Predict buying behavior and turnover? More control with predictive analytics.
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Predictive
analytics
Forecasting market conditions, in the short or long term, in order to better and timely anticipate the wishes and needs of customers. Which Ecommerce entrepreneur does not want that? Existing computer systems, large databases and analysis environments such as Business Intelligence BI provide useful information about the current state of affairs. But the ability to make entrepreneurs look ahead is limited. Decision makers must make assumptions about the future based on past events. That process is by definition imperfect. What would really help an entrepreneur are accurate data driven predictions of relevant market developments. The answer is: Predictive Analytics.
Interest
What can I use predictive analytics for in my company?
Predictive analytics enables decision makers and analysts to make accurate predictions of events in their market, based on complex statistical algorithms, applied to relevant data. This advanced, intelligent analysis method allows you to predict various types of customer behavior, such as:
- which customers are likely to purchase product x through channel y?
- who will respond to certain offers?
how much should I buy for product x and when should the products be in the right stock location?
Operation
How do I use predictive analytics in my organization for better results?
Predictive analytics is a powerful tool. It gives decision makers an accurate view of the future and sales and marketing teams a better view of what customers want and need. You will have access to very valuable information that helps you make tactical and strategic decisions. For a long time, the stumbling block with predictive analytics was that the technology was very complex to apply. You needed a team of highly experienced data analysts to generate practical results. An investment that only the largest companies could afford. In recent years, a new generation of predictive analytics tools has been developed that are much easier to use. These new solutions can be used on a daily basis in SME companies. When used effectively, they add significant value to your business. The analytics tools are available. Now we need the expertise and support. You will find that with us
Would you like to discuss the possibilities without obligation?
Specialist in predictive analytics
Ecommerce Result helps you expertly and practically in taking the first steps. Together we develop a vision and accompanying roadmap that indicate how you can fully utilize the possibilities and benefits of predictive analytics in your organization. We supervise the introduction of the technology and ensure seamless integration into the primary process. Our services vary from determining the right analytics strategy, including workshops, and guiding pilot projects to gain experience, to advising on the integration of predictive analytics in your organization. With all these services, we focus as much as possible on determining clear KPIs at an early stage. This enables you to determine the progress and success of this application and, where necessary, to make appropriate adjustments. Together we go for results.
What Do Our Customers Say?
Do you recognize this?
Lack of Resources and Knowledge
It can be frustrating when your team doesn’t have enough people or the right expertise. Meanwhile, software vendors want to sell you all sorts of things, but who should you trust?
Declining ROI and Lack of Insights
You are looking for reliable advice from specialists, but you notice that your ROI on marketing campaigns is decreasing. In addition, you are missing crucial insights to turn this around.
Our Solution
Imagine having a reliable partner to help you with projects and take your organization to the next level. We are here for you with strategic advice and reliable support.
Contact us today.
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Digital cup of coffee for advice or a no-obligation conversation?
- The Netherlands
- Vredenburg 40, 3511BD Utrecht
- Telephone: +31 85 888 4750
- Portugal
- Av. Republica 6, 7 esq, 1050-191 Lisbon
- Telephone: +351 300 506 280
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