What is OTT:
OTT or “over the top media” is the process of streaming media content (audio, video…) using the internet directly to viewers. It bypasses the traditional content distribution using cable/satellite. You can access OTT content using a website or an app through a media player and you require a mobile device, computer or smart TV.
What industries is OTT disrupting:
OTT is the future of the entertainment industry including:
- TV / Radio
What is VOD:
VOD or “Video on Demand” is a service that allows users to choose / play back video content that they can access online and is available any time, any where.
Within VOD, there are 3 services that are delivered via OTT:
- AVOD “AD supported Video on Demand” platforms such as Youtube, and Hulu
- SVOD “Subscription supported Video on Demand” platforms such as CanalPlay, Disney+, Netflix and Amazon prime.
- TVOD “Transaction Video on Demand” platforms such as iTunes, and Google Play.
What is the relationship between OTT & VOD
OTT is part of “VOD”. OTT is a channel used to deliver VOD. VOD can also be delivered via cable. However, OTT is also used to stream live videos and online live sports. Below is an infographic that can clarify the difference:
What is a “CDN”?
A ” CDN ” or content delivery network are a group of servers distributed in various geographical area to ensure a fast delivery of content online. Companies have been serving content using CDN services, including VOD platforms.
These VOD platforms either use in-house CDN solutions or use third party services from providers such as Anevia.
Why Should Companies Optimize their Traditional CDN for Faster Growth with P2P CDN
Today, Video streaming represents a large portion of Internet traffic & in 2022, online videos will account for 82% of all consumer internet traffic.
Whether you provide live steams, user generated content or video on demand service, your consumers demand the best viewing experience. They expect consistent high quality video across every device, operating system and player all the time. Poor user experience is no longer tolerated.
CDN, multi CDN & P2P CDN
Therefore, Traditional video CDN has been employed to minimize buffering delays, and long latencies and to improve the website’s overall performance. Yet, it has become a necessity that business who are looking to deliver the best digital content experience implement a multi CDN strategy to meet their geographical expansion, avoid outage, minimize risks and to benefit from specialized features.
Today, as video traffic grows, businesses should take their CDN strategy to the next level. P2P (peer to peer) CDN upgrades your streaming infrastructure to address your business challenge of scalability, costs and quality. P2P CDN does not replace traditional video CDN thus no investments are lost but rather optimize its performance. P2P streaming will enable viewers to consume and share the steaming at the same time. This reduces bandwidth costs and provide faster delivery, and instant scaling that is a must for live streaming and handling viewership strikes.
How can P2P Video Streaming help businesses grow?
- Seamless Integration: Easy setup & fully compatibility with CDN providers, analytics & video players.
- Customized Delivery: Customizing delivery to each viewer device.
- Infinite Growth: A system that grows as your subscribers grows.
- Device Support: Support streaming on all major web & mobile platforms, as well as smart TVs
- Quality Video: Reduce rebuffering & providing higher bitrates and viewing time.
- Cut Costs: Reduce the operating cost of running a multi-million audience infrastructure
- Security & Privacy: All data shared is encrypted & 100% GDPR compliant
So, do businesses really need CDN solutions?
For example, below are 2 Nordic companies who are growing rapidly in terms of viewership & subscribers. They are competing with global streaming services like Netflix.
Viaplay subscribers rise 25% in 2019 & its top priority is to drive long term value.
NRK is competing with global OTT as Norwegians spend more on OTT than any other country in the world & 25% of Norwegians use OTT video every day.
It is a know fact that number of hours allocated to watching traditional TV is dropping & being replaced with online videos. Users access online videos from various devices with focus on mobile & computer. And Online streaming is more common than watching TV among young (15-25) in Nordic countries.
Thus, according to the info above, these two companies are focusing on building a platform that is scalable, supports various devices & video players and delivers quality video content to meet expected growth and fierce competition.
Growth will result in increased viewership & cost along with an increase in end user demand to quality which is provided by their global competitors. Thus, they need to focus on developing new technology & of course employing the right CDN solutions in their platform to meet the above challenges.
