The telecom industry is in the midst of a technology-driven transformation. Due to rising numbers of devices, increasing broadband and mobile connection speeds, telecom’s technology challenges include implementing IoT, embracing AI, taking advantage of 5G and making their customer gain a competitive advantage. Telcos are focused on:
- Keeping existing customers
- Improving operational efficiencies
- Harnessing the data in their organizations
- Diving deeper into customer insights to improve services
We start with a roadmap using strategies that measure market effectiveness for better conversion rates. Our research into products, segments and behaviors helps us to understand customer profitability and increase margins, followed by an action plan to understand churn and predict CLV.
In this playbook, discover how we’ve helped our clients increase ARPU, drive operational efficiencies, improve NPS scores, conversion rates, revenues and more.
On a global scale, the telecom industry provides crucial services that billions of consumers and businesses rely on every day. Like other industries, telecom has undergone a technology-driven transformation. We’ve helped global telecom’s increase profits and business growth to:
- Increase customer acquisitions by measuring marketing effectiveness for better conversions.
- Generate customer profitability by understanding what products, et al., then attributing cost streams.
- Understand customer churn by predicting customer lifetime value (CLV).
As your partner for success, you leverage our state-of-the-art data science and analytics methodologies and exclusive partnerships.
This playbook, especially curated for the telecom industry demonstrates how we’ve helped our clients increase conversion rates and revenues; reduce churn rates and increase response rates, and more.
Deciding to leave a burning building is easy. You’ve identified the key facts and you’ve prioritized them, so you leave immediately. You can stand around and think about fire prevention later.
When you start Discovery to kick off the creation of a digital product to delight your brand’s users, it’s tempting to learn everything possible. But the point of diminishing returns can sneak up on you and soon you’re not learning anything useful. You’re burning up time that could have gone to testing a live product with an actual audience. Time, money, and other constraints also drive the need to deliver, so you just don’t have time to look under every rock you find.
The key to executing Discovery well is elevating progress over perfection, finding enough answers to make deliberate, strategic decisions that inform your initial product experience, then acting on them.
We see this as we help our customers develop products, and here’s what we’ve learned about driving decisions, direction, and action.
Discovery is not optional.
It can reveal holes you didn’t know that you had. In one case, a customer hired us to build a buy online and pick up in store (BOPIS) tool. Discovery revealed that they had skipped UX research. It took a little longer, but we developed a superior product.
Align on what triggers the end of Discovery.
Discovery means accepting the fact that you won’t answer every question that arises. Use scoping to identify what triggers the end of Discovery. Start building as soon as you trip those triggers, then refine your work as you go.
Use Discovery to drive decisions.
Discovery yields insights. Once you reach the agreed-upon trigger that ends Discovery, start turning those insights into action—draft service design blueprints, document user flows, and begin laying out a prototype. Start on a whiteboard, work quickly, and iterate.
Map the happy path first.
Some customers hire us after they’ve spent months trying to solve for everything that might go wrong. Discovery reveals that they haven’t yet identified what right looks like. The process of getting your entire team aligned behind one definition of success can do a lot to focus them before they move forward.
Actions speak louder than words.
It’s easy to see formal research as the best (or only) way to understand users. But few people will ever research the exact issues that your brand faces, and their findings can go out of date quickly. Instead, create your own product, let people use it, gather your own data on what your actual users want.
In a perfect world, you’d move through Discovery, then build a minimum viable product based on what you learned. Then you’d stand up a digital twin of your audience to test ideas, listen to their feedback, and refine your responses. Then Discovery becomes constant activity driven by AI-enabled analysis of your data.
Now that speed to market matters more every day, the idea that a good plan executed today is better than a perfect plan executed later has never been more relevant. At Revel, we’ll get your product development moving toward optimization quickly.
Want to know more? Reach out and let’s chat.
We pioneer how brands create digital products, so we’re constantly looking for ways for our customers to be more adaptive and responsive as the expectations of their customers evolve. We recently held an internal hackathon to find ideas that leverage composable architectures, data, and AI to drive deeper connection, revenue, and growth.
Fifty-five employees in fifteen teams entered, then seven teams were short-listed to present to a panel consisting of Vikas Kamran, Vamshi Gunta, and Ashish Khandelwal in Bangalore on February 16. The winning teams solved problems that many content teams are tangling with today:
Can page load time be reduced using Adobe AEM and Adobe IO?
The first-place team identified a way to reduce page load times from about 5 seconds to just over 1 second by using Adobe AEM and Adobe IO. This creates a more robust user experience that drives conversion—typically 3x higher than pages that load in 5 seconds and 5x higher than pages that load in 10 seconds*. This solution has reusable architecture available to all Infogain customers.
How can I use ChatGPT in my AEM environment?
The second-place team built an auto-generate function that creates content and metadata for omni-channel marketing. This solution gives writers a co-pilot as they create campaigns, increasing the speed of their work and giving marketers more time to plan. It won’t replace years of marketing skills and experience, but it can give brands a head start on producing amazing content. It leverages Open AI API and works with Facebook and Email. Infogain also has plans to expand it across CMS and other social platforms.
How can I use Open AI for images?
The third-place team leveraged Open AI API and a custom component in AEM sites to generate and integrate images based on natural-language descriptions in minutes. This gives time back to marketers by reducing or eliminating the need for lengthy image search and approval processes, expensive photo shoots, and time-consuming retouching. It also gives designers and art directors a co-pilot as they create campaigns, saving even more time.
Contact us to learn how you can leverage Adobe products and our engineering talent to make more authentic connections with your customers—and drive revenue and growth for your brand.