Retail E-Learning Demo
Description
Vocal Characteristics
Language
EnglishVoice Age
Middle Aged (35-54)Accents
North American (General) North American (US General American - GenAM) North American (US West Coast - California, Portland)Transcript
Note: Transcripts are generated using speech recognition software and may contain errors.
Let's look at the process in detail now and find out exactly what you need to do at each step. Step one. A warm welcome When a new customer enters the store aimed to give them a warm welcome within 30 seconds, this can be as simple as a quick smile and a friendly Hello. It's just to let the customer know that they've been noticed and that you're there if they want any help. An example. Different ways You can acknowledge a customer and make them feel welcome are a nod and a smile. This is particularly useful if there with a companion, you don't need to interrupt their conversation. A simple Hello, Hi, good morning or afternoon. A friendly comment to put them at ease. For example, you might comment on the weather. Is it still pouring out there
Tags
Boss, Host/Interviewer, Teacher, Business Woman, Real Person, Attentive, Authoritative, Confident, Conversational, Educational, Engaging, Friendly, Genuine, Natural, Helpful, North American (General), North American (US General American - GenAM), North American (US West Coast - California, Portland)