The global Video on Demand (VoD) market size is expected to grow from USD 38.9 billion in 2019 to USD 87.1 billion by 2024. Although, choosing the right CDN solution is a complex process and requires the input from various key people (operations, product development, tech director..) in different departments within the same company to evaluate the technology, security, and cost as well. Yet, deploying CDN services is a must to ensure performance growth.
Why should we care about Artificial Intelligence technology
Artificial intelligence (AI) is creating the fourth industrial revolution by shaping every single aspect in the world. AI is taking away jobs, and revolutionizing businesses only to create new human-driven creative opportunities.
The new technology has influenced the way we drive cars, grow vegetables, detect cancer. It can even speak, and recognize emotions in speech. AI technology is disrupting right now all industries including digital marketing.
So what is Artificial Intelligence?
Simply put, Artificial Intelligence (AI) is building machines that are intelligent to think and act in a rational way. Similar to humans at much greater scale and speed.
Within AI, you will come across two terms: Machine Learning & Deep Learning.
Machine learning is a subset of AI that is fed structured data by humans to come up with an algorithm to learn and analyze massive data.
Deep learning is a subset of machine learning, in which no structured data is needed. It relies on various layers of neural networks to digest massive unstructured data. The learning and analyzing process of this data happens independently of human intervention.
The relationship between AI & Digital Marketing
We’ve seen the evolution of marketing in the past years and its transformation into the digital space. Companies shifted their strategies, tools and budget from traditional to digital marketing.
Today, AI is pushing further the digital marketing transformation to a new level and in various aspects.
So if you’re wondering how Artificial Intelligence is Disrupting Digital Marketing.
Here are 6 ways Artificial Intelligence is changing the digital marketing industry that every marketer should know:
1- Automating Content:
In the digital marketing industry, content is king. AI aids marketers in 2 roles: Automating content creation, content curation and delivery.
Content creation using NLG (natural language generation), a process that generates content from data automatically. The marketer will choose the content type, topic, number of words and data to be used. The AI-driven platforms such as NLG then uses an algorithm to produce unique articles. The content produced will simulate human-written content saving company time & money.
For example, Washington Post published more than 850 articles written by Heliograf, its AI-driven robot author.
Content curation is the process of collecting quality published articles and spinning the content while adding your own opinion. Not only did AI help automate the content collection process but also customized it depending on the targeted audience. AI harvests the audience’s social media activities, engagements and interactions on the web. Then it ensures individualized content is delivered to each target audience.
2- Mass Personalisation:
The value of personalisation lies in its ability to greatly influence the behavior of consumers. Prior to AI, marketeres used tools to segment their audience in clusters. Based on location, interests, preference, demographic and other attributes and then create various customized offering to each segment of this audience.
Today, marketers are able to provide each of their million users a personalized experience specific to them. The availability of this technology replaced general audience segmentation into personas. Powered by AI, specifically machine learning, unique offerings to each customer are created based the users digital footprints. The ability of AI to review and analyze a mix of overlapping attributes “finding patterns inside patterns” which humans are not capable of doing. These AI capabilities help companies implement digital marketing campaigns based on micro-segmentation. This technique ensures marketers know what kind of message resonates with their audience and delivering to them exactly their needs.
3- Advertising & Product offering:
In digital marketing, online ads is one of the key channels for lead generation. Platforms that offer ad services such as publishers, and social media websites are competing to offer marketers more targeted advertising. Targeted ads generate higher conversion rates for companies.
For example, suggested products / articles used to appear to users based on their transactional history only. While now, websites are deploying machine learning (ML). ML considers the users behavior history along with their implicit and explicit intent into consideration thus delivering more relevant suggestions.
Bidding is another aspect within online advertising that consumed most of marketers time as its manually handled. Artificial intelligence automated the process leveraging smarter bidding. AI combines user based info (signals) such as device, location, language and other data that can also be collected from third parties. This improves ad performance and campaign outcome while saving marketers time to focus on more valuable campaign aspects like content & layout.
4- User Tracking & Data Analytics:
Another aspect of digital marketing that has been massively transformed with AI and Machine learning. A buyers journey is a funnel that includes various steps. Starting from brand awareness, to showing interest and interacting with a brand to purchasing.
