For any retail venue the key strategy should be to merge the lines between physical and digital by bringing Instore foot traffic Online. Businesses often do not consider a strategy for acquisition of customer data, and fail to understand that their rent, or mortgage, should be treated like a marketing expense to build loyal customer data.

To capitalise on foot traffic, a large QR code is designed on to each truck. People may use the QR code to subscribe to the Munchie Club. MOBLE’s Message Automation tool is used to send targeted SMS and WhatsApp promotions to these loyal passers by who have either purchased 'Instore' or have shown an interest and subscribed to purchase later.

By logging in, Munchie Club members, get special pricing and offers. They may see the normal RRP price with a 'strikethrough' to see their member price. This works much better than promo codes since offers can be controlled for each product. Though of course, all MOBLE websites also have discount codes, out-of-the-box, as your would expect.

When Munchie Club members receive offers, they may buy instantly on their phone. Conversation rates are alway enhanced when trying to make the sale now on phones, as appose to a standard message, which only aims to get people back in venue. This is because people will often buy on impulse and lock in the sale now. If customers do not buy now, they often get distracted and never go back to the venue, even though may have liked the offer and had every intention to act upon it. The beauty of mobile ecommerce is that your website is a high converting ecommerce machine. You business is your customers pocket all the time, wherever they are, which is far superior than traditional Instore POS machines.

Data is a new economy, your MOBLE e-commerce solution protects data for both the Member and for Store, while serving as a highly effective solution to make the most of foot traffci, removing dependance on expensive ad spend. Traditional credit card style Point of Sale Systems (POS) do not capture customer details and can not understand the buying habits and preferences of individual customers in order to personalise high converting offers based on their buying habits.