Classified Display Advertisement is a method of advertising that is found in newspaper online and any form of online advertising. These periodicals may be sold or distributed for free and are very short.
Classified advertisements mostly placed by private individuals with single items they wish to sell or buy. Free classified advertisements buy and sell items, cars, properties and find or offer jobs publications printing news or other information after have sections of classified advertisements there are also publications which contain only advertisements.
An increasing number of sites and companies have started providing classified marketplaces online for the niche market services. Sometimes these specialized ads provide more targeted search capabilities than general search engines.
Display Advertisement is a type of advertising that typically contains text, logos, photographs or other images, location maps, and similar items. In periodicals, display advertising can appear either on the same page as or on the page next to the general editorial content. Whereas, classified advertising generally appears in a different section, which was traditionally only used for text.
Display advertisements are not required to contain images, audio or video. Textual advertisements are also used where text can be more efficient, for example: messages of a commercial nature sent to mobile device users, or email. One common example of display advertising are billboards. Posters or fliers are examples of display advertising.
Vertis Media have been using weather-based advertising for a while now. This involves targeting consumers based on the local weather (past, current, or future).
This means that ads are delivered based on the weather conditions that the user is experiencing. It makes perfect sense, doesn’t it? For example, adverts for particular beachwear could be presented to people during a heatwave, or antihistamines could be promoted to audiences located in areas where there is a high pollen count. An efficient way of doing this is through a weather targeting platforms, which enables users to trigger ads and automate bid adjustments dependent on real-time weather news.
In a world where we are ever more in control of our every day, it is strange to think that weather has a firm grip on nearly all aspects of the consumer purchase experience today.
Starting from what we eat, drink and an array of other activities that are fundamental to us as humans are all influenced by the fluctuations that weather throws at us.
An understanding of this relationship can be extremely fruitful for all parties. Data relating to weather can be used to advertise products at the most profitable time and in the most impactful way.
We broken it down here: this is how weather influences consumers in three different ways.
Purchase method: weather affects how people make purchases. For instance, during a hot day, physical shops often enjoy more footfall, whereas during colder periods of the year, traffic to online portals is likely to increase.
Mood: The second way in which weather influences consumer behaviour is through its influence on mood. Sunlight, in particular, can have a huge impact on a consumer’s mind frame and by consequently the the amount they choose to spend.
Product choice: Weather drives product demand. More pharmaceutical products will most likely be bought on days where the temperatures are at a particular level. Colder temperatures will determine a higher spending on soups, porridge and lip care products for instance.
Advertising is becoming increasingly personalised but also automated, immersive and experiential… All this is, of course, trackable as incredible technology is helping advertisers go where advertisers have never been before.
1. For the first time ever, 2019 sees digital accounting for about half of the global ad market (eMarketer).
2. The growing fanbase for Voice. According to Juniper Research, 2.5 billion voice assistants were in use at the end of 2018, and that number is expected to more than triple by 2023 (Source: Adobe Digital Insights).
3. Interesting fact: 39% of people who heard a voice ad later went on to purchase the product advertised (Adobe Digital Insights).
4. The future is programmatic: by 2021, 88%, or $81 billion, of all U.S. digital display ad dollars will transact programmatically (eMarketer).
5. 50% of Generation Z and 42% of Millennials identified social media as the most relevant advertising channel (Adobe Digital Insights).
Machine learning systems are made up of algorithms that are intelligent enough to comprehend data in a way that leads to a “diagnosis”, prediction and organisation.
The more data they are exposed to the more they are able to improve. They can also teach themselves to become smarter over time as they are increasingly exposed to data.
Machine learning allows us to “imitate” the mental process of the buyer “optimising” the choices just like a normal buyer would. This system has the ability to learn over time and generate more accurate results applying its “knowledge” to different campaigns, making those associations that can be challenging for the human brain to pick up on its own.
Machine learning is now everywhere when it comes to digital advertising and is being applied to different aspects of it:
Data measurement (What is Tom’s pattern of algorithms?)
Prediction of device association (Based on IP info is that Tom’s ipad AND iphone?)
Intent prediction (The likelihood that Tom will buy those new shoes in the next month or so)
Response prediction on an ad impression level (Will Tom click on the ad, or view the whole video?)
Fraud detection (Is Tom real?)
Audience insights (Can I extract some of Tom’s behavioural patterns for instance to inform creative design?)
The next steps for machine learning Machine learning will only improve as the years go by. As technology advances, computers will be able to make more adept correlations, and as we move into an ever more mobile world, advertisers need to rely more and more on the multiple platforms in order to deliver their message.
Personalisation, in the form of digital voice assistants, is considered the future of contextual advertising.
These forms of “communication” allow users to search for things they are interested in with their voice, without consulting a screen as they would have done in the past. As AI, artificial intelligence, becomes increasingly accessible to consumers technology seeks to become a more integral part of our lives and not a “separate” entity that we physically consult. This switch to less device heavy marketing will constitute a monumental shift in advertising. AI is now storing incredible amounts of data that is being integrated more and more with consumer technology, especially voice assistants. The information that has been accumulated for years is now being utilised in the consumer’s present day.