Digital marketing altered the funnel by simplifying purchase, increasing interaction channels, offering comparison and review tools which helped users move faster in the funnel. However, these digital marketing advancements missed a vital aspect which is the ability to track and analyze results. Not only is Artificial Intelligence able to integrate huge data collected from different sources. But also it can analyze the type of content users mostly interact with, the products searched for, and each users preferred marketing channel.
The availability of this filtered, structured and simplified analysis of huge data enabled marketers the ability to create data driven marketing campaigns and make intelligent decisions, reduce testing phase and eliminating speculations.
5- Customer Service & Chatbots:
AI plays an important role in leveraging customer satisfaction in multiple phases. Social listening is the process of monitoring consumer conversations on social media and online about your brand which includes feedback, experiences, reviews… Machine learning has helped brands process huge data. This even includes recognizing images that include your brands logo, and intelligently extract relevant conversations.
AI is also used for voice authentication to verify clients and expedite the support process bypassing security and password process.
Deploying AI chat bot support, powered by deep learning and NLU (Natural Language Understanding). NLU is also part of AI and allows the machine to understand human language, analyzing written sentences or voice and interacting with humans. So the AI driven chat bot interacts with customers providing relevant information. This alone solves repetitive questions and queries which account to more than 30% of the support cases and deliver a seamless, and consistent support experience.
6- Predicting Customer Behavior:
Marketers no longer develop strategies to meet customers needs and wants based on their own understanding solely but rather relying on concrete data and information.
AI, specifically deep learning has enabled marketers not only to analyze but also to predict future customer behaviors accurately. This has become possible due to the availability of massive data.
There’s more users Facebook than the population of the United States, China and Brazil combined. Companies are now able to sort huge detailed data like customer interactions, likes and dislikes to identify various metrics that identifies a user behavior. Then transform these findings into actionable insights to connect with their consumers on a deeper level and predict their future actions. Machine Learning’s ability to provide real-time predictive analysis combined with continuous learning is impacting digital marketing immensely.
Today’s Digital Marketing: AI vs Human or AI with Human
AI, machine learning and deep learning are helping marketers build data-driven digital marketing strategies. While brands can leverage AI to optimize their digital marketing, and streamline online business growth. However, brands must know that marketing is still about humans and the value of human interaction is a key to successful marketing.
Luxury which includes clothing, footwear as well as cosmetics and fragrances has been a successful industry long led by creativity, art, emotions and inspiration. However, data driven marketing is the latest trend as more than 45% of all luxury sales are influenced by digital marketing. So the ultimate question is;
How far should the luxury industry rely on data driven marketing strategy while retaining its brand values.
When trying to understand luxury, it’s sufficient to analyze the French brands to draw broad conclusion on the evolution of this industry. (prior to the impact of protests). Driven by an increase in consumer demand, international growth, online sales, market expansion and tourist growth. France became the top performing country in luxury goods sales with 18.7% year on year growth (FY2017).
According to a report published by Deloitte ‘Global Powers of Luxury Goods 2019‘, 4 French companies are among the top 11 luxurious companies in the world. L’oreal, LVMH (Louis Vuitton, Givenchy…), Kering (Gucci, Yves Saint Laurent…) and Hermès (2017).
Why Luxury marketing needs to be data driven?
Unlike grocery shopping, spending a month’s salary or more on a luxurious item is a big decision that will require considerable time of thinking & research before purchasing.
The consumer ‘buying signals’ that reflect their intent to purchasing is what digital marketing can make use of to help generate more sales. Buying signals are everywhere. From accessing the website and spending time reading product details, to google search for reviews & trends, browsing history, location data, lifestyle interests, in-store visits, and actions on social media. These signals along with the right analysis of data can help brands anticipate the user journeys of successful buyers, and understand customer behavior prior to purchasing.
There are various forms of new channels that brands have been utilizing like influencers, content aggregators, reviews websites. As online shopping grows in the luxury industry, along with these new channels, grows the need for clear data. Data that will explain how did these customers reach to your store or website, and what steps did the customer take prior to purchasing.
