Three suggestions for optimizing online word-of-mouth marketing in
In the first half of 0 0, global companies were shroud in the shadow of the epidemic. from offline to online word-of-mouth marketing. This change further highlight the importance of social m ia marketing. While increasing corporate visibility, they also fully understood consumer fe back on the brand, thereby improving themselves and maintaining competitiveness.
Today, Youyihua will share with you
three suggestions for online word-of-mouth marketing on social m ia. Let’s take a look~
First point: Social m ia will focus on promoting “one-stop business”
What is one-stop business? For example, in the past, the process of every consumer buying a product was mostly divid into knowing the product, collecting reviews on different web pages, and planting other products on the way. After the re-promotion of advertisements, they decid whether to buy. There are countless opportunities for consumers to give up buying your product, so in order to r uce this situation, “one-stop business” was born.
For example, a certain product is promot
on Instagram Stories, which has information about the product and a purchase link, and there are also tagging (labels) that allow the public to find product reviews. Once you bc data brazil enter the link, you can decide whether to buy it or not. From knowing the product, checking other people’s reviews, to deciding to buy, it is all done on the same platform, so it is call “one-stop business”. Brands and social m ia platforms work together to create exclusive homepages, with everything from display pages to purchase links. From the perspective of consumers, it is much more convenient!
Online Word of Mouth Marketing
Second point: Social listening is an essential tool to prevent PR disasters
We have previously introduc the concept of social when the epidemic occurred listening, which refers to companies using the Internet to collect consumer fe back, observe the positioning of corporate brands in the market, understand the reputation of their own products among material data consumers, and gain insight into the actions of competitors. It can also accurately analyze the performance of social m ia for corporate brands,