Tag Archives: Google

Data-Driven Marketing Technologies and Disruptive Innovations

The latest disruptive technologies are supporting  the  marketing mix elements as they can improve the businesses’ interactive engagement with prospective customers, and enhance their personalization of services. They  may also provide secure pricing options.

Many firms are evolving from their passive, rigid, and product-centric state to a more flexible, dynamic, and customer-centric environment. Technology is enabling data-driven companies to monitor and detect any changes in consumer sentiment. Savvy technology giants including Facebook, Amazon, Microsoft and Google are capturing (and analyzing) the online and mobile activity of prospective customers. Their analytics captures the consumers’ interactions with brands and companies through digital media. Big data is enabling them to target and re-target individu­als and online communities with instantaneous pricing and access options, across multiple channels (via web-site activity, mobile,video, social media, e-commerce, among others). 

Mobile tracking technologies are being utilized by big technology conglomerates as they gather information on the consumer behaviours, including their shopping habits, lifestyle preferences , et cetera. Businesses have learnt how to take advantage of on-demand, real-time information from sensors, radio frequency identification and other location tracking devices to better understand their marketing environments at a more granular level (Storey and Song, 2017). This way business could come up with personalised products and services, that are demanded by individual customers. From a business perspective, it is important to acquire this data, quickly, and in high velocities.

Many businesses are already benefiting of the programmatic advertising environment; where buyers and sellers of digital advertising connect online to exchange available inventory (Busch,2016; Stevens et al., 2016).  The challenge for tomorrow’s businesses is to recognize the value of smart technologies as effective tools that can help them analyse their marketing environment; that comprise their customers as well as their competitors.

The predictive-analytical tools can examine different scenarios as they can anticipate what will happen, when it will happen, and can explain why it happens. These technologies can monetise data by identifying revenue generating opportunities and cost savings.

Other innovations, including; blockchain’s distributed ledger technologies are improving data privacy. This technology involves the verification and the secure recording of transactions among an interconnected set of users. Blockchain tracks the ownership of assets before, during, and after any online transaction. Therefore, this technology could be used by different businesses to facilitate their transactions with marketplace stakeholders, including; suppliers, intermediaries, and consumers across borders. The block chain will probably be more convenient than other payment options, in terms of time and money. Therefore, blockchain’s ledger technology can possibly lead to better customer service levels and operational efficiencies for businesses.

The smart tourism technologies, including big data analytics are shifting how organisations collect, analyze and utilise and distribute data. A thorough literature review suggests that the crunching of big data analytics is generating meaningful insights and supporting tourism marketers in their decision making. Moreover,other technologies, including the programmatic advertising and block chain are helping them to improve their financial and strategic performance, whilst minimizing costs. Table 1 illustrates how smart tourism businesses are capturing, analysing and distributing data.

Table 1. Data-driven approaches for smart tourism

(Camilleri, 2018)

Emerging Trends and Future Research

Tomorrow’s tourism businesses will be serving customers from geographically-diverse regions. There will be more travellers from emerging markets and developing economies. The tourism service providers will have to cater to different demographics, including senior citizens and individuals with special needs; as the populations are getting older in many countries.

Therefore,  smart technologies can be used to anticipate the discerned consumers’ requirements. For instance, the use of programmatic advertising will probably increase the individuals’ intuitive shopping experiences and can tap into the individuals’ discretionary purchases.

It is very likely, that the third-party retailers will continue to form part of the distribution mix. However, many service providers will be using their direct channels to reach out to their targeted customers. 

The sales of products will continue to rely on mobile devices with increased consumer interactions through speech and voice recognition software. The service providers may possibly rely on artificial intelligence and other forms of cognitive learning capabilities, like machine learning and deep learning.

The businesses’ distributive systems could interface with virtual reality software to help online intermediaries to merchandise their products in captivating customer experiences. Many online prospects may use blockchain’s secure technology to purchase tourism products, in the foreseeable future.

This contribution calls for further empirical research that could explore smart tourism innovations for individuals and organisations, including; mobile social networking, mobile visualisation, personalization and behavioural modelling for mobile apps, programmatic advertising, blockchain, AI, and the internet of things, among other areas.

