XM Knowledge Base
Customer Analytics Software
Tune in to every word, on every channel
Our omnichannel analytics engine scours every call, mention, post, chat, text, and email to understand the root cause of customer friction (or delight) and deliver real-time insights to every team across your organization.
OMNICHANNEL LISTENING AND INSIGHTS
Listen to your customers, wherever they are
If customers are getting in touch, we capture it all. Calls, chats, posts, mentions, and everything in between — it all comes into one platform where it’s analyzed by our industry-leading customer analytics tools to surface critical business insights.
- Ingest and analyze native app reviews to uncover what’s driving low score reviews
- Listen to customer service calls and review chats to identify friction points across customer touch points
- Uncover trending topics in service channels to identify what your customers are looking for
OMNI-CHANNEL CONVERSATIONAL ANALYTICS
Human-level understanding meets machine-level scalability
Optimize customer interactions with our advanced speech and text analytics engine, designed to provide deep insights into customer behavior and tailor solutions to meet your customers' needs.
- Tailored to recognize and analyze terminology from various industries, enhancing insights' relevance and accuracy
- Supports over 20 languages, ensuring effective communication and understanding across global customer bases
- Uses Natural Language Understanding (NLU) to detect and interpret sentiment, effort, emotion, and intent in every customer interaction, enabling data-driven decision-making
Value Calculator
Bad customer experiences can cost millions. See how much they’re costing you.
Use our Experience Value At Risk (xVAR) calculator to estimate the impact that broken or unsatisfactory experiences are having on your business-critical metrics like customer acquisition, customer spend, and cost to serve.
Experience iD
Personalize every experience
Reduce churn and boost revenue with Experience iD — an omni-channel library of every customer interaction. With a deeper understanding of customer needs and behaviors, you can create personalized experiences and increase conversion rates.
- Capture and store all customer interactions across various channels to provide detailed insights into behavior and sentiment
- Segment customers using crucial attributes like CSAT, lifetime value, and specific behaviors such as mouse thrashing and rage clicks for targeted engagement
- Utilize Gen-AI to analyze high-volume data and identify risks and opportunities in real-time, enabling instant interventions to optimize the digital experience
xFlow Alerts & Actions
Enable real-time action at scale
Transform how your organization manages feedback and takes decisive actions. By pairing omnichannel analytics with Qualtrics xFlow, our automation engine, you can leverage insights from past interactions, sentiment, intent, and behaviors to precisely time your responses.
- xFlow's no-code, drag-and-drop setup integrates effortlessly into your existing systems, streamlining the automation of responses based on customer feedback
- Automatically handle customer support inquiries and customize rewards and offers, enabling xFlow to scale responses seamlessly and without extra effort
- Integrates responsive customer experience management into your daily operations, optimizing efficiency in existing systems and ensuring timely, appropriate actions
Upgrade your programs simply with flexible, scalable pricing plans
More about customer analytics
Customer analytics is a tool used by organizations to translate data on customers’ behavior, activity, sentiment, and more into insights the organization can use to inform its decision-making. It’s a broad category that applies to the analysis of any type of customer data, although the best-in-class customer analytics programs are those that can combine operational data (eg purchase behavior, website activity, average spend) and combine that with experience data (eg NPS, customer satisfaction, website feedback etc.) — when analyzed together as a single data set, organizations can uncover the key drivers of customer outcomes like repeat purchase, and get a better understanding of how the experience they deliver impacts the company’s bottom line.
In today’s consumer landscape, where customers interact with companies using a range of different channels, an omnichannel customer analytics tool is essential. It pulls together data points from every channel so companies get a complete picture of what’s happening with every customer, regardless of what channels they use, so they can identify points of friction along the journey and identify opportunities to improve the experience and therefore have a positive impact on the company’s growth.
Customer analytics typically involves using a mix of statistical tests such as key driver analysis, and multivariate regression to identify the relationship between two or more variables, such as website ease of use and likelihood to purchase. The best customer analytics tools automate these complex analyses and translate the results into plain English, enabling business users to act on the insights without having to have a deep understanding of statistical methods.
Learn more about customer analytics
Omnichannel customer analytics is a technique — usually provided by a software platform — that brings together customer data from a wide range of channels, and surfaces key customer insights at the customer (as opposed to the channel) level. This is in contrast to point-to-point customer analytics tools that analyze what’s happening on a single channel. In today’s consumer landscape, omnichannel analytics are essential as customers will use multiple channels in any one interaction with a company, and it’s only by looking at the complete journey that companies can see the full picture of what’s happening.
At a high level, there is traditional point-to-point customer analytics and omnichannel analytics. Both types of customer analysis can exist at a channel level (eg a website, store, or contact center), or at an omnichannel level, where data and insights are gathered across multiple channels to give a more complete picture of a customer’s total experience with a company.
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