Data driven marketing will allow you to reach out to the most profitable customer. Although targeted marketing is more expensive than broad targeting with the hopes of reaching your customer. The return of investment for targeted campaigns is definitely worth the investment.
The number of rich people globally is rising rapidly which means more money can be spent on luxury. According to Capgemini’s World Wealth Report 2018, for the first time in years, the high net worth individual wealth rose to 10.6%.
But luxury consumers are changing. To grow, luxury needs to meet the demands of millennials, those born between 1981 and 1996 are their new customers. These young customers are high earners but not rich yet (HENRY) & form around 75% of Luxury brands customers. The millennial generation are educated, tech savvy, short attention span, & value experiences over things. What makes this segment extremely valuable for luxury brands is that most rich started out as ‘HENRY’. Therefore identifying these long term prospect customers is important to ensure the brands future growth. Millennial luxury shoppers invest a lot of their time and money online, on mobile apps and on social media. Luxury brands should not only listen to what their customers are saying, be present where its customers are, but to also thrive in the digital universe.
Age Breakdown Luxury Buyers: % who say they mainly purchase luxury items
Although Luxury has been very slow to adopt eCommerce and embrace the digital wave. It’s obvious that most brands are making up for the time lost pretty fast. Even well established luxury brands that firmly opposed eCommerce operations and said will never sell online, have all launched their online stores with the exception of Chanel. Not only that but also invested deeply in the digital industry such as eCommerce, social media, and digital marketing. Brands are also partnering with luxury-specific technology tools (augmented reality mirrors, AI-based counterfeit-spotting) and mobile apps along with their traditional in-store business.
The above mentioned digital tools are not separate from the core brand positioning. The online experience should be complementary to that in-store reflecting the brand values. This concern has driven luxury brands to handle their digital activities internally instead of relying on third party websites which they have little control on.
How can Luxury brands be data driven
A successful case would be that of Versace. Their objective was to increase sales by identifying among their current and potential customers, the high end segment. This segment would be more likely to make a “big/high ticket product” (items having high selling prices & profit margins). Their data driven marketing campaigns resulted in a 35% increase in sales, 400% increase in ROI, & 3.3K increase in in-store visits. Below are few tips inspired by this campaign:
First Party Data:
The starting point for any data driven campaign is always using the first-party data. This allows you to leverage the valuable data of your current customers, website visitors, and ad results. Ensure data is stored in a useful format & then identify the most useful metrics.
Analyze transactional & customer data to identify best customers (spending more, purchasing more frequent..), and understand their buying journey. Then used this data & algorithms to create a ‘lookalike modeling‘. A method that allows you to find more people (prospective customers) similar to the existing ideal customers. Both audiences (existing & potential) will share close behavioral characteristics and specific attributes; preferences, interests (more detailed, the better).
Launch targeted campaigns:
Targeted campaigns with an incentive/offer that is based on the LTV (lifetime value of existing customers). This states the expected revenue to be generated over time or what is a customer worth. LTV helps in determining profitability and how far can a company can go when giving special offers/discounts. Note that targeted campaigns are always more expensive than broad campaigns but higher in conversion rate.
Use Geo-fencing to target your in-store visits, competitors or any other location. Once a consumer (app installed & opt-in for location sharing) walks within the geographical fence, a push notification is sent that can even be laser targeted. Otherwise brands can run ads targeting unknown users in this geographical fence that could even be a competitors location, a method that incentives in-store visits.
Luxury brands can easily drive traffic online unlike regular fashion. However driving the right traffic that will lead to potential sales has been the ultimate challenge for luxury brands. Brands should transform visits into experience that fit Luxury of being exclusive, emotional, quality & rare,
Deep Analysis & Improvement
Therefore, it is significant that brands have outcomes that will automatically require a certain ‘metric’ to measure, such as purchases, consumer behavior, channel responsiveness, or campaign ROI. Analysts should present deep data insights to apply campaign enhancement & improvement before investing a higher budget.
Privacy & GDPR
With the rise of privacy regulations worldwide & GDPR, luxury brands must persuade its consumers to share their data. This can be done in exchange for a value such as a special offer and data must be well protected.
