{"id":32264,"date":"2022-01-28T18:45:13","date_gmt":"2022-01-28T08:45:13","guid":{"rendered":"\/au\/en\/blog\/?p=32264"},"modified":"2023-01-13T23:38:20","modified_gmt":"2023-01-13T13:38:20","slug":"customer-analytics","status":"publish","type":"post","link":"\/au\/en\/blog\/customer-analytics\/","title":{"rendered":"Customer Analytics: All You Need to Know"},"content":{"rendered":"

Customer Analytics is a critical approach for identifying high-value customers based on their activity data. This enables businesses to choose which customer segments to prioritise. However, forecasting consumer behaviour and segmenting customers using predictive data analysis and data insights demands a lot from companies.<\/span><\/p>\n

There is no way you can grow without really knowing your customers. Thriving competition would mean walking the extra mile to delight, keep, and attract customers. A lot, therefore, would depend on acquiring and evaluating relevant consumer data. This includes potential data set around social media attitudes, demographics, product feedback, preferences, interests, browsing information, and purchasing trends, among other things.\u00a0<\/span><\/p>\n

All such data is accessible, but how will your business use it to its fullest? The use of various customer analytics tools coupled with <\/span>digital customer engagement software<\/a><\/strong> is critical in this situation.<\/span><\/p>\n

When it comes to anticipating and understanding customers’ wants, customer analytics can be a huge asset for businesses. Making strategic and informed decisions is possible when you have the necessary insights.<\/span><\/p>\n

Why is Customer Analytics important?<\/strong><\/h2>\n

Any data that provides a peek into customer behaviour can provide useful insights to guide your analysis.<\/span><\/p>\n

And for every step of the customer journey, your business needs to outperform the competition with an appropriate approach. For example, incorporating an <\/span>interactive walkthrough<\/a><\/strong> for first-time customers and analysing their interaction with your software.<\/span><\/p>\n

Such an approach based on customer behaviour helps develop better price strategies, advertising campaigns, and other management processes. Without a strong understanding of customer behaviour, your efforts could be utterly futile.<\/span><\/p>\n

You can also employ predictive analytics to forecast client behaviour by blending in data from multiple communication channels. With customer analytics, you can get a <\/span>360-degree customer view<\/a><\/strong>,<\/strong> enabling a comprehensive understanding of customers. It helps evolve approaches for customer acquisition, retention, and proactive buyer engagement.<\/span><\/p>\n

Key aspects of customer analytics<\/h3>\n

When we speak of customer analytics, we mean many elements that form a cohesive method that goes into analysing various aspects of customer behaviour. Here are the three main factors to consider when implementing customer analytics for your business.<\/span><\/p>\n

\"Key<\/p>\n

Customer Acquisition<\/strong><\/h4>\n

Customer behaviour analysis helps craft efficient marketing and sales tactics tailored to the specific needs of each consumer. Focusing on the correct demographic can significantly minimise marketing costs as personalised marketing initiatives boost conversion rates.<\/span><\/p>\n

Customer Retention<\/strong><\/h4>\n

By analysing the \u201cwhy\u201d behind customer churn, you can start developing <\/span>customer retention strategies<\/a><\/strong> to proactively engage at-risk customers to avoid future churn. The goal here is to offer personalised customer care and support to have them put faith in your business and engage further.<\/span><\/p>\n

You can also incorporate a <\/span>customer knowledge base<\/strong><\/span><\/a> that works as a self-service tool enabling them to quickly find answers to their questions along with how-to content on your products\/services. The more <\/span>they know about your brand<\/a><\/strong>,<\/strong> the more likely they are to make a purchase (again).<\/span><\/p>\n

Customer Engagement<\/strong><\/h4>\n

When it comes to successful consumer interaction, providing a helpful and personalised experience is critical. Customers appreciate customised solutions that are tailored to their specific needs. By researching their support requests and hurdles, you can interact with them more effectively. <\/span>Customer experience metrics<\/a><\/strong> (such as NPS, CSAT, etc.) are quite beneficial in product uptake and fostering a positive rapport with your current set of customers.\u00a0<\/span><\/p>\n

Important Types of Customer Data You Should Consider\u00a0<\/strong><\/h2>\n

Typically, you may analyse four different forms of customer data that are available from different sources. Check these out and ensure you have them covered in your KPI list to unlock growth.\u00a0<\/span><\/p>\n

\"Types<\/p>\n

Transactional Data<\/strong><\/h3>\n

Retail data is an excellent example of transactional data. Each transaction carries insight into the journey of the customer. For instance, Walmart crunches its previous transactional data to anticipate demand in the United States for around 500 million item-by-store combinations. This empowers them to stock necessary products at an appropriate location that boost sales.<\/span><\/p>\n

Analysing transactional data will help you gauge demand-supply gaps and keep you ahead of the curve with customer requirements.\u00a0<\/span><\/p>\n

Service\/Product Data<\/strong><\/h3>\n

Product usage or service data can be analysed to improve the customer experience and drive innovation. For example, Toyota conducts several research initiatives focused on driver behaviour like image analysis to assess drivers’ head and hand positions. This also includes a database of numerous seating situations and seat belt settings to determine which enhancements would increase drivers’ comfort and safety.<\/span><\/p>\n

If you are into the service business, you need to find out relevant metrics that impact the client experience. For instance, you can leverage <\/span>contact centre solutions<\/a><\/strong> that help you with additional data to improve customer touchpoints with your business.<\/span><\/p>\n

Web Data<\/strong><\/h3>\n

Using Google Analytics enables you to understand your website\u2019s performance and usage, such as from where they landed on your website, the pages they visited, and how long they stayed on each page. You may then create appropriate content based on such data to boost traffic and conversion rates.<\/span><\/p>\n

Data from User-Generated Content<\/strong><\/h3>\n

Customers often create content for your business, in the form of comments on social media, Google reviews, and product reviews on your platform. While they embrace the opportunity to express their thoughts, your business must analyse this information to understand your consumers’ opinions about your product, brand, or service, and tailor your product strategy to their feedback.<\/span><\/p>\n

Try spotting a pattern and determine if customers have a good or negative emotional tone. Samsung, for example, uses <\/span>social media monitoring<\/strong><\/span><\/a> to woo customers away from rivals.<\/span><\/p>\n

A flowchart of the three key processes to set up a customer analytics framework<\/strong><\/h2>\n

Modern customer experience efforts have greater weight and impact when all departments share the same attitude. By using a customer journey analytics framework to design those experiences, you ensure that your business has a uniform attitude across all departments.<\/span><\/p>\n

\"Three<\/p>\n

This consistency enables you to accomplish two goals: reduce silos and increase organisational buy-in.<\/span><\/p>\n

Step 1: Know the Customers You Want to Analyse<\/strong><\/h3>\n

Keep in mind the final objective and prior client journeys while developing a customer analytics strategy. Mapping a customer journey can help create a detailed, diagrammatic map of all conceivable phases and points of contact between customer and business.\u00a0<\/span><\/p>\n

It begins with brand discovery and ends with post-sales service aimed at repeat purchases.<\/span><\/p>\n

Ask these questions that help you map the client journey:<\/span><\/p>\n