Introduction to voice commerce analytics

Voice commerce is booming. With the rise of smart speakers and voice assistants, more people are shopping using their voices. But how do businesses track and analyse this new way of shopping? Here at iWeb, we’ve been diving deep into voice commerce analytics to help businesses understand and optimise their voice-enabled channels.

Voice commerce analytics involves collecting and analysing data from voice interactions. This data can include everything from the number of voice searches to the conversion rates of voice-initiated purchases. By understanding this data, businesses can make informed decisions to improve their voice commerce strategies.

Key metrics to track in voice commerce

When it comes to voice commerce, there are several key metrics that businesses should track. One of the most important is the number of voice searches. This metric can give businesses an idea of how many people are using voice search to find their products.

Another important metric is the conversion rate of voice-initiated purchases. This metric can help businesses understand how effective their voice commerce strategies are at turning voice searches into sales. By tracking these metrics, businesses can identify areas for improvement and optimise their voice commerce strategies.

Tools and technologies for voice commerce analytics

There are several tools and technologies available for tracking and analysing voice commerce data. One of the most popular is Adobe Analytics. This tool can help businesses track a wide range of voice commerce metrics, from voice search volume to conversion rates.

Another useful tool is Adobe Experience Manager. This tool can help businesses manage and optimise their voice commerce content, ensuring that it is engaging and effective. By using these tools, businesses can gain valuable insights into their voice commerce performance and make data-driven decisions to improve their strategies.

Challenges in tracking voice commerce performance

Tracking voice commerce performance can be challenging. One of the biggest challenges is the lack of standardised metrics. Unlike traditional e-commerce, there are no universally accepted metrics for tracking voice commerce performance. This can make it difficult for businesses to compare their performance to industry benchmarks.

Another challenge is the complexity of voice interactions. Voice interactions can be more complex than traditional text-based interactions, making it harder to track and analyse them. Despite these challenges, businesses can overcome them by using advanced analytics tools and working with experienced partners like iWeb.

Best practices for analysing voice commerce data

When analysing voice commerce data, it’s important to follow best practices. One of the most important is to focus on the most relevant metrics. By focusing on the metrics that matter most to your business, you can gain valuable insights and make informed decisions.

Another best practice is to use advanced analytics tools. Tools like Adobe Analytics and Adobe Experience Manager can help businesses track and analyse a wide range of voice commerce metrics. By using these tools, businesses can gain a deeper understanding of their voice commerce performance and identify areas for improvement.

Case studies: successful voice commerce analytics

Several businesses have successfully used voice commerce analytics to improve their performance. For example, a leading retailer used Adobe Analytics to track their voice commerce performance. By analysing the data, they were able to identify areas for improvement and optimise their voice commerce strategies, resulting in a significant increase in sales.

Another example is a foodservice company that used Adobe Experience Manager to manage and optimise their voice commerce content. By using this tool, they were able to create engaging and effective voice commerce content, resulting in a significant increase in customer engagement and sales.

The future of voice commerce analytics looks bright. One of the biggest trends is the increasing use of artificial intelligence (AI) and machine learning (ML) to analyse voice commerce data. These technologies can help businesses gain deeper insights into their voice commerce performance and make more informed decisions.

Another trend is the increasing integration of voice commerce analytics with other e-commerce tools and platforms. For example, businesses can integrate their voice commerce analytics with their ERP systems to gain a more comprehensive view of their performance. By staying ahead of these trends, businesses can ensure that they are well-positioned to succeed in the evolving voice commerce landscape.

How iWeb can help with your voice commerce analytics

Here at iWeb, we have a talented team of experts who can help you with your voice commerce analytics. With our 29 years of e-commerce experience, we have the knowledge and expertise to help you track and analyse your voice commerce performance.

Whether you need help with tracking key metrics, using advanced analytics tools, or overcoming challenges, our team is here to help. Contact iWeb today to learn how we can help you with your digital transformation and take your voice commerce to the next level.

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