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.
It is an important time for advertising: never has it been accessible to so many people. There has never been less control over what is distributed generally. To think back at a time when a publisher decided whether to accept all of someone’s budget based on whether their readers were actually engaging with their print ad is ridiculous… But that is exactly how things work today digitally. With the enforcement of GDPR legislation, advertisers have even less control.
A lot of the consumers are now more vocal than ever about not wanting to be exposed to marketing. Ads are being ignored. The first banner ad came out 25 years ago which in internet years is around 100 years for every human year (!). Perhaps what was at one time disinterest has quickly turned into displeasure and to be honest most advertising is just making it worse!
Native advertising presents the consumer with an alternative that is creative, non intrusive and that actually makes sense to their journeys as customers.
I heard someone say the other day, ”Sometimes, I don’t even know what it is I need but I log on to my instagram account or read an article and the “right” ads come up with things that I wanted to get anyway!”.
This is because native ads respect peoples’ boundaries and look nice… This may seem like a strange thing to say but it is also equally as important for the ads not to give you a sore eye!
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).
Vertis Media is hosting a Golden Ticket give-away for MAD//Fest London 2019, the most exciting adtech, martech & tech disruption festival in the world.
MAD//Fest opens its doors on the 13th November for two days of inspiring content with the biggest brands and break-out start-ups. If you’re a marketer, advertiser or disrupter, join us to meet, learn and seek out new ideas, connections and partnerships.
VertisMedia, the European adtech startup are proud sponsors of MAD//Fest, committed to promoting diversity and opportunities for people from all backgrounds to enter the media industry and switch brands, agencies, publishers and tech firms.
The festival line-up includes some of the most influential senior marketers in the UK and:
2,000 + brands
150 + speakers from the world’s top brands, agencies + platforms
Pub of the future, interactive cocktail bar + MAD//Senses Room
100 exhibitors across three curated halls.
Lots + lots of networking, drinks, parties + unconventional fun in an old East End brewery.
Register here for a chance to join the people carving out the future of marketing, advertising and technology.
1) Are you aligned with the native user’s mindset?
Users of native advertising are a little bit different: when they click they are after new content or exploring a website because they’re ready to discover something new. That’s why, successful content in native advertising often explores new concepts, entertains, or is informative.
2) Are you using enough pictures and videos?
These are the only type of content that look like they have a future in native.
Consumers are becoming increasingly visual and native ads have the ability to cater to that perfectly.
3) Are you segmenting your audience?
This allows the ads to go to the right place and at the right time! It qualifies consumers according to what they are actually interested in. Know your audience and optimise the results that data gives you. That way when you narrow down the focus you are pinpointing the right segments.
4) Have you aligned your headline and keywords…
…To the content in the ad? In this way you are sure fit in seamlessly with the context you are placed in. Like everything advertising- and content-related, performance will depend on your content and your audience.
5) How are you targeting?
Geo-location is the way forward. Local is key when it comes to certain types of business where geographical relevance is everything when it comes to the success of an advert.
Display advertising is a type of advertising that uses text, animations, photos or videos to target users with a commercial message.
There are 3 main types of display advertising campaigns:
Retargeting, also known as behavioural marketing relies on custom segmentations in order to deliver relevant ads to your audiences.
Acquisition ad campaigns can be very expensive and not give great results: a lot of banner ads are competing for the same space with highly retargeted ads that have a stronger chance of converting.
Brand awareness focuses on reach as opposed to direct conversions. The aim here is to reach as many people as possible and make sure they get interested in the brand/product advertised. These campaigns need to run for longer if they are going to be effective
Relevant ads for everyone are a double winner: they brings pros to both the consumers and the brand.
Distributing a relevant piece of information to the right person at the right time means the user is more likely to discover that they are interested in something they perhaps hadn’t thought of before- it widens their horizons. At the same time the brand has a higher chance of making a sale.
What is contextual advertising? Contextual advertising (also known as contextual marketing) is a form of targeted advertising, generally appearing on websites and in apps.
Different data for different brands Various elements can be considered for contextual advertising. Different brands will be interested in different data: for instance, location could make all the difference for a hotel or restaurant. • Language • Location • Weather • Time of day • Device • Preferred channel • Past behaviour • Purchase history
Even holding the above information, brands cannot be as accurate as they would like to be in how they organise their marketing strategy. In fact, it doesn’t help that users carry out a lot of their research outside of the brand’s area of impact. So, though traditional marketing campaigns are still vitally important, the other aspects of this journey give brands an opportunity to continue to have a powerful input.
What are the obstacles to contextual marketing? 1) The first obstacle to employing targeted ads is a lack of usable data. While we live in an age of big data, problems exist in utilising it in order to find out relevant information. 2) Technology: Connecting different data sets is partly a problem with existing technology.
Solution: “acting with context” By employing information regarding sales, CRM data, web data, reviews & feedback, and social data, you can build up a picture that will carry your campaign forward for any brand. For example, if you are going to target a particular profession on LinkedIn, your “profile” for that sector can provide information on how best to connect with that segment.
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.