How the Smart Sales Funnel improves your sales

A data-driven approach for better results

For companies in the foodservice market, the Smart Sales Funnel offers an innovative solution to the problem of inefficient lead qualification. With a combination of artificial intelligence and data-driven processes, this customized tool helps you not only identify the right leads, but also guide them effectively through your sales funnel. The result? Higher conversion rates, lower costs and more satisfied customers.

The Smart Sales Funnel: Your key to targeted growth

The Smart Sales Funnel is an advanced tool that unlocks and supplements your available data with valuable insights. Using mathematical models and AI, it analyzes and enriches your data, generating a prioritized list of leads based on their potential value and likelihood of conversion.

This solution is fully customized and tailored to the specific needs of your organization. Together with a leading agency in the field of data and AI, we develop a powerful solution that helps focus your sales and marketing activities on what really counts: the leads with the greatest impact. This will save you time, optimize your resources and increase your chances of success.

From insights to action: your Smart Sales Funnel in 7 steps

Want to get a better grip on your leads and take your sales process to the next level? The Smart Sales Funnel offers a data-driven and customized approach to make your sales and marketing efforts more effective. Below are the seven essential steps we’ll use together to develop a successful Smart Sales Funnel, fully tailored to your organization.

1. The Scan: Together we map your current processes, systems and data through interviews and workshops.
2. The design: We create a specific plan including KPIs, budget and schedule.
3. Data analysis: Your data is cleaned and analyzed to identify success factors.
4. Data enrichment: Leads are enriched with internal and external data to better identify their potential.
5. Modeling: We are developing a model that categorizes leads based on their probability.
6. Lead generation & nurturing: Strategies are reviewed and adjusted to move leads through the funnel.
7. Lead follow-up in CRM: Automated processes ensure that your team follows up leads efficiently.

Case study

Lead Priorization Model (LPM) / lead classification model of a dessert manufacturer.

Situation and question

A branded manufacturer in B2B food receives potential leads from digital campaigns. The manufacturer does not have sufficient resources to call all the leads themselves. Therefore, there is a need for a lead classification model.

Based on analysis of historical data, lead potential criteria were determined. These are: the total number of dishes on the menu, the number of desserts offered, location characteristics (city vs outlying area and socioeconomic data from Dutch Stat database CBS), number of seats, type of kitchen and length of existence of the business.

The so called “chocolate mousse index” is calculated per contact based on the data listed and added to the contact details.

Old situation: leads are manually filtered and checked by manufacturer’s staff.

New situation: the LPM provides a list of highest to lowest scoring potential leads that the sales department can call. A choice can be made to mail the lowest scoring leads or approach them via external telesales.