MARKETING
6 Internet of Things Marketing Examples You Should Know About
IoT is everywhere nowadays – from the smart devices in our homes to the QR codes we see in commercials nowadays.
However, there is still so much untouched terrain with IoT marketing. Here are six IoT marketing examples to inspire you to investigate all the ways you can leverage this technology in your strategy.
How does IoT work in marketing?
The Internet of Things is the connection of everyday products like cars, alarm clocks, and lights to computing devices via the internet. It allows them to exchange data with each other, providing marketers with more context about their customers’ product usage.
This, in turn, enables marketers to deliver more relevant messages and leads to greater customer engagement.
For example, if you run out of milk or it spoils, a refrigerator connected to the internet could recognize your need and display a message on its screen or on your phone about the best milk deals in town. You could even order a carton through one of those devices if the refrigerator company partnered with a grocery store.
Since IoT technology connects the internet with objects that are ubiquitous in our daily lives, marketers in almost every industry will be able to engage consumers throughout every phase of the customer journey.
Internet of Things Marketing Examples
1. Coinbase’s Superbowl Ad
Every year, brands spend millions of dollars for a 15- to 60-second ad slot during the Superbowl.
When Coinbase, a cryptocurrency exchange platform, shared its commercial during the 2022 Superbowl, some viewers were confused while others were mesmerized.
Their one-minute ad featured a QR code bouncing around a black screen, reminescent of the “DVD” logo on older TVs – with eerie background music.
When viewers used placed their smartphone’s camera to the QR code, they were directed to the platform’s websites where they were offered $15 for signing up and downloading the app.
QR codes are considered gateways to IoT devices, and allow brands to find creative but affordable ways to market their products and services.
The commercial was so successful that the website crashed.
2. Heineken’s The Closer
In June 2022, beer company Heineken launched a campaign inspired by employees working from home following the pandemic and struggling to disconnect from work.
The company announced that on June 8, they would hold a giveaway sending consumers a Bluetooth-connected bottle opener that would shut down work apps when used.
Using IoT technology, the “Closer” would use an accelerometer to detect the opening of the bottle, communicate with the user’s device via Bluetooth, and shut down selected work apps.
In a press release, the brand’s global head of brand, Bram Westenbrink, shared that this device was created to address work-life imbalance.
“With the once-rigid boundaries between work and personal time rapidly deteriorating following the COVID-19 pandemic, we want to spark a much-needed conversation about the importance of resisting the societal pressures to be in a constant state of busy work and encourage workers around the world to reprioritize social and leisure time with the people who matter most.”
The giveaway only lasted one day and the second half of this campaign involved an online “Calendar Closer,” in which users schedule a meeting with up to three friends to receive $5 to spend on beer and an entry in another giveaway.
This multi-layered campaign shows just how creative brands can get in IoT marketing.
3. Walgreens’ IoT Ad Displays
In 2019, Walgreens started testing digital cooler doors that would target store goers with ads and partnered with brands like MillerCoors and Nestlé that were willing to test their products.
Here’s how it worked: Sensors and cameras located inside of the coolers would pair with face-detection technology to determine what to promote to shoppers, based on age, gender, weather, and more.
For instance, a young adult could be shown sodas while an older person could be shown beer. For beer company MillerCoors, this test seemed promising.
In a statement, a senior marketing manager at MillerCoors said that one of the biggest barriers they face is that shoppers don’t know they can purchase beers in drugstores. Having targeted ads like this could dramatically increase sales and provide more insight into consumer behavior.
This marketing strategy offered a unique opportunity to market to consumers right at the point of purchase, which is unheard of in an offline environment.
4. Diageo
In 2015, Diageo, a leader in the beverage alcohol industry and in IoT marketing, announced the launch of a smart bottle.
Here’s how it works: With every purchase of a Johnnie Walker Blue Label bottle, users would receive personalized messages to consumers who read the printed sensor tags using their smartphones.
The brand said the goal was to enhance the consumer experience and make it easy to send targeted and timely marketing messages.