References

Busch, O. (2016), “The programmatic advertising principle”, In Programmatic Advertising (pp. 3-15). Springer, Cham, Switzerland.

Camilleri, M.A. (2018) Data-Driven Marketing and Disruptive Technologies. Working Paper 08/2018, Department of Corporate Communication, University of Malta. 

Stevens, A., Rau, A., and McIntyre, M. (2016), “Integrated campaign planning in a programmatic world”, In Programmatic Advertising (pp. 193-210), Springer, Cham, Switzerland. 

Storey, V. C., and Song, I. Y. (2017), “Big data technologies and Management: What conceptual modeling can do?”, Data and Knowledge Engineering, Vol. 108, pp. 50-67.

 

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Tourism and Technology: What the future holds for travel distribution?

mobile.pngThe development of digital media technologies, particularly the internet and social media are offering a wide range of possibilities to the travel industry. These latest technological advances have enabled many travel businesses, including airlines and hotels to manage their distribution channels in a more efficient and economical way.

With the changing landscape of travel e-commerce and the ubiquity of IT solutions which gather, store, and analyse data in a variety of ways; airlines have improved their ability to monitor their performance across channels. Very often, they are in a position to quickly adjust offers. Their prices are usually based on a variety of situations and circumstances, as they optimise communications and transactions.

By using big data and analytics on their customer behaviours, many travel businesses are taking advantage of channel-based distribution. Hence, the distribution networks have come a long way from the ticket counter. Evidently, travel and tourism businesses are leveraging themselves with data-driven marketing, as they seek new customers and prospects. For example, they may increase their profitability from high-yield customers as they are using elaborated pricing and revenue management systems. The travel distribution is evolving from its current passive, rigid, and technology-centric state to a more flexible, dynamic, and passenger-centric environment which we call ‘Active Distribution’.

Any changes in the tourism distributive systems may be stimulated by external macro factors such as politics and trade, global and national economies, technological innovations and access to them, et cetera. The airline industry could also be effected by increased competition from low-cost carriers, merger and acquisitions, and fuel costs, among other issues. However, the commercial future of the tourism industry may also be influenced by other factors, including travel distribution.

Tourism businesses can possibly become even more effective in how they sell their products and services, particularly if they deliver positive customer experiences. Tourists perceive value in customer-centric businesses. Most probably, in future, there will be significant improvements in terms of technologically enhanced customer services.

Tomorrow’s businesses will be serving passengers from geographically-diverse regions.  There will be more travellers from emerging markets and developing economies. The travel distribution systems will have to cater for senior citizens, as there are aging populations in many countries.

The distributive channels must be designed to accommodate a divergent nature of users. Tourism service providers and their intermediaries have to provide engaging, intuitive shopping experiences that tap into the traveller’s discretionary purchases.

The businesses will need to embrace new technologies and flexible distribution processes, as outmoded distribution components will be replaced. It is envisaged that the distributive systems will be increasingly relying on mobile devices as these technologies enable consumer interaction with speech and voice recognition software.

The tourism businesses will leverage themselves with artificial intelligence which could facilitate dynamic pricing as well as personalisation of services.

The distributive  systems could interface with virtual  reality software to help businesses merchandise their products in captivating customer experiences.

The third-party retailers will continue to form part of the distribution mix. However, many service providers will be using their direct channels to reach their targeted customers.

There will probably be fewer market intermediaries and online travel agencies will see significant declines.

It is very likely, that airlines will not have to pre-file volumes of defined fares through third-parties as they may not rely on inventory buckets to manage their selling capacity. The airlines must recognise the need to invest in new internal selling systems. Today’s passenger service systems lack the flexibility that airlines require. They are not adequate enough to serve  the airlines’ flexible and dynamic sales environments. These systems could be replaced with modular retailing platforms. Full Retailing Platforms (FRPs) will allows airlines to take back the control they require to be better retailers through any distribution channel (IATA, 2016).

However, Google, the multinational technology company, could be playing a much larger role in travel distribution. The technology giant could participate in, and possibly disrupt the tourism industry if it becomes an online travel agency. whether through acquisition or by launching a product of its own. In fact, its travel product, Google Flights is increasing in popularity among travellers.

