What is it that even your most happy, loyal clients are not talking about? What aspects of your brand go unnoticed? AI text analysis enables you to hear this sound of silence. Dedicated algorithms are constantly looking for all aspects of your brand – making silence a vital brand signal.
Client listening is evolving from a narrow research focus to a broad always on listening approach. Key client interviews and annual surveys are a great starting point. But they only reveal a snapshot of selected clients. To understand evolving client needs, firms must look at the full picture. Always-on client listening enables you to see it.
Client listening has traditionally taken a project-based approach to feedback, driven by annual research projects. While research is a valuable piece of the puzzle, it’s far from the whole picture. To overcome the perils of project-based feedback, firms are making the move to always-on client listening.
As marketers and business development professionals, we recognise the importance of customer feedback in shaping strategies. However, manual data collection and analysis can be biassed and lead to subjective insights. By leveraging AI, you can transform your feedback loop and derive actionable insights that enhance relationships, reputation, and revenues.
In a competitive market, where firms are striving for a competitive edge, momentum can be the difference between success and stagnation. But how can Marketing and BD teams build this momentum and turn insights into actions that drive incremental revenues? The answer is to create a Feedback Flywheel.
Have you ever thought about your client feedback programme as an orchestra? When you're using all your sources of client feedback – both formal and informal – you hear a performance that's in perfect tune and harmony. But if your feedback programme is a series of seasonal projects, then you start to get a cacophony of disjointed voices – it’s time to unify the voice of your clients.