This is a fantastic example of how to elevate the relationship with a consumer after they’ve made the purchase. Often, brands focus their resources so much on gaining customers that they don’t consider post-purchase marketing strategies.
5. Allen Solly
It’s not unusual for brands to ask customers to tweet something, but the request is not often met with much excitement or vigor unless the customer feels he’s receiving something in return.
Using IoT, connecting social media hashtags and product giveaways might be easier than ever – and a lot more fun.
Allen Solly, a clothing brand, created an interactive shirt billboard in Bangalore, India.
As users tweeted #RainingSolly, the computer linked to the billboard would choose a solenoid (the coil wound behind a shirt) to push a shirt off the billboard for a random consumer to win.
Allen Solly found a unique way to encourage consumers to share their brand on social media, while enabling people to engage as a community in person, as well.
6. Nivea
Print advertisements and IoT technology probably feel like two different ends of the marketing spectrum – the past, and the future. But they might not be.
Nivea Sun Kids created a campaign that combines both, by offering bracelet strips in a Brazil magazine print advertisement that parents could peel off and put on their children’s wrists.
The bracelets had built-in locators, which, when paired with Nivea’s mobile app, allowed parents to set a maximum distance their children could wander. If the child wandered beyond the maximum distance, the app notified the parent. The radar also showed if the child was moving closer or further away.
Nivea’s creative campaign likely encouraged word-of-mouth advertising between parents in Brazil, and it also showcased the brand as being thoughtful and innovative.
We’ve only scratched the surface when it comes to IoT marketing. While some tactics require more resources than others, there are a lot of affordable and creative methods brands can use to incorporate IoT into their marketing strategy.
Editor’s Note: This post was originally published in July 2018 and has been updated for comprehensiveness.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
Introduction
With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.
Types of YouTube Ads
Video Ads
- Description: These play before, during, or after a YouTube video on computers or mobile devices.
- Types:
- In-stream ads: Can be skippable or non-skippable.
- Bumper ads: Non-skippable, short ads that play before, during, or after a video.
Display Ads
- Description: These appear in different spots on YouTube and usually use text or static images.
- Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).
Companion Banners
- Description: Appears to the right of the YouTube player on desktop.
- Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.
In-feed Ads
- Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.
Outstream Ads
- Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.
Masthead Ads
- Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.
YouTube Ad Specs by Type
Skippable In-stream Video Ads
- Placement: Before, during, or after a YouTube video.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Action: 15-20 seconds
Non-skippable In-stream Video Ads
- Description: Must be watched completely before the main video.
- Length: 15 seconds (or 20 seconds in certain markets).
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
Bumper Ads
- Length: Maximum 6 seconds.
- File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
- Resolution:
- Horizontal: 640 x 360px
- Vertical: 480 x 360px
In-feed Ads
- Description: Show alongside YouTube content, like search results or the Home feed.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Headline/Description:
- Headline: Up to 2 lines, 40 characters per line
- Description: Up to 2 lines, 35 characters per line
Display Ads
- Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
- Image Size: 300×60 pixels.
- File Type: GIF, JPG, PNG.
- File Size: Max 150KB.
- Max Animation Length: 30 seconds.
Outstream Ads
- Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
- Logo Specs:
- Square: 1:1 (200 x 200px).
- File Type: JPG, GIF, PNG.
- Max Size: 200KB.
Masthead Ads
- Description: High-visibility ads at the top of the YouTube homepage.
- Resolution: 1920 x 1080 or higher.
- File Type: JPG or PNG (without transparency).
Conclusion
YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
A deeper dive into data, personalization and Copilots
Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.
To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.
Dig deeper: Salesforce piles on the Einstein Copilots
Salesforce’s evolving architecture
It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?
“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”
Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”
That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.
“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.
Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”
Let’s learn more about Einstein Copilot
“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.
For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”
Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”
It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”
What’s new about Einstein Personalization
Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?
“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”
Finally, trust
One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.
“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”
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