Since the advent of the internet, all manner of questions have been able to be answered at the push of a button.
This has led to the development of what is known as "big data", where the movements of consumers are now predicted by machines, so businesses can stay ahead of the curve.
While this is becoming more common, it does not mean that there is no place for traditional marketing in everyday life.
In fact, customer surveys may be more important than ever before.
These can be used to determine a consumer's motivations and may help your business decide what changes need to be enacted in order to prevent their clients from jumping ship.
On the other hand, big data can only be used to tell you that a customer is unhappy and predict if they are likely to look elsewhere for the product or service you offer.
Often these big data initiatives are linked to social media and aim to integrate data and analyse patterns.
However, in order to best get the response that will be able to assist your business to make required changes to keep customers on board, you will need to be careful about the kind of surveys you are creating.
For example, a survey that is too long could potentially put people off, and you may see increased drop-off rates as people decide not to fill in all the required information.
This means you may not get as much feedback as you require in order to gauge what your customers really think.
When you design your survey, it is important to consider what end result you are looking for – remember the overall questions you want answered.
Your queries will also need to be considered carefully as they need to encourage answers that will be directly actionable. Before you send out your survey, make sure you do a test run to see what the final results might look like.
Peoplepulse can help you to create the perfect survey. Click here for a free demonstration and see what response you might get.
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