Creating seamless customer experiences – A data-driven approach

How to tackle this widespread business challenge

June 27, 2024
No items found.

When it comes to creating a seamless customer experience, local companies are no longer competing in their own backyard. They're up against the most recognisable brands in the world – think Amazon and Apple – and these companies have set the bar high for delivering timely and personalised service across every customer channel.

They invest in optimising the customer experience, and by extension the customer journey, because it pays off in multiple ways, including boosting sales, increasing customer loyalty and improving brand and CSAT (customer satisfaction) scores.

In a Salesforce survey of 14,300 global businesses, which included New Zealand, 80% of customers say the experience a company provides is as important as its product or service, and 88% say good customer service makes it more likely they will purchase from that company again. Furthermore, they expect seamless service regardless of their channel of interaction, with 74% expecting to do anything online that they can do in person or by phone.

Tackling the macro challenge of legacy business structures

Getting the right message via the right channel at the right time is entirely doable; it's just not an easy task. This is especially true for companies that are structured in the traditional way with individual business units managing their own separate channels, products or services. For example, consider a disgruntled customer having a terrible experience in the contact centre one morning only to receive product offers that same afternoon through the marketing channels.

That’s why creating a great customer experience begins with bringing the right capability together.  

At Spark, the whole organisational operating model has been redesigned to enable our business to confidently embark on our AI-driven marketing and intelligence journey. This is because we recognise that established businesses can fail when it comes to seamless customer journeys – and that being technology-led is not the solution. You need to look at teams, capability, funding, success metrics, training and adoption alongside the enabling technologies and processes.

It’s why start-ups can swoop in, provide a better experience and win the customer - they're simply more able to pivot to meet customer expectations. That doesn’t mean established businesses can’t flex too; they just need to find out what legacy challenges are holding them back in order to strategically plan how to move forward.

CX is everyone’s business

Key to overcoming these macro challenges is to recognise that executing great customer experience is the responsibility of everyone in the company. Often though, it’s assumed that only marketing, together with IT, needs to be involved.

Data, AI and other emerging technology are key components in enabling a seamless and personalised customer experience. It’s the discipline of bringing together a vast range of data – behavioural data, customer sentiment, demographic data, survey data, web and mobile browsing activities, CRM interactions and so on – into modern data infrastructure that allows customer data unification and observability, AI-driven decisioning and measurability. Unifying CX channels is far easier once the customer data has enterprise coordination and management.

There are, however, many different disciplines across the organisation, which also have a part to play. Not least of which are the folk in security and legal, who ideally need to be involved at the start, providing oversight of data storage and collection, as well as its use and interpretation.

Align data and CX programmes to business strategy

Then there is the executive. You ideally need the leadership team to have a keen understanding of what’s involved and more importantly, what the benefits will be. To do so, CX, Digital, Data or AI strategies should be aligned with the organisational strategy and goals set by the executive and board. The other critical components are metrics and a clear articulation of the why. This will generate the interest, while robust measurement and proof of value, will help secure future funding for the programme to scale.

As Industry Analyst firm Gartner® notes in its recent report Predicts 2024: Data and Analytics Governance Requires a Reset: “Data and analytics governance continues to be a significant challenge for many organisations” with reasons including “the lack of alignment to real business needs”. Gartner, Inc states: “Start with your organisation’s business scorecard and strategic plan. Identify the prioritised business initiatives that are critical to achieving strategic organisational outcomes and reframe your Data and AI programme in this business context.”

The tools and tech are available; they just need to be leveraged in a way that provides quick wins upfront. Prioritisation is therefore important – you have finite resources, so start with the project that will have the most profound impact. Then move to the second and third use cases, and once they are delivered, you will have developed a practice around Intelligence and automation, and you will start to notice a kind of snowball effect of efficiency, as your CX capability matures.

Better employee experience

While a seamless customer experience can help boost sales and brand health, it can also bring down the cost of service. That’s because when CX execution is highly manual, you need more people to perform jobs of less value, which in turn is difficult to scale.

When employees involved in customer interactions and experiences are freed from the mechanics of execution, they can focus on enabling optimisations, being involved in strategic initiatives and higher-value components of their jobs.

This is where data, AI and automation have a significant role to play. Employee satisfaction is sometimes overlooked as a benefit, but great customer experience starts with engaging and enabling your own people.

Spark recently asked New Zealand businesses about their uptake of AI and Machine Learning. 40% of organisations reported using data and AI to improve customer journeys and therefore customer experience. If your organisation is not among them, you might want to ask yourself if your competitor is. And if they aren’t, then are you creating an opportunity for a start-up to lure your customers away? As noted upfront, global companies have raised the bar for local consumers who have high expectations when it comes to customer experience. If you don’t find ways to reach those heights, it’s entirely possible someone else will.

Need help with where to get started? Our team is here to support your business to map out the best path to meaningful data and AI-powered customer experiences.

The full Gartner, Inc. report  Predicts 2024: Data and Analytics Governance Requires a Reset has been made available to Insight Engine readers for a limited time here.

Ben Somerset
Ben Somerset
Qrious Data Advisory
Listen to this insight:


Ben Sommerset is a Managing Consultant in the Qrious Advisory and Innovation Practice. Ben works with New Zealand organisations to help them realise the value of their data assets, from getting started on their data maturity journey through to using data to drive innovation and meaningful business change.

1Gartner, Predicts 2024: Data and Analytics Governance Requires a Reset, Andrew White, Guido De Simoni, Saul Judah, Sally Parker, Donna Medeiros, Lydia Clougherty Jones, David Pidsley, Sarah Turkaly, 20 December 2023.

 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. 

Discover how Spark Business Group can help propel your organisation
No items found.