MARKETING
How to Craft a Successful Customer-Centric Marketing Strategy
When was the last time a business fully addressed your wants and needs as a customer? For me, it was around the holidays, while searching for the perfect gift to give a friend who is a huge fan of the video game series “The Legend of Zelda.”
My online search for the right gift led me to STL Ocarina, a company that sells ocarinas — the musical wind instruments that have been around for thousands of years and a staple item in the Legend of Zelda series. Clearly, the company knew many of its customers were like me — either fans of the games or shopping for fans of the games — so it made finding Zelda-themed ocarinas on its website simple.
Just hover over the tab that says “Our Ocarinas,” and the first category to pop up under the tab says “For Legend of Zelda Fans.” From there, I was taken to a page displaying their Zelda-themed ocarinas and the option to include a songbook of the game’s music.
After purchasing the ocarina and songbook, I remembered my friend doesn’t know how to play the ocarina and the songbook may not have tips for beginners. Luckily, STL Ocarina’s confirmation email included a YouTube instructional video and links to online resources that will help him get started.
STL Ocarina serves as a great example of what customer-centric marketing looks like. During the few minutes I was on the company’s website, every touchpoint of my buyer journey was valuable, from landing on the website to browsing for the right gift to making a purchase.
Months later, I’m still recommending the website to friends who want Legend of Zelda merchandise or are simply looking for a new hobby to pick up.
In order for your company to turn customers into advocates, the same way I advocate for STL Ocarina, it’s important to add value to every part of the customer’s journey and to address their needs. A way to accomplish this is to create a solid customer-centric marketing strategy.
What is customer-centric marketing?
Customer-centric marketing is the practice of prioritizing the customers’ needs and interests in every interaction with your business, such as delivery, promotion, advertising, and more.
Customer-centric marketing ensures your customers are satisfied with their products or service enough to remain loyal and to tell others to become customers as well. To implement customer-centric marketing for your business, first ask yourself:
- How are customers connecting with your business? Is it via social media, the website, email, phone, or something else?
- Is there value being offered in each of these channels?
- What can be done to improve the customer’s experience at every touchpoint?
Customer-Centric Marketing Examples
Many companies have taken a customer-centric approach to their marketing strategy and have achieved great success. These companies include:
1. Starbucks
One of the most well-known successful customer-centric marketing strategies comes from Starbucks with its Starbucks Reward Loyalty Program. This program offers a variety of perks, including exclusive discounts, free refills on brewed coffee, and free drinks for customers on their birthday. However, one of the program’s standout services is that it gives customers the ability to order and pay ahead of arriving at the restaurant.
This means customers who are pressed for time can schedule their items for pickup, thus avoiding long lines and inconsistent wait times.
According to Forbes, Starbucks attributed 40% of its total sales in 2019 to its rewards program. Forbes also reported users of the Loyalty Program’s app were 5.6 times more likely to visit a Starbucks every day.
2. Nordstrom
Luxury department store chain Nordstrom sought to improve its service and product discovery by creating a more streamlined and personalized shopping experience. The company achieved this by implementing its Nordstrom Analytical Platform. The platform consists of AI models that handle tasks such as inventory control and fulfillment, and routes orders to the nearest store.
The company also created fashion maps in which the AI uses natural language conversations, combined with images and information gathered from social media to predict customer preferences. Thanks to AI, the Nordstrom Analytical Platform offers personalized products and selections for customers via its Looks feature, storyboards, and more.
3. Bacardi
Back in 2019, Bacardi wanted to get potential customers in the UK and Germany excited about the brand’s new single-malt whiskies. Understanding drinkers in that demographic often have a taste for luxury, Bacardi teamed up with Amazon to create a live whisky tasting customers can enjoy from the comfort of their home.
The spirits company created its Single Malt Discovery Collection, which was made up of three whiskies exclusively for tasting. Customers in the UK and Germany could purchase the collection from Amazon and, in turn, receive access to the live streamed tasting. During the live stream, customers were able to ask questions to the host via a custom landing page on Amazon. More than 500 questions were asked and Bacardi saw an increase in sales on Amazon.
Tips for Creating a Strong Customer Centric Marketing Strategy
Crafting a customer-centric marketing strategy for the first time can be daunting, but it doesn’t have to be. Here’s how to get started:
1. Get Leadership Involved
To help ensure the success of any new strategy, it’s important to get the support and enthusiasm of senior leadership. If senior leaders prioritize customers at every channel and interaction, it will encourage others in the organization to do the same. You can get leadership on board by hosting regularly scheduled meetings to educate leadership on customer-centric marketing, discuss upcoming campaigns, and brainstorm creative ways to promote the brand.
2. Learn About Your Customers
Gain a better understanding of your customers by doing some of the following:
- Conduct surveys asking customers about the quality of the service/product, the company’s strong points, where it can improve, and how they most interact with the brand.
- Have one-on-one interviews with current and former customers asking about their experience with the company, why they choose to remain loyal, or why they left. You can also ask former customers what changes would have made them stay.
- Use data gathered from analytics tools to track customer behavior.
- Monitor social media and/or enable Google Alerts so that you can see what people are saying about your business online. For example, if customers often take to Twitter to complain about how difficult it is to navigate your website, that could be a sign to update the site. You can also gauge the type of content your customers like to see on social media. Perhaps on TikTok you notice followers enjoy behind-the-scenes videos, while customers on Twitter enjoy having their questions answered or reading important announcements.
- Read through customer emails and monitor calls to see how customers are interacting with your company.
3. Add Value to Every Customer Interaction
Customers, or potential customers, can be at any stage of their journey with your company, which is why it’s important to create appeal at every touchpoint. Whether they interact with your organization via social media, are calling to get help with a problem, or they are at the end stage of purchasing a product/service, every part of the buyer’s cycle should spark engagement and joy.
Nordstrom offering personalized products/services based on the customer’s behavior, and Starbucks creating a system that allows customers to get their needs met quickly and efficiently are great examples of adding value at different customer interactions. Same can be said for Bacardi’s virtual, at-home whisky tasting. The one thing that all of these actions have in common is that they make the customer experience fun, engaging, and simple.
4. The Value of Customer-Centric Marketing
As technology continues to change the way people interact with brands and businesses, the customer journey has become less linear. To keep up with the ever-evolving journey, companies must adopt a customer centric marketing approach to build stronger relationships that will turn your customers into some of its strongest advocates.
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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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