Contextualisation is already built on the premise that proposing ads that are relevant are more welcome and unobtrusive, which means that on any given platform you will most likely only see what is relevant to you as a consumer. So personalisation must follow this example in order to create the story telling environment that is so crucial in order to generate respect for a brand. No one wants to see an add for their favourite shoe brand, however loved (!), when they are viewing a page on a piece of news that is communicating the latest on a natural disaster, for instance.
Personalisation must go hand in hand with contextualisation, in this sense, in order to be credible and trustworthy. Knowing when and where is appropriate to provide the customer with knowledge about those new shoes is key to the ad’s success.
“When you keep seeing adverts on the latest BMW but can’t drive, it has no relevance and as a consumer it’s a waste of time that can be disruptive” says Co-founder of Vertis Media, Laura Cioffi.
Social media, dynamic and in constant flux, has become an increasingly crucial part of digital communications strategy.
2019 has seen a 9% growth of social media users compared to last year, bringing the figures to 3.48 billion worldwide (source).
However, social media engagement is in decline even though these networks are displaying more business ads than ever before. Why? Because users are ignoring ads that “interrupt” their social media “journey”. So, while the impact that social media has may be decreasing the number of users is increasing. In that case, what is social media being used for now?
Customers, in fact, are still depending on social platforms to interact with businesses and gather “knowledge”. So, based on this information, how about reaching those customers in a way that is really effective?
With this in mind, it is time to reach customers across social landscapes in different ways: by making sure that the content distributed is contextual. In this landscape of ever-growing decline in levels of interest it’s time to reclaim consumer interest with relevance.
Vertis Media does just this by engaging with customers with high quality information of what represents their consumer journey.
In contextual advertising the ads themselves occur based on the identity of the user and the content displayed and…it’s on the up, as users want the least level of interruption during their time browsing.
Read on if you are interested in know our top 10 facts and trends about contextual advertising.
1.Advances in Matching up relevant data to customers- AI in advertising The algorithms used are under constant development in order to improve how accurately ads match the user’s preferences. These past few years have seen a huge leap in targeted advertising, where the message is made to “adapt” to the viewer. The quest for advertisers, for a long time now, has been to make sure that the information they are putting out there is really relevant. Artificial intelligence is a way of doing this: it gets rid of the detective work in targeted advertising. With the ability to dip into a pool of relevant information regarding its users, advertisers can make sure that “useless” information, that can go against a brand’s positioning, gets stopped in its tracks. This means two very important things for Vertis Media‘s dedication to storytelling: relevance and cost effectiveness.
2.Content continues to reign When engaging with a brand, users have come to expect a wealth of information on more fronts: videos, social media posts, blogs and other types of authentic content. Everyone has caught on to this “trend” which means that in order to stand out, content has had to be more and more interesting. AI can contribute to building a better content strategy. By “improving” the target audiences, businesses can more effectively narrow down the focus of their stories, blog posts, videos and other content pieces to engage their users more effectively.
3.GDPR The “right to be forgotten” that GDPR now implies means that businesses can no longer collect information about people without their consent. Explicit consent. Personalised data is essentially the heart of a targeted ad campaign, so what to do? The correct answer is contextual advertising! How? By finding out the characteristics of a target audience based on the web pages visited. General data about the interests of visitors to that page provides the context needed of how to make information attractive to those users.
4.Video, video & more video Video is becoming the most important advertising channel and this is set to rise in the future. And what better way to involve audiences than to enable them to participate in creating those videos. The creativity of recent generations could take brands far by getting them on board with the creative process of sharing information.
5.Smart TVs As consumers are moving away from linear TV and toward a type of smart TV viewing, advertisers will also, aligning themselves with the new on demand viewing experiences.
6.“Voice” 2019 is likely to see brands that will allow for organic use of the devices, with ads that direct consumers to specific products or services. To reach audiences, brands are using new and innovative ways to get the message across.
7.Personalisation & Contextual Advertising Ways are being found to ensure the messages displayed to the users are “tailormade”. Ads in the future will also be able to gather the info necessary to provide the user with options that are relevant through personalisation.
8.“Billboard targeting” & Contextual Advertising Businesses are planning to give their billboards “eyes” that can scan peoples’ faces who are passing by. The software will be able to pick up on the number of people who go past and the length of time they looked at it. For the past few years, Google has been testing programmatic ad technology, normally in use for the web, for billboards. Google’s access to extensive information on mobile location data means it can target digital billboards in ways that competitors like Facebook can’t.
9.Customer participation & Contextual Advertising User generated media will be used through audience participation. Companies will aim to gain more information from their users in order to involve them. In this way, consumers will be interested in those messages that are more relevant to them.
10.Mobile Augmented Reality (AR) Mobile AR saw a leap from 100 million to 250 million users. A BRP report showed that 48% of consumers were more likely to buy products from retailers that were also providers of AR experiences.
