veronica stenberg blog

Notebook

customer-survey-strategy In my experience and workI've noticed that customer surveys are often overlooked by businesses before large projects or program investments. It's such an easy and cheap tool, which connects you with your customers and can help your company iterate and improve both product and service. A a source to gain valuable insights from the customers where their voice and opinion can add value and a much needed outside perspective. If you are creative, this can be used as a tool to build loyalty - and repeat orders from your customers :) This article covers the overall customer survey strategy so to speak.

This article is written for someone working on the clients side, looking to improve collaboration or want to know what you should expect. But also useful for anyone working on the agency side, to make sure you can ask your client the right questions and to help for the relationship. This article is written from a fullservice perspective - i.e from an agency providing insight work, to building websites to managing your marketing investments. I've tried to make this as generic as possible and from a collaborative viewpoint. Part one focuses on setting the foundation - when you start a new collaboration - a few points that I think is useful to have in mind in this particular phase of a new budding client-agency relationship.

This is my calculation which I use when I want to see if there is a business case behind a media investment for my clients or my own marketing initiatives. There are so much information available today, and from that you can manually calculate predictions and potentials before you choose to invest in a specific media, channel or campaign. Armed with the right specific, relevant numbers for your business and some industry averages you can create a hypothesis for the potential for an investment if you are unsure, or just want to make a calculation in terms how you should re-distribute your media budgets and what the potential could be. Marketing today, merges business savviness and analytical skills. There is just a question of time (I guess there already is someone out there who has turned this into a formula, if not, that someone could make some nice bit of cash on a software for this, collecting data from advertisers, merged with some kind of ad score to calculate predictions based on data available).