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Review-in-saving service or self-sus.

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發表於 2024-11-9 12:30:32 | 只看該作者 回帖獎勵 |倒序瀏覽 |閱讀模式
It is important for business to collect positive feedback from customers and convert it into reviews online. After all, as a rule, people read reviews to find a suitable service or product and go to those who have more of them. According to Trustpilot statistics for 2020, 89% of users are studying reviews before buying.
The client from two similar companies  will choose the one from which the rating on Yandex Maps, in 2GIS, on Google Maps and other reviews higher. The formation of such a rating involves reviews - namely their quantity and shopify website design  quality. Therefore, the strategy of collecting feedback is very important – it answers the question “how to attract new customers”.‎
So, here the business is faced with a choice - to request manual reviews and cause the consumer, or use a specialized platform and shift the work to the shoulders of a soulless, but hardworking algorithm. Our material will help you to understand how to request a review from the client, spending less resources and make a choice between manual collection of reviews and automatic.
How does manual collection of reviews work?
When it comes to collecting feedback from customers, the manager contacts the person who has received the product/service. Usually for the review offer an additional discount, or a symbolic gift.
Review-in-saving service or self-sus.
They are interviewed in different ways - by e-mail, in social networks, ask questions on the phone. The main thing is to get feedback and help increase customer loyalty.
For example, the client came to the coffee shop, ordered espresso and croissance, gave a phone number to the bariste for the cumulative card. He calls the manager (pranks in the messenger), conducts a standard survey on the quality of service and asks to leave a review. There are problems...




Firstly, 16% of Russian citizens do not pick a phone from unknown numbers, according to A2:Research.
Secondly, if the client is in a bad mood and feels negative to business and to someone who disturbed him in a bad mood, he will rather write a negative review within half an hour. This will have a bad impact on Yandex maps, 2GIS and other platforms.
It's also expensive. We'll have to take stock for the sake of recall. Otherwise, the consumer will have no motivation.
How does the automatic collection of feedback work?
Automatic revocation is a function of a specialized service or bot.

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