Moreover, there have been recent developments in online payment facilities. Undoubtedly, there will further improvements in this area, as well. Payment providers like M-Pesa, Alipay, and PayPal will probably become more important.

In the foreseeable future, the travel marketplace will surely introduce new technologies and capabilities as multiple venture capital firms are increasingly investing in disruptive innovation.

There may be new businesses which could penetrate the market, including private air service operators who could provide “on-demand” airline services; alternatively, technology companies could develop or acquire their meta-search engines or online travel agencies.

Undoubtedly, the travel and tourism businesses need to find ways that intentionally overturn decades of outdated, distribution practices. The distribution community can choose to innovate and disrupt, or allow others to be leading innovators.

 

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Google’s Advantage in Native Advertising

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There are many internet users who may be wary of their privacy settings and on the information they share online. One of the reasons is that it is very likely that ICT giants like Google and Facebook may know their users very well. Google, in particular might know where its users are, the places they go to, the location of their home address and where’s their place of work, who are its users’ closest friends, the things they like, the websites they browse and in many cases, even the content of their emails.

Provided that individuals don’t mind giving up a chunk of personal data, their life can be made a bit easier by the web’s services. The internet’s mantra is to make information more useful, accessible and readily available to everyone. Nowadays, we use our tablets or smart phones and visit dozens of websites to learn about products and services. Savvy consumers like to compare prices whether they are buying items online or in retail stores. The latest technological developments and additional sources of information are influencing consumer behaviour as it appears that they are becoming more frugal in their purchase decisions. Consumers are seeking better value and good deals in return for their money.

Google is increasingly exposing its search functionality to its users. Last year, it tested a ‘Knowledge Graph’ pop-up which featured a carousel of images along with certain search results on hotel accommodation. As with restaurants and bars, review scores and recommendations are usually generated by consumers themselves rather than through conventional search engine optimisation tricks. It seems that Google’s drive is to personalise the search experience through ‘meta-search’ tools which aim to recognise what exactly users are looking for. In this day and age, it is very important to understand the broader context of consumers’ search queries. For instance, internet users may start searching for flights. Afterwards they might browse for hotels, then restaurants as well as cultural activities. Evidently, Google is responding to such queries by bringing up pictures of neighbourhoods, reviews as and also Trip Advisor content.

Recently, Google has been looking for the meaning beyond its users’ search content. Before September 2013, Google’s searches were focused on site content which improved its results by penalising low-quality material. However, the search engine’s latest algorithm, Google Hummingbird is focusing more on the search query itself. Hummingbird has implemented something called “conversational search” in order to better understand what users want when they either type or speak a search query into Google’s search engine. For example; the query, “Where can I buy a smart phone, near me?” Pre-Hummingbird Google would have prioritised search results that match individual words – like “buy” and “smart phone.” With Hummingbird, Google can better understand what users want from their query. Most probably, Google may know your exact location and hopefully it can find smart phones near you. It may be in a better position to determine whether you want a brick-and-mortar store rather than an online retailer. In a nutshell, Hummingbird is focusing on the meaning of the entire search query rather than simply searching for key terms. Hummingbird allows Google to provide its users with more accurate results and better site rankings.

Notwithstanding, Google often utilises its users’ data to re-target advertising to them. Google collates its users’ profiles with their data. Personal information is being used by Google for business purposes. Google Adwordsdisplays the marketers’ messages in front of potential customers; right when they’re using its search engine, watching a video on YouTube or when they are receiving their email through Gmail. As a result, online marketing ads appear on google users’ screens. These ads capture the users’ attention by providing certain content which may possibly appeal to them as potential customers. Such online advertising is called ‘native advertising’. Professional marketers are capable of producing relevant content which can entice customers’ to purchase their products or services. The right content is personalised in both its form and function according to individual customers’ needs and wants. This way, paid advertising may feel less intrusive and there’s a better chance that internet users will click on these web ads. The most popular formats for native advertising usually feature promoted articles, images, videos, music as well as other media.

In the past few years tech giants, particularly Google strived in their endeavours to gather valuable information about their users’ interests, the things they look for, their friends, the places they like and what have you! Google maintains that it can better serve its users if they voluntarily disclose their data on the web.

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