Post Image

09.30.2020

NEW PRODUCT INTRODUCTION – WHY DOES RETAIL EXECUTION MATTER?

The stakes are high when it comes to introducing new products. So much time and money is invested in the research, development, and marketing needed for proper promotion execution, all of which is needed to advertise new products to target consumers.

During the pandemic there has been some dramatic shifts in shopper behavior with less frequent visits and increased purchasing of multipacks. Shoppers have also been forced to consider secondary brands cased by availability issues on the leading brands. These changes in shopping patterns and the implications for brand owners on the importance of availability need to be considered.

The level of failure in new product launches is incredibly high with Nielsen identifying that between 70-90% annually fail in any given year. Many brand owners have reflected on this and analyzed successful launches and attempted to decode the reasons for success. It has been identified that a shopper’s ability to find and buy a new product and then subsequently repeat purchase are critical success factors.

Enlightened retailers are providing suppliers with access to store level sales of data for their own products which can be accessed by a retailer portal. This provides a potential rich source of insight for CPG’s. Algorithms can search for patterns in the data or gaps in sales to infer problems. To do this effectively the frequency of the data, whether daily or weekly, and the granularity of the data are important. Specifically store data by SKU is required.

The growth in digital technology in CPG markets enables directed or guided selling and insights to be provided to field representatives next day. Meaning actions can be taken in real time.

The most obvious solution for CPG companies with investment in field sales organizations will be to ensure their existing resources prioritize addressing new product OSA issues. The second strategy would require head office tracking of rate of sale using the most up to date Electronic Point of Sales Data to highlight store specific issue or provide early warning of performance issues intime to address by adjusting the launch plans. Lastly leveraging big data analytics to identify the store specific issues by SKU to inform smarter deployment of the field team.

To discuss these strategies in more detail, arrange a call with our sales team.

To learn more, download our whitepaper here.

Share on

Related content

The AI-Enabled Field Sales Force: Measure and Goal Set

The AI-Enabled Field Sales Force: Measure and Goal Set

Most retail execution reporting proves that something happened at the same time as something else. Compliance went up in Q3 and sales went up in Q3, therefore compliance drove sales. Perhaps it did, or the weather was good, a competitor was out of stock, a category promotion ran, and compliance improved because your best representatives were reassigned to your best stores.

read more
The AI-Enabled Field Sales Force: Pitch

The AI-Enabled Field Sales Force: Pitch

The Pitch stage industrializes what good representatives do instinctively. The platform creates a custom pitch for that store buyer, for that moment in time, provides options rather than a single script, tracks the usage of the pitch through breadcrumbs so it can be analyzed later, and automates the administrative process of turning a sales pitch into an order.

read more
The AI-Enabled Field Sales Force: Coach

The AI-Enabled Field Sales Force: Coach

Somewhere in the system there are dozens of exception rules firing daily into a representative’s task list. They flag out-of-stocks, price gaps, compliance failures and distribution voids. The rules work. The alerts are accurate. Even so, adoption is somewhere south of forty percent, because the representative opens the list, sees eighteen items, has time for four, and has no principled way to choose.

read more
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.