MARKETING
3 Smart Bidding Strategies To Help You Get the Most Out of Your Google Ads
Now that we’ve officially settled into the new year, it’s important to reiterate that among the most effective ways to promote your business are Google Ads. Not only do Google Ads increase your brand visibility, but they also make it easier for you to sell your services and products while generating more traffic to your website.
The thing about Google Ads, though, is that setting up (and running) a Google Ads campaign isn’t easy – in fact, it’s pretty beginner-unfriendly and time-consuming. And yet, statistically speaking, no platform does what Google Ads can do when it comes to audience engagement and outreach. Therefore, it will be beneficial to learn about and adopt some smart bidding strategies that can help you get the most out of your Google Ads.
To that end, let’s check out a few different bidding strategies you can put behind your Google Ads campaigns, how these strategies can maximize the results of your Google Ads, and the biggest benefits of each strategy.
Smart bidding in Google Ads: what does it mean, anyway?
Before we cover the bidding strategies that can get the most out of your Google Ads, let’s define what smart bidding means. Basically, it lets Google Ads optimize your bids for you. That doesn’t mean that Google replaces you when you leverage smart bidding, but it does let you free up time otherwise spent on keeping track of the when, how, and how much when bidding on keywords.
The bidding market is simply too big – and changing too rapidly – for any one person to keep constant tabs on it. There are more than 5.5 billion searches that Google handles every day, and most of those searches are subject to behind-the-scenes auctions that determine which ads display based on certain searches, all in a particular order.
That’s where smart bidding strategies come in: they’re a type of automated bidding strategy to generate more conversions and bring in more money, increasing your profits and cash flow. Smart bidding is your way of letting Google Ads know what your goals are (a greater number of conversions, a goal cost per conversion, more revenue, or a better ROAS), after which Google checks what it’s got on file for your current conversion data and then applies that data to the signals it gets from its auctions.
Types of smart bidding strategies
Now that you know what smart bidding in Google Ads is and why it’s important, let’s cover the best smart bidding strategies you can use to your advantage.
Maximize your conversions
The goal of this strategy is pretty straightforward: maximize your conversions and get the most out of your budget’s allocation toward said conversions. Your conversions, be they a form submission, a customer transaction, or a simple phone call, are something valuable that you want to track and, of course, maximize.
The bottom line here is simply generating the greatest possible number of conversions for your budget. This strategy can potentially become costly, so remember to keep an eye on your cost-per-click and how well your spending is staying inside your budget.
If you want to be extra vigilant about keeping conversion costs in a comfy range, you can define a CPA goal for your maximize conversions strategy (assuming you’ve got this feature available).
Target cost per acquisition
The purpose behind this strategy is to meet or surpass your cost-per-acquisition objective that’s tied to your daily budget. When it comes to this strategy, it’s important to determine what your cost-per-acquisition goal is for the strategy you’re pursuing.
In most cases, your target cost per acquisition goal will be similar to the 30-day average you’ve set for your Google Ads campaign. Even if this isn’t going to be your end-all-be-all CPA goal, you’ll want to use this as a starting point.
You’ll have lots of success by simply leveraging target cost per acquisition on a campaign-by-campaign basis, but you can take this one step further by creating a single tCPA bid strategy that you share between every single one of your campaigns. This makes the most sense when running campaigns with identical CPA objectives. That’s because you’ll be engaging with a bidding strategy that’s fortified with a lot of aggregate data from which Google’s algorithm can draw, subsequently endowing all of your campaigns with some much-needed experience.
Maximize clicks
As its name implies, this strategy centers around ad optimization to gain as many clicks as possible based on your budget. We recommend using the maximize clicks strategy if you’re trying to drive more traffic to your website. The best part? Getting this strategy off the ground is about as easy as it gets.
All you need to do to get started with maximizing clicks is settle on a maximum cost-per-click that you then earmark. Once that’s done, you can decide how much money you want to shell out every time you pay for a bid. You don’t actually even need to specify an amount per bid since Google will modify your bids for you to maximize your clicks automatically.
Picture this: you’ve got a website you’re running and want to drive more traffic to it. You decide to set your maximum bid per click at $2.5. Google looks at your ad, adjusts it to $3, and automatically starts driving more clicks per ad (and more traffic to your site), all without ever going over the budget you set for your Google Ads campaign.
Conclusion
If you’ve been using manual bidding until now, you probably can’t help but admit that you spend way too much time wrangling with it. There are plenty of other things you’d rather be – and should be – spending your time on. Plus, bids change so quickly that trying to keep up with them manually isn’t even worth it anymore.
Thankfully, you’ve now got a better grasp on automated and smart bidding after having read through this article, and you’re aware of some important options you have when it comes to strategies for automated bidding. Now’s a good time to explore even more Google Ads bidding strategies and see which ones make the most sense when it comes to your unique and long-term business objectives. Settle on a strategy and then give it a whirl – you’ll only know whether a strategy is right for you after you’ve tested it time and time again. Good luck!
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.”
-
SEARCHENGINES6 days ago
Daily Search Forum Recap: October 3, 2024
-
WORDPRESS7 days ago
How Open Source Collaboration Enhances Studio – WordPress.com News
-
WORDPRESS6 days ago
WP Engine sues WordPress co-creator Mullenweg and Automattic, alleging abuse of power
-
SEARCHENGINES5 days ago
Google Ranking Volatility Record, Forbes Advisor Slapped, Bing Generative Search Experience & More
-
WORDPRESS5 days ago
Automattic demanded web host pay $32M annually for using WordPress trademark
-
SEO6 days ago
YouTube Extends Shorts To 3 Minutes, Adds New Features
-
SEO4 days ago
Google’s AI Overviews Avoid Political Content, New Data Shows
-
SEO5 days ago
8% Of Automattic Employees Choose