Quieres mejorar la experiencia del cliente. ¿Cómo puedes usar las habilidades analíticas para hacerlo?

I agree but in my experience you need to focus in no more than three KPIs at the time. That does not mean that you won’t collect data for all of them. Cause one by one you will need all the data you can get. But you need to pick and choose. If you don’t know how to I’ve always started with the biggest problem in the company, that usually comes down to income, so retention and revenue per client were a nice starting point cause it involves making the most out of your marketing budget and building trust with your client which will translate in better data. If you can’t figure out from the business perspective then go to the best source: the customer and let them tell you your weakest point.

Data Collection: Gather customer feedback through surveys, reviews, and interaction records. Identify Patterns: Analyze data to identify common issues, preferences, and pain points. Prioritize Issues: Rank issues based on frequency and impact on customer satisfaction. Root Cause Analysis: Investigate underlying reasons behind recurring problems. Develop Solutions: Brainstorm solutions addressing identified issues. Implement Changes: Roll out solutions gradually, monitoring their impact. Track Performance: Continuously monitor metrics to gauge improvement. Iterate and Improve: Use insights to refine strategies and enhance customer experience.

You have to know exactly what your goals are or your client goals are before you begin collecting data. In addition, defining goals will help in focusing on the exact points of data collection.

Using analytical skills to enhance customer experience involves several steps. Firstly, gather and analyze customer data from various touchpoints to identify pain points, preferences, and patterns. Utilize statistical analysis and data visualization techniques to gain insights into customer behavior and trends. Based on these findings, set specific and measurable CX goals, such as reducing customer wait times, increasing satisfaction scores, or improving first contact resolution rates. Continuously monitor progress towards these goals, adjusting strategies as needed based on ongoing analysis and feedback, to ensure a consistently improved customer experience across all interactions.

Recientemente, leía acerca de la relevancia del análisis de datos en Customer Experience y no puedo estar más de acuerdo, ya que se trata de una fuente invaluable que sirve como punto de partida para orientar de manera efectiva los esfuerzos dentro de la organización. No es suficiente conocer las necesidades, deseos y percepciones de los clientes únicamente a través de encuestas o MS, sino que también es crucial respaldarse en herramientas que mejoren la precisión de la información como la segmentación, mapas de empatía, CJM, BP, MV, entre otras. En conclusión, considero que esta es una de las partes más fundamentales en CX y se vuelve aún más efectiva cuando se combina con un trabajo de campo y acciones concretas.

This is the most important part, no matter if you have 100 years of experience you will never know what customers want. You might have clues if you’ve worked in the same company for that long or if you are the ideal customer for a product… but you need to be trusting your data not your gut. Gut feeling are a great starting point to go and find the answer inside the data.

To improve customer experience using analytical skills, start by collecting comprehensive customer data from various sources such as surveys, feedback forms, social media, and purchase history. Organize this data systematically, categorizing it by demographics, preferences, behavior patterns, and satisfaction levels. Utilize data analysis techniques like segmentation, trend analysis, and sentiment analysis to identify patterns, pain points, and areas for improvement. By understanding customer needs and preferences more deeply through data analysis, businesses can tailor their products, services, and interactions to enhance the overall customer experience effectively.

To improve customer experience, analytical skills can be leveraged to analyze and segment customer data effectively. Utilizing data analytics tools, such as customer relationship management (CRM) systems or advanced analytics platforms, allows for the examination of various customer interactions, preferences, and behaviors. By segmenting customers based on demographics, purchasing history, or engagement patterns, businesses can tailor their products, services, and marketing strategies to meet specific needs and preferences. This targeted approach enhances customer satisfaction, fosters loyalty, and ultimately improves the overall customer experience.

First of all choose the proper analytical algorithms/Visualization /techniques to map out the customer journey and identify pain points, friction points, and opportunities for improvement. Analyze customer touchpoints by visualization tools across various channels to understand the end-to-end experience and identify areas where enhancements can be made. Predictive analytics can help only to identify potential churn, recommend personalized product, forecast demand to proactively address customer needs. Parallelly the sentiment analysis will help in making insight to prioritize areas for improvement and address customer concerns proactively, to improve customer experience.

Whatever you expend in asking and knowing your client and their relationship with your products, will translate in huge savings once you give it to them.