April 12, 2022 | 06 min read
Share:
An average shopper today is thinking about buying three-five items every hour. The Online-to-Offline or O2O Business Model is coming more to light with increasing purchasing power and product options that are turning the market intense, both for manufacturers and consumers.
Shopping is no longer a chore always. Instead, it’s a discovery to grab the best deal the make the lifestyle better. And selling is no more a point to point marketing execution, but an integrated consumer experience to nurture a sale.
The Online-to-Offline (O2O) business model is a business strategy, built as a part of a company’s omnichannel play, to attract consumers to step out of online interactions to an in-store retail experience. In the simplest sense, O2O Commerce motivates the customer to step into the store and explore the brand and its products more extensively.
Some O2O Business Examples present across different industries are:
Amazon Fresh Pickup: Reinventing the grocery shopping experience, Amazon has started letting customers order online on the Amazon app and visit the store at a scheduled time to pick up their packed groceries. This majorly increases the order fulfilment time while shifting the customer experience from an online space to the real world.
Lenskart India: After the company began its operations in the eCommerce world, it registered the growing need to create an offline footprint and merge the experience to increase the average order value. Today, shoppers can browse products on Lenskart’s website and book a free eye test at home, where they can try out over 250 frames right from their couch and place an order immediately, or try more options at a store near them anytime later. To make the sale happen, Lenskart’s retail stores offer a different set of discounts, than the ones on its website.
The Covid pandemic has accelerated the need for O2O Commerce, with shoppers preferring shopping online with ease, rather than making the effort to step into the store. But this ease is leading to thousands of abandoned carts and millions of dollars being spent to bring back to consumer.
But while the benefits are many, the effort is enormous. Moving the consumer from their comfort space to be present in shops requires higher value creation. The below framework illustrates the structure of the O2O Business Model and how it brings more value to the consumer and the company.
Understanding how O2O works and finding the right insights to build O2O strategies are core factors in driving a successful O2O business model.
That’s because different markets have different requirements. For example, rural consumers may need some information to motivate them to visit nearby brand stores, while hefty discounts might be needed to grab the attention in the urban markets.
Intelligent retail technology helps immensely in the strong formulation and execution of O2O Marketing Strategies by digitally managing the supply chain of O2O retail.
Integrating the backend of the online and offline engine with a retail intelligence platform, gives retail brands the ability to drive data across channels to make more effective business decisions.
Instead of fulfilling orders from one geography to another, all channel partners can be integrated into a single platform, to get online fulfilled by the nearest seller. Data will also create the scope for larger strategies where information can be leveraged to give the consumer the same personalized experience in the offline world, as online.
For example, if a consumer is looking for good house painters and colour shops near them, retail solutions like WhatsApp Bot can share a list of company stores and recommended painters over chat. Here, through this sharing of information, the company is being able to create value, which will translate into a sale when the buyer decides to visit the store and explore the products with the painter the company recommended.
Another recognised retail technology – Suggested Ordering, can predict the perfect order for every retailer by capturing the product’s demand on online platforms and the buying behaviour of offline consumers. Here, availability is backed by information, which makes distribution highly data-driven.
Find My Store is one of the most commonly found O2O focused retail solutions available on most company websites. A web-based store locator, this retail tech reads the current location of a consumer and shows them details and directions of the various outlets of the company near them.
So, in a nutshell, intelligent retail solutions with an omnichannel focus make product selling and distribution more effortless. Strategies are built on data, and when data can be compiled, studied and represented in an insightful manner, it appreciates the impact of the strategy.
The most needed O2O Strategies in 2022 that every business with a website and offline distribution should follow are:
Thus, to conclude, the O2O business model will help you create a bigger brand presence and meet the demand in the market more pertinently. To know more about how to use retail technology to enable the O2O business model in your retail trade, connect with our team at marketing@mobisy.com for a free demo.
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-advertisement | 1 year | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertisement". |
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
elementor | never | This cookie is used by the website's WordPress theme. It allows the website owner to implement or change the website's content in real-time. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
collect_chat_launcher_load | 1 month | This cookie is set by the provider Collect.chat. This cookie is used for enabling the chat function on the website. |
collect_chat_page_load | 1 month | This cookie is set by the provider Collect.chat. This cookie is used for optimizing the chat-box functionality by recognising the user. |
Cookie | Duration | Description |
---|---|---|
_gat | 1 minute | This cookies is installed by Google Universal Analytics to throttle the request rate to limit the colllection of data on high traffic sites. |
Cookie | Duration | Description |
---|---|---|
CONSENT | 16 years 4 months 14 hours 16 minutes | These cookies are set via embedded youtube-videos. They register anonymous statistical data on for example how many times the video is displayed and what settings are used for playback.No sensitive data is collected unless you log in to your google account, in that case your choices are linked with your account, for example if you click “like” on a video. |
_ga | 2 years | This cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors. |
_gat_gtag_UA_34263932_3 | 1 minute | This cookie is set by Google and is used to distinguish users. |
_gid | 1 day | This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected including the number visitors, the source where they have come from, and the pages visted in an anonymous form. |
Cookie | Duration | Description |
---|---|---|
fr | 3 months | The cookie is set by Facebook to show relevant advertisments to the users and measure and improve the advertisements. The cookie also tracks the behavior of the user across the web on sites that have Facebook pixel or Facebook social plugin. |
IDE | 1 year 24 days | Used by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile. |
test_cookie | 15 minutes | This cookie is set by doubleclick.net. The purpose of the cookie is to determine if the user's browser supports cookies. |
VISITOR_INFO1_LIVE | 5 months 27 days | This cookie is set by Youtube. Used to track the information of the embedded YouTube videos on a website. |
YSC | session | This cookies is set by Youtube and is used to track the views of embedded videos. |
yt-remote-connected-devices | never | These cookies are set via embedded youtube-videos. |
yt-remote-device-id | never | These cookies are set via embedded youtube-videos. |
yt.innertube::nextId | never | These cookies are set via embedded youtube-videos. |
yt.innertube::requests | never | These cookies are set via embedded youtube-videos. |
_fbp | 3 months | This cookie is set by Facebook to deliver advertisement when they are on Facebook or a digital platform powered by Facebook advertising after visiting this website. |