There is described a method and system for generating social media engagement and, in particular, social media engagement for brick and mortar businesses.
Social media, online reviews and alike have transformed the consumer landscape over the past decade. Traditional brick and mortar businesses have been forced to become involved with a myriad of online strategies. Metrics such as Facebook followers, likes', ‘shares’ and posts, Google reviews, traffic on ‘Instagram’ and ‘Twitter’ are but a few examples of critical engagement points and search criteria needed for business to grow, limit market retraction or in fact survive as they potentially are seeing their business revenues cannibalized in an online consumer world. The need to manage Google reviews, a key indicator in Google's search algorithm, is critical.
Online reviews and customer feedback is very important to all businesses. As a prospective customer, positive reviews may craft expectations, provide credibility, and instil confidence in making a purchase. Conversely, negative reviews may cause customers to shop elsewhere or buy different products. A retailer is always trying to improve their customer's experience. However obtaining the opinions of customers of brick and mortar retailers has continuously proved difficult to accomplish.
Many businesses are currently seeking customer feedback through online surveys. However, as a customer it is easy to forget about a survey on a receipt or not have enough buy-in to follow through to go online to complete the survey. To overcome this problem, it is common to see something along the lines of “Fill out this survey online for a chance to win $1000” or “Fill out this survey online to receive a free Dilly Bar” at the bottom of the receipt. This is done by numerous companies, though the participation of those online surveys is in the <1% range. Furthermore, it has been found that the data currently obtained from online surveys is skewed by the participation of two types of customers. Customers who have had a negative experience will take the time to provide their negative feedback. Customers who like to win prizes or receive free merchandize will take the time to fill out a survey.
According to one aspect, there is provided a method for generating social media engagement. The method involves placing at a brick and mortar business a computing device with a customer interface. Upon a triggering event, the computing device prompts a customer using the customer interface to complete a satisfaction survey. When the customer's interaction with the satisfaction survey meets a predetermined threshold, which is indicative of satisfaction, the computing device prompting the customer to post to social media and directing the customer to a URL with their interaction with the satisfaction survey pre-populating a social media post.
According to another aspect there is provided a system for generating social media engagement. The system consists of a computing device with a customer interface positioned in situ in a brick and mortar business. The computing device is programmed to prompt a customer using the customer interface to complete a satisfaction survey and, upon the customer completing the satisfaction survey, prompt the customer to post to social media and directing the customer to a URL with their interaction with the satisfaction survey pre-populating a social media post.
The description which follows will provide more detail on the method and the system. Preliminary field trials of the method and system have resulted in participation in the satisfaction survey and favourable social media posts increasing from less than 1% to over 10%. This is a huge improvement. It is believed that as customers become familiar with the method and the system that participation rates will further increase.
Whenever customers are asked to provide their feedback and post their feedback online to social media, there is always a risk that the customer will be dissatisfied with their shopping experience and will post a negative review. Even better result may be obtained by having the computing device send a contemporaneous alert to an employee of the brick and mortar business before posting occurs when the customer's interaction with the satisfaction survey fails to meet a predetermined threshold, which is indicative of dissatisfaction.
By prompt intervention of by an employee with customer relations skills, the source of the customer's satisfaction can be addressed before the satisfaction survey result have been posted. Ideally, this will enable the customer to redo the satisfaction survey and prevent any negative posts. However, the alert for employee intervention will, at minimum, result in the customer admitting that the business was responsive to the customer's concerns. It is to be noted that an automated posting does not occur in case of dissatisfaction, for the very reason that the method and the system will endeavour to provide time for employee intervention.
As will hereinafter be described, there are ways which the method and system can be streamlined to make it easier for the customer and take less time. For example, a loyalty card could have an associated social media profile for the customer. Upon a customer scanning their card into the customer interface, allowing them to reap the associated rewards of the loyalty or rewards card, they are provided an opportunity to complete a review and that review is posted immediately, provided conditions are met, from the computing device to a social media post from the customer's associated social media account.
These and other features will become more apparent from the following description in which reference is made to the appended drawings, the drawings are for the purpose of illustration only and are not intended to be in any way limiting, wherein:
A method and system for generating social media engagement now be described with reference to
Referring to
24 shows that should the data value fall below the threshold, the system can be configured to either automatically notify a manager or present the customer with the option to call for a manager. 26 demonstrates a potential result of the system wherein a manager has been notified either automatically or at the request of a customer. If there is mild dissatisfaction, the computing device is programmed to send a direct message to the customer's personal electronic device indicating that their next interaction will be a better experience and tagging the customer account for preferential treatment. If there is strong dissatisfaction, the computing device is programmed to send a direct message to the customer's personal electronic device providing a financial loyalty retention incentive, such as coupons or loyalty points.
28 continues the interaction for when the customer's data has exceeded the prescribed threshold and further engagement is suggested. The system provides the customer with a scannable code, such as a QR code) and logs the local data to the system as shown by 30. When the customer makes the decision to scan the code with their personal electronic device, 32, it will lead them to 34 where the system takes them via URL to a page with the data they have entered into the customer facing device is pre-loaded into a social media form that allows them to post their from their unique social media account.
36 shows that when a customer does not choose to scan the code, this leads to 38 where a customer leaves without uploading any public data from their unique social media account, though the system has still collected data from the user and conceivably could be posted anonymously.
Every interaction with the customer provides a further opportunity to collect customer feedback and, when the interaction with the customer has been positive, social media engagement. Retail stores have electronic directories that customers can access to obtain more information about a product that they are considering purchasing. Retail stores have systems for contacting sales associates to allow access to products that are kept in locked display case for security purposes or bulky products that are kept in adjoining warehouse space in order to preserve limited floor display space.
The system can track the time it takes from a contact by a customer with an electronic directory or sales associate to an actual purchase. Standards can be set as to how much time one would expect from such contact to purchase. If the time from contact to purchase is less than anticipated standards, one can reasonably expect a satisfied customer and send a notification prompting the customer to complete a customer satisfaction survey through their personal computing device. This will engage customers while they are in a contented state. The system is then able to capture positive reviews for the retailer that may otherwise would have been missed.
Conversely, if the time from contact to purchase is greater than anticipated standards, this may be an indication of a dissatisfied customer. If the system detects that the customer has had an arbitrarily long experience, the system notifies the customer on their personal computing device that the brick and mortar retailer will ensure that the customer's experience next time will be better. The system could conceivably advance that customer through service queues faster upon their next visit and indicate to staff that the customer had a negative experience during their last visit and every effort should be made to improve the service on this visit.
If after interaction, the server will be aware if a purchase does not subsequently occur. If the system identifies that the customer has abandoned their purchase, for example if they left an electronic directory without purchasing or asked for store staff to retrieve an item from the warehouse but they ultimately did not purchase the item, the system could conceivably contact the customer, to understand why the customer left without purchasing their items. This would provide better insight for the retailer as to why they lost a sale and allow the retailer to risk mitigate should it be found that the customer had had a negative experience.
Referring to
In this patent document, the word “comprising” is used in its non-limiting sense to mean that items following the word are included, but items not specifically mentioned are not excluded. A reference to an element by the indefinite article “a” does not exclude the possibility that more than one of the element is present, unless the context clearly requires that there be one and only one of the elements.
The scope of the claims should not be limited by the illustrated embodiments set forth as examples, but should be given the broadest interpretation consistent with a purposive construction of the claims in view of the description as a whole.
Number | Date | Country | Kind |
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3075570 | Mar 2020 | CA | national |