to leave. Your team gets timely alerts, together with the reasons behind each case, and can step in before the customer goes.

  1. 01Data you already haveEach customer’s visits, purchases and trends
  2. 02PredictionWho is about to leave
  3. 03Timely alertsWith the reasons behind each case
  4. 04ActionBefore the customer leaves
How churn prediction works

Process

How we work

  1. 01

    The question

    We start by defining the commercial question.

  2. 02

    The analysis

    We analyse the information available — sales, customer history and interactions, for example — and identify patterns that can guide a decision.

  3. 03

    The action

    For churn models, we work with your team to turn predictions into retention actions and track the results.

FAQ

Frequently asked questions

  • What data do you need to predict churn?

    We start from the data your company already has about its customers — visits, purchases, history and interactions, for example — and how it changes over time.

  • What does the sales team receive?

    Timely alerts about the customers most likely to leave, with the reasons behind each case, so the team can step in before the customer goes.

  • How do predictions turn into action?

    We work with your team to turn predictions into retention actions and define indicators to track the effect of those actions.

  • What other decisions can it support?

    Customer analysis helps identify buying patterns, needs and differences between customer groups, and supports choices on offer, channels and campaigns.

What would you like to understand about your customers?

We help you find answers in your data and put them to work in commercial decisions.

Talk to Simia

Or write to info@simia-tech.com