In 2025, online sales will account to 18% of the total luxury sales and in the next ten years online sales of luxury goods will triple!McKinsey & Company
No brand is able to withstand the potential growth possibilities. It is expected that luxury brands will pull money out of print and move it to digital next year. The difficulties of undergoing digital transformation should not be underestimated. Powered with customer data & tech, luxury brands will be able to easily embrace online selling and adopt a data driven marketing strategy.
Even when marketers prefer to rely on their experiences rather than research, that is too, the usage of data collected through years of experience.
The future of luxury brands online: Looking to into the leading French Luxury Groups
Kering‘s success through Gucci’s digital strategy helped the brand generate 50% of it’s sales from millennial. 35 year olds and younger, which is a segment that has been a concern for luxury brands. Gucci became the best performing digital luxury brand according L2 Research, a company that specializes in data driven analysis.
In 2017, LVMH launched 24s.com. A multi brand ecommerce platform / marketplace that offers products from over 200 luxury brands & is not limited to LVMH’s owned-brands. The website is successfully growing and providing a new luxury shopping experience similar to that of physical store.
How many of the luxury products purchases take place in a physical store, online from a computer or mobile device:
Apple has finally unveiled t
On Monday, March 9, 2015 Apple CEO Tim Cook revealed the brand-new MacBook, its newest and thinnest MacBook ever which through Apple Online Store, Apple Retail Store and Apple Authorized Resellers.
Apple’s senior vice president of Worldwide Marketing,said: “Apple has reinvented the notebook with the new MacBook, and at just two pounds and 13.1mm, it’s the thinnest and lightest Mac ever. Every component of the MacBook reveals a new innovation. From its fanless design, ultra-thin Retina display and full-size keyboard that’s 34 percent thinner, to its all-new Force Touch trackpad, versatile USB-C port and breakthrough terraced battery design, the new MacBook is the future of the notebook.”
Here’s everything you need to know about the New MacBook 2015: tech specs
The amazing MacBook 2015 screen has a 12in Retina display which is thinner than the previous 11in MacBook Air, and a resolution of 2304×1440 pixels so you can enjoy movies in full HD (1080P) with a measure less than 0.04 inches think.
Keyboard & Trackpad
Force Touch Trackpad is the new trackpad which uses force sensors and a haptic engine which means that a deeper click or a force click on an address can be used to launch the Map app similar to the technology used in the Apple Watch. The settings can be customized to suit your preferences.
Specs & Ports
Apple also introduced the new USB-C port, for data transfer, charging and video out all in just one single connector which means reducing the number of ports on the notebook to just two!
The brand new MacBook is 13.1mm-thin and weighs only 2lbs. Apple has applied miniaturization techniques which means greatly reducing the size of its board components, 67% smaller than the 11in MacBook Air, making the New MacBook’s logic board the most compact logic board.
This is the first fanless Mac with no moving parts or any vents making the new MacBook so thin, light and silent. The processor has a fifth generation Intel Core M processor, with Intel HD Graphics 5300.
The new MacBook comes in three colors: gold, silver and space grey.
Apple applied new battery technologies. The new MacBook has all-day battery life despite the thinner and lighter design. Apple’s battery life estimates are 9 hours of wireless web browsing and up to 10 hours of iTunes movie playback.
Apple’s brand new MacBook is coming April 10th with a price starting at $1299 for the entry-level MacBook which includes 1.1GHz dual-core Intel Core M processor and 256GB of flash storage. Another version is available for $1,599 including 1.2GHz version and 512GB of flash storage available for.
For more information you can visit Apple Online Store.
World famous mobile messaging service WhatsApp has started testing out long-awaited feature. The voice calling feature is beginning to roll out to some users but still isn’t yet available to everyone . WhatsApp calling uses an internet connection to make phone calls instead of a carrier’s network.
WhatsApp hasn’t made an official announcement yet on Friday night pictures and videos appeared on Reddit. According to a Reddit user: “Its requires an invite, a person with the call feature needs to “call” another person to be able to start using the feature.”
Check out images and a video of the new user interface that features voice calling.