Your customers are trying to tell you something. Are you listening? Understand what issues your customers experience - and why - so you can maximise the outcome of business improvements with measurable results. Ipiphany reads your customer feedback at speed by applying a contextual understanding of your business to understand the implications of customer comments on metrics like NPS, CSAT, and ROI.
Ipiphany reads and classifies customer feedback from established sources such as surveys, review sites, complaints, and VoC systems in seconds to help you get a single view of customer feedback across all data sources.
Link cause and effect by understanding the relationships between experiences. Take your keyword-based understanding of “customers have a poor experience with staff” to a context-based analysis revealing that “lack of staff training contributes to increased call time and frustrates customers, driving NPS down by 4 points”
"If you need to analyse, organise and understand key themes from unstructured customer comments, as well as the degree of impact they have on key metrics you are surveying on, then this is the tool you need."
Adrian S
Digital Business Banking Director
Barclays Bank, UK
"It is refreshing to see such a commitment to information security and privacy reflected within systems, technology and culture at Touchpoint Group."
Simon J
Managing Director
Resilient IT, NZ
"Ipiphany enabled us to read tens of thousands of lines of unstructured text from our third party delivery company quickly and efficiently. Providing us with an overview of areas we can improve our customer experience and B2B relationship."
Megan B
Head of Marketing
Tortilla, UK
Traditional analytics methods may allow for hundreds of categories, but Ipiphany enables thousands. You can use this to focus on specific details and find out which changes will have the biggest impact on your business metrics. Ipiphany is trained to extract relevant, actionable insights with the details that matter most to your improvement efforts.
This case study details how Touchpoint Group's AI Customer Analytics Tool, Ipiphany, can be leveraged to help JP Morgan Chase & Co. gain greater insight into the performance of their Mobile App through publicly available customer feedback data.
In this case study, we apply an Insurance Customer Life Cycle Analysis to publicly available review data to help Hastings Direct gain greater insight into potential performance improvements.
“When our NPS suddenly declines, how can a product owner get immediate actionable insight about what to fix, and the potential impact on the NPS score, without having to read hundreds or even thousands of customer verbatim themselves?”
Immediately distil thousands of customer comments into a prioritised framework of positive and negative topics, focusing on what’s important to your business. Ipiphany helps you report detailed insights and applies business impact metrics so you can decide what to action first.
Easily create personalised dashboards that enable business stakeholders to understand and track pain points, insights and KPIs specific to their business unit, function or role.
Ipiphany’s world-leading AI Text Analytics technology is used by leading customer-centric enterprises to drive business understanding and deliver relevant customer insights at the speed and scale they require to make a difference, while mantaining the highest level of security for your customer data. Advanced Natural Language Processing technology uses knowledge graphs to help you resolve issues and improve metrics you care about like NPS, CSAT, and ROI. Whether you’re analysing your own feedback or reviewing competitor performance, Ipiphany gives you the information you need, when you need it, to drive business improvements with measurable results.
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