Designed to understand consumer preferences and deliver relevant customer experiences, in today’s world, AI (artificial intelligence) influences many aspects of our everyday in the form of smart devices, chatbots, and self-driving cars, for instance.
AI has been a hot topic for a while now, especially when it comes to digital marketing. Why? Because when it comes to improving customer experiences and saving time & money, AI is your technology!
What is Artificial Intelligence? AI enables machines to “think” about, respond to, and perform tasks in the way that humans would. It also helps machines learn from experience and adjust to new input.
Why is Artificial Intelligence becoming so popular?
More work efficiency- lower margin for errors
It performs an analysis for high volumes of data without overseeing the most important insights.
It is a valuable addition to the capabilities of devices though its algorithms: GPS trackers, voice assistants, and home automation systems are just a few examples.
Its constant adaption to new input through progressive learning algorithms.
AI is revolutionizing industries with its astounding ability to adapt and analyse data- exceptionally useful for digital marketing. Let’s take a look at how.
How AI is impacting the landscape of Digital Marketing? Because of the way AI is able to identify marketing trends and analyse data, the world of digital marketing, in particular is able to save money and time through AI:
It helps understand audiences: AI can use the way it analyses data to predict what users are most likely to buy.
It improves user experience: AI data can help you give your audience what they actually need.
A more impactful type of marketing: AI helps to create a more effective marketing strategy for your company, because of the way it handles data.
It can increase productivity: AI algorithms can increase productivity and this will save your budget and eliminate time wastage.
Artificial intelligence really is a technology that can add value to your brand. Using AI digital marketing strategies will help brands deliver improved customer experience and do more effective marketing. It will also ensure faster problem-solving for consumers.
Native advertising: the non-intrusive way of connecting with your ideal audience.
What is Native Advertising? To explain what Native Advertising is let’s start off with a couple of contrasting examples: imagine that you are browsing the web, having a look at some of the websites you normally like to view and suddenly coming out at you are advertising banners left, right, and centre!
So, you change websites and start to read a really great blog post and once you’re done the site itself provides a link to related content made by a different brand. Which one do you prefer? The last example? Welcome to native advertising! The non-intrusive way of connecting with your ideal audience.
Native Advertising- how do you recognise it?
Content advertising seamlessly integrates online advertising into webpages by using relevant content as support.
Native advertising’s success is directly proportional to the utility and relevance of its content. It should “blend in” with the rest of the articles that are there. Content like this, increases the likelihood that your readers will recognise and remember your brand.
In order to engage, offer content tells the story of where your customer can journey to next. It’s all about gaining their attention with valuable information that is so valuable they will want to share it.
Take a look at this example of a native advertising campaign we developed.
Why is Native Advertising great? Unlike other more traditional formats such as banners or pop-ups which are disruptive, native advertising has the potential to attract more attention from the readers. Why? Because native advertising retains the look and feel of the digital content to promote a certain content or product. Since it contains information which is useful and productive to the users, it is more likely to be shared on social media, enabling the information to reach as many potential clients as possible.
As Marco Piscitelli, co-founder of Vertis Media states: “Native Advertising offers top quality information to the users, which means we are all winners: the targeted audiences and the advertisers”.
Advertising on social media appears to offer more control over what is said about a brand but is actually giving less power over content positioning.
Facebook is leading the way when it comes to paid social media at approximately 2.23 billion monthly active users (source: 2018 Social Media Marketing Industry Report : Social Media Examiner). Since Mark Zuckerberg announced Facebook’s shift from branded content prioritizing user’s posts, marketers are in agreement that their reach has dropped noticeably. People are now also willing to invest in other platforms, such as Instagram the second most used social media platform, to see what works in terms of engagement.
Paid social is continuing to grow on all platforms. As more marketers realize the importance of meeting customers where they are, they’ll turn to smaller platforms to reach those core audiences.
The shifting dynamics of social media marketing makes it especially challenging to understand which steps to take towards success, but the elevated number of users and levels of activity make it one that cannot be ignored.
It’s undeniable that paid advertising on platforms such as Facebook or Instagram can be effective as part of a wider media campaign. But if what you are aiming for is to actually get results in how a brand is perceived, what you need is a native campaign strategy. With banner blindness on the up the move to a type of advertising that is able to tell a larger story which features a brand contextually is the way forward. In fact, advertising on social media appears to offer more control over what is said about a brand but is actually giving less power over content positioning. When and where an advert appears is just as important as what appears.
If the only time your advert comes up is on social media then your targeted user’s mindset is probably not tuned in to what your goals are at those moments in time. The reason they are on social media is probably to check out what their friends are doing or look at cute dog pics. If, on the other hand, they are online already engaging in content that has links and shares relevance with your brand then it will be more effective because they will be of more interest at that moment in time- they will have the right mindset to embrace and welcome the information you are providing. See how Vertis Media can help with your campaigns.