Demand planning for the digital channel

Investment in acquisition and product availability must move together. Selling out-of-stock items or holding inventory with no media spend behind it is a planning problem, not a marketing problem.

In ecommerce, paid media investment and product availability are two variables that must move in sync. Investing in campaigns for a product that will sell out in two days drives traffic that doesn't convert. Holding stock for a product with no acquisition spend behind it ties up capital without generating turnover.

This problem is most common in businesses with large catalogs, high seasonality, or complex supply chains. And the solution lies neither in marketing nor in operations in isolation. It lies in connecting the two.

Digital demand planning connects demand signals from the channel (search trends, on-site behavior, campaign data) with stock planning and media investment strategy so the channel operates in a coordinated way.

What we do

Demand signal analysis

We monitor available demand signals in the digital channel: search trends, website behavior, campaign data, and historical sales by product and season. These signals feed into stock planning and media investment strategy.

Coordination between investment and availability

We design coordination processes between the marketing team and the operations team so that media investment decisions are aligned with product availability. When a product is about to sell out, investment is redirected. When there is excess stock, investment is concentrated on that product.

Seasonal and peak demand planning

Predictable demand peaks (Black Friday, Christmas, season starts) need to be planned well in advance. We design the investment strategy and stock planning for each peak using profitability criteria, not just volume.

Frequently asked questions

The direct cost is the spend from campaigns that drove traffic to an out-of-stock product page that doesn't convert. The indirect cost is the customer who arrives, doesn't find the product, and goes to a competitor, potentially never coming back. In highly competitive categories, that customer is hard to recover.

Search trends, organic traffic, and on-site behavior are leading demand indicators. If searches for a product are growing week over week, demand will increase before it shows up in sales. These signals can be used to adjust stock orders with enough lead time.

Tools vary depending on the level of sophistication. At a basic level, Google Trends and paid media campaign data are useful signals. At more advanced levels, forecasting models connected to historical sales data, competitor behavior, and channel trends are used.

Related capabilities

Data Tech Business Intelligence Marketplaces Logistics Shelf Digital