MARKETING
Making Shoppable Posts Work for Your Business
You’re a business owner who believes in their products and that the money and time put into them is well-spent; the long hours and countless courses have paid off and made you a master of your craft. Your time, however, is valuable, and it should be spent on things other than figuring out how to maximize your brand’s online presence.
You have products that outshine the competition and are what your potential customers are after. So, why not show them off and incentivize people to buy them on social media? After all, you’re not interfering with anyone’s user experience, you just appear in their feeds.
In this article, we’ll talk about what shoppable posts are and how you can get started with them, as well as how to target audiences with effective posts that connect your brand with customers on a deeper level by encouraging product testimonials.
What are shoppable posts and how do they work?
Listing products on your social posts as shoppable posts is a trending (but successful) way to encourage faster transactions from customers who will want to buy from you again. You can use platforms like Instagram, which already offer businesses plenty of opportunities to tell stories about brand identity, to let people buy your incredible products directly from you. Shoppable posts help potential customers avoid spending lots of time on research by getting a direct link to buy your product as well as a description about it that shows off your passion and product expertise.
At the time of this article’s writing, you can currently use Instagram as well as Pinterest to keep people from getting distracted or frustrated with their search results before they buy your product. Rather than your website, your Instagram or Pinterest account becomes the place customers go to make their purchases, which gets rid of the additional step of driving customers to your website from your social media. You can go to a brand profile on Instagram and tap ‘View Shop’ or tap the tags you see in feed posts to find and use shoppable posts.
Getting started with shoppable posts
Before you settle on using shoppable posts, you may want to ask yourself if you still want people checking out your website. If you also sell your products on Amazon or are using an Amazon webstore, an Amazon PPC agency can encourage people who may not have yet seen your products in their social feeds to check out your online store. Many agencies worth working with will also analyze things like PPC sales, CPC, and search frequency rank to give you a wider picture of how your business is doing in the marketplace.
Once you’ve figured out how you think shoppable posts could work for you, you’ll want to set yourself up with a business account. If you’re in the Instagram app, you can make the switch through your account settings. Remember to use Instagram’s latest version, too. Now all you need is approval to sell your physical product, which can take between 1 day to 2 weeks on average.
How to connect with the audiences you care about
The sky’s pretty much the limit when it comes to making your Instagram content shoppable, so if you want to target specific audiences you’re interested in, you’ll want to think about the type of content you want to make shoppable. There are plenty of ways to start researching your target audience if you need some help figuring out what products they’re looking for and where they get their information.
Attract knowledgeable people with knowledge of your own
One of the best ways to establish brand loyalty and trust among your target audience is by adding some personalization. Instagram lets shoppable accounts use live broadcasts to set up times to chat directly with people in a relaxed environment that encourages questions.
Live broadcasts give you the chance to take a deeper dive into your products and their backgrounds, which is helpful if you want to draw certain customers in with your expertise and experience. You can also tag your products during a live broadcast so that they appear at the bottom of your viewers’ screens.
Follow the data
Using shoppable posts gives you the ability to see data coming from whichever platform you posted on. If you have shoppable posts on Instagram, for instance, you can compare their data with data coming from your organic posts. If you notice that your shoppable post’s reach and engagement are lower or higher than that of your organic posts, you can fine-tune the description and photo it’s using to relate more directly to a target audience you have in mind.
Gain exposure with Instagram shop
You can take advantage of the fact that more people are hopping on Instagram to find new products they’re into by using Instagram’s shopping feature to gain more audience exposure. So long as your brand is using Instagram Shop, it’ll also get featured on the shop’s ‘explore’ tab, making it easier for you to gain exposure from people who may be interested in the products and services you’re offering.
Gear your posts toward people in browsing mode
When you open apps like Instagram or TikTok, you’re probably feeling relaxed and maybe even receptive to buying something that looks neat. By remembering that nearly half of the people using Instagram buy something on the platform every week and often enjoy being advertised to, you can generate more ideas for targeting people in “browsing mode”.
Will shoppable posts boost my brand?
Shoppable posts do a few things that get your online brand in front of more people who probably care about your products. For one, simply being on someone’s feed and popping up on it gets you in front of more people who would otherwise have never seen you.
Plus, being a shoppable posts sponsor further increases your reach and gets you seen by plenty of new eyes. Shoppable posts done well will give you strong reach on Instagram; you can also improve your organic reach with strategic hashtags that make it likelier for a wide audience to interact with you.
It’s important to keep visual appeal in mind when it comes to shoppable posts, too. You should avoid making your posts appear like blatant advertisements by making their aesthetics consistent with those of your organic posts. Visually appealing and finely curated shoppable posts will blend into the feed and appear more inviting to people scrolling.
Conclusion
Shoppable posts allow customers to purchase your products directly from your social media posts. Popular platforms for shoppable posts let users avoid having to research products; they can instead easily find a direct link to the item or service alongside a description of the item.
By doing this, there is a smaller chance that potential customers become frustrated with search results before making a purchase. Overall, shoppable posts are an effective way to showcase new products, promote sales, and create excitement around your brand.
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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