Blogs

With 65% of organizations aiming to increase their technology spending in 2023 by an average of 24%, CX is the top priority for businesses.... Only "price" and "product quality" were placed higher highly by consumers ( 73% ), who also put a high value on customer experience while making purchases.

“VoC analytics can serve as a useful addition to customer journey analytics, providing insight into the motivations and thoughts of individuals and segments,” said Lizzy Foo Kune , Senior Director Analyst Gartner for Marketers .

Everyone knows how important customer experience (CX) is as a competitive advantage, from your customer service representatives at the forefront to your C-suite leaders.

Why Decision Makers Must Prioritize Data Analytics Strategy In 2023? This is precisely what happens when your organization's data and analytics (D&A) activities aren't aligned with its business objectives. The large-scale actions and investments not only fail but also kill your company's momentum.... Many businesses enter the D&A market without having a data strategy. The outcomes can be fatal to the organization. Here is the ultimate guide to designing a data analytics strategy for your business.

Since customer experience has risen to be one of the most prominent factors in any business in the last few years, personalized customer experience has become a ‘must-have’ from ‘better to have. Leaders started talking about personalization and its relevance, but are they doing it rightly?

90% of corporate executives claim that their customer experience (CX) has significantly improved since implementing data analytics.

"Change Makers measure the journey through data. They look for a successful conclusion to the journey, measuring in financial terms, and then follow the data to see what caused the strong or ineffective outcome," says Jim Tincher, Founder, CEO & Journey Mapper-In-Chief at Heart of the Customer, LLC in Clootrack's 102 CX Expert report .

Today, businesses are attempting to make data-driven decisions to enhance customer experience, but if human biases affect consumer data analysis, it may be a fruitless endeavor. Data analytics can assist businesses in making data-driven decisions. But often, common data biases can skew how organizations interpret the data.

Stakeholders must be persuaded of the usefulness of data and analytics by explaining corporate results and individual impacts. Data analytics is not only the buzzword today.