A tag management system helps businesses manage and improve their digital marketing efforts. Learn about the various types and their advantages!
Learn how clickstream data analysis can help e-commerce businesses boost conversions with cross-selling and upselling while improving customer experience.
Marketing Analytics 101! Learn how defining the right set of marketing metrics will facilitate the growth of your enterprise.
The digital era has drastically changed the way we make transactions. The retail industry is undergoing rapid digitization wherein more physical stores are introducing their online sales platforms. With e-retailers like Amazon realizing enormous profits and seeing continual expansion, a large number of brick-and-mortar stores worldwide are working towards upping their digital game and implementing…Continue Reading “Technological Innovations Driving the Retail Industry”
The restaurant business has since grown tremendously with the increase in demand for ethnic food, rise in population, globalization, and advances in technology. In 2016, the restaurant market in the US is expected to reach more than $782 billion. The market has sure come a long way considering the fact that it was worth 42.8 billion in 1970. Restaurant business owners have started deploying analytics to improve operational decisions and extract savings.
Customer experience is one of the most significant factor in hospitality that differentiates one from the rest.
It does not matter whether one is travelling on a business trip or a leisure trip with family and friends, they always expect to have the best class experience during their trip. Earlier, managing customer experience was easy as they tracked only bookings data and reviews from travellers in a feedback form while checking out to improve their performance.
A Recommendation Engine plays a vital role in increasing the chances of a user buying a product. In today’s world, with tons of data from searched products available (thanks to the digital data explosion), it is very easy to find what people are likely to buy – just by looking at their ‘intent’ data. Needless to say, right analysis of such BIG data is absolutely necessary. This is where the Recommendation Engine comes into the picture.
Before the era of supermarkets hit our country, the ration of the house would come in from the neighbourhood mom-n-pop store right around the corner. Our grandparents would hand us a ten rupee note and send us off to buy a pack of biscuits, or milk, or sometimes detergent from the same shop day after day. After a few days, the shopkeeper would know you by name, and many times drop in a free candy especially for you.
Didn’t that feel nice? When was the last time, the lady at the cashier in Big Bazaar told your child “So, you scored an A on that test? Here! Take a free candy!”
The advent of ‘big data’ has completely changed the way businesses can harness the information about customers to make powerful business decisions. Data could be of any type – campaign information, customer demographics, individual transaction behavior, interactions on social networks, web usage, or satisfaction surveys etc. In this infographic, we highlight the impact of customer experience on business outcomes and BRIDGEi2i’s customer intelligence solutions.
Consider this scenario: As a Digital Marketing Manager, you are assigned a budget for the quarter and pull upon multiple resources within the firm to churn out attractive infographics, well defined guides, promising whitepapers and compelling blog posts back to back; you then share them across social media channels, paid and otherwise, and sit back waiting for the leads to flow in – a job well done right? Absolutely not!