MARKETING
Unlocking Hidden Revenue: The Inbox Retargeting Methodology
Page conversion rates have ALWAYS been a problem. The simple fact is most people don’t convert even on the most optimized pages.
What’s why traditional retargeting on ad networks has been so dang powerful. While retargeted leads come cheap, they still aren’t free. Worse, you’re back competing against your competition in the ol’ ad auction system.
For the last 6 years, I’ve been using a tactic called Inbox Retargeting to identify who lands on my key pages and directly reach out to them in their inbox.
No more ads. No more auctions. Just a targeted contact that showed they were interested, but didn’t quite take the leap yet.
Before I dive into the “What’s” and “How’s”, this tactic can only be used in the good ol’ US of A. If you aren’t in the states or don’t have clients in the states, you’re out of luck. Sorry!
How It Works
Inbox retargeting doesn’t take a lot of heavy lifting. I’ll share the strategy next but I wanted to start with some of the logistics.
DISCLAIMER: I am not a lawyer or coder, so keep that in mind if technical or legal questions pop up.
If you have a website, you have tracking scripts, e.g., GA4, the Facebook Pixel, Heatmap software, etc…
To get started with Inbox retargeting, you just need to be able to copy and paste two scripts on your site:
- A collection script: This fires and tries to identify the visitor
A suppression script: You’d fire this on your conversion confirmation pages, you don’t want people who converted to land in your Inbox Retargeting campaigns.
The tech works off of a database of contacts in the United States that are eligible for emails, so it’s completely above board with your ESP. However, you’ll want to do a few things before you start treating them like a regular member of your email list.
We initially tested this on one of our paid media campaigns. We already had a really strong campaign that we wanted to squeeze more leads out of…and boy did we.
We were driving traffic from Meta (Facebook for the OGs) to this landing page:
This page converts at 58%. Yeah, that’s a humble brag…deal with it.
Even with a 58% conversion rate, we’re still missing out on 42% of the traffic we’ve already paid for. That’s kind of a bummer.
After we added the collection script to the page, they were able to capture a lot more leads. The conversion rate jumped from 58% to a very sweet 87% – that’s a 50% increase!
That was the impact on a single page, that’s when we knew it was time to go bigger.
The Strategy
Most of the tools out there, whether it’s Retention.com or Customers.ai, are going to charge based on the number of contacts. So it can get pretty easy to burn through contact credits if you run the script on every page you manage, your site and your clients’ sites included.
That’s why you’ll want to make sure to select pages that capture intent versus targeting all of your traffic.
ID Key Pages
Here are some of the pages you should consider adding the collection script:
- Campaign Landing Pages – If you’re paying to send someone to a page, the referring source piqued their interest. If they didn’t convert, you’d definitely want to follow up.
- Product Pages – If someone is viewing this page they’re evaluating a particular product they were interested in.
- High Intent/Value Content Pages – This could be your pillar content on your blog pages, podcast pages, or your top level service pages.
- Registration Pages – This is a subset of a landing page, but if someone got all the way to a registration or sigh up page, they’re a prime candidate for outreach.
- Cart Pages – People abandon carts all the time. If you weren’t able to catch their details during checkout, this is an ideal opportunity.
Effectively it’s any page where you’re pushing a specific action. While the above pages are the pages to choose from, a homepage is acceptable but will require a little more finesse when you follow up.
Map to Email Campaigns
Now that you’ve identified where you’re going to identify leads, you’ll need to map it to your automation tool.
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Most tools have a direct integration with your email service provider, but worst case scenario you may have to pass the data through a no code integration tool like Zapier.
Once you’ve worked out the digital plumbing, you’ll want to follow up based on the page the contact was collected on. Here’s how you should approach follow up:
- For Campaign Landing Pages – Give them the specific asset. They were interested in it, you’ve got their contact information, just hand over the goods. This builds good will at the start of the relationship.
- Product Pages – Send over the details of the product or product category they were viewing. This could be as simple as a reminder or you could build goodwill with a special offer or coupon.
- High Intent/Value Content Pages – Send over some of your best content or freebies that move people to the next phase of the Customer Value Journey.
- Registration Pages – Treat these like an “abandoned cart” type of email and get them to take that next step.
- Cart Pages – Same as “Registration Pages” but it’s, you know, an actual abandoned cart reminder. Similar to the product pages you could entice them to come back with a deal or coupon.
- Homepages – If you do run these on the homepage, you’ll need to do more of a reintroduction then transition to showcasing your best stuff.
Email Structure
The initial message you send needs to have a very specific flow. There are four critical things that need to happen when they open up your Inbox Retargeting message.
First, remind them about who you are and how they know you. This can be as simple as a, “Hey, thanks for stopping by…” message. Have some fun with it.
Next, you need to provide highly specific value based on their browsing intent. If you get this wrong, they’re just going to file your message under SPAM.
After that, you’ve got to set expectations with what they’re getting and now you’ll be communicating with them moving forward.
And Finally, you need to give them an EASY OUT. These campaigns have our highest unsubscribe rate, but that’s because we outright ask people to unsubscribe if they don’t want any additional contact.
Once you’e gone through this, you treat them like one of your regular subscribers with all your fancy ascension automations, content emails, and promotional emails.
Here are the email stats from one of our PPC Campaigns:
With an average open rate of 53.87%, we know there’s a base line interest in the deliverable. The click rate is DANG good for messaging visitors who didn’t convert.
Sure the unsubscribe rate is a little high for this campaign, but that is intentional. We push them to opt-out in the first email so we don’t get dinged later with complaints.
The Payoff: An Additional 109k Last Year
I mean, who doesn’t want another cool 100 grand for adding a script to your website and writing a couple of emails? Here’s how the numbers work out:
Last year, we identified 3,714 leads using this method. IMPORTANT: When I was pulling these numbers, I realized we installed the code wrong on some pages and missed out on about another 2k leads…oops!
Our average lead cost was ~$7, so the leads themself were a $26,000 additional value. This alone would be a reason to use the tech.
BUT JUSTIN, did they convert?!
Yes!
We closed $36,000 in IPPC business from this lead source. For what we spent on those leads we’re looking at a 750% ROAS. Not too shabby.
The rest of the money we made was by selling this service to our clients. Since we run paid ads for clients, this method is a complete no brainer. We ran a pilot program and only offered this to a handful of clients last year, we averaged about 4k/month in sales.
We sold clients the leads at ~$2/lead for some of the niches we work in, that’s a steal.
If you decide to sell this you need to make sure the client knows these are lower intent leads and will require longer term nurtures. If you follow the email strategy I shared above, you’ll be good to go!
Protip: Charge for building the follow up sequence!
So that’s it! If you’re running your own business or are an agency owner, you’ve got to consider Inbox Retargeting. Though, I do have some bad news…
Not to be “Chicken Little” but this is starting to get way more attention, there are services popping out of the woodwork so this will become a table stakes method. So get ahead of this today.
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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