From Customer Insights to Human Understanding eBook
1 min. Read
Why Telcos Need Personalization to Survive
Telcos are at an inflection point. For years, they’ve faced mounting pressure from better-funded, more innovative tech competitors, and seen a return on investment, profits and market share slowly dwindle.
When the pandemic hit, that pressure increased again. Suddenly, telcos were at the center of our lives; for many, the only means to connect with the outside world. And while leading operators handled that admirably, the crisis threw the reality of changed customer expectations – and the need to accelerate digital transformation to address them – into stark relief.
In such a volatile economic environment, it’s time to think critically about how telcos re-engage customers and reclaim the market. McKinsey lists ‘approach to customer engagement’ and ‘ability to leverage data’ as 2 of its 5 focus areas for telcos. Building strong personalization strategies satisfies both.
What to expect from this eBook:
How telcos can use True Personalization as a powerful marketing tool
How to drive better campaign performance
How Intent HQ helped Verizon extract and make sense of its weblog data to gain a real human understanding of their customers
How to enable True Personalization at scale with the Intent HQ Platform
By no means all of the regulatory action under GDPR has been accomplished through fines on organizations. It is expected that the EU legal consensus regarding privacy will strongly influence their behavior. Since GDPR’s introduction, most regulators have taken a consultative stance, giving advice and looking for incremental improvements in behavior.
Smart service providers are already deepening their customer relationships by delivering services built around each person they serve. The key is robust, human-based data insights—that take the form of a deep and holistic understanding of every individual.
One of the most significant challenges facing the world today is global financial inclusion. Excitingly, recent developments in AI and ML technologies offer the potential to break this cycle and broaden access to a wealth of financial services.
It’s 2017, and you would have thought that creating evidence-based systems of decision has never been easier. After all aren’t the FANG (Facebook, Amazon, Netflix & Google) doing this day in day out? Aren’t closed loop digital systems all hooked up with continual measurement, and isn’t every vendor under the sun promising you it’s easy? It can’t be that difficult!