Many companies, nowadays, supply a wide range of products online. Behind the scenes, they also have a mountain of data from a variety of analytics tools, such as Google Analytics, about how each of these products is performing. For example, online behaviour (how often customers view a product), sales data (how often customers order a product) and channelrelated data (how each channel contributes to turnover).
Quite often, Google Analytics generates so much data that it becomes quite a challenge to see the trees for the wood. What's more, standard reports don't necessarily provide the most relevant insights, for example product margins. This makes it difficult to translate insights into best next actions and hinders datadriven optimization of your website and media deployment at a product level.
Best next actions can be assigned to each of these quadrants to improve product performance, for example optimizing media budgets, pricing, inventory levels or cross-selling. Including additional information in the PPR that is relevant to your organization provides more valuable, more detailed and more relevant insights into best next actions at a product level.
Using the PPR, it's possible to determine the best next actions for each product or product group. What's more, it serves as a means to monitor and periodically report on the effect of your optimization efforts. In summary, this way of working provides true insight into product and product group performance and targeted action for marketing and/or conversion optimization.
Curious about how we could help you? Please feel free to get in touch. We'd love to hear about your data and how you're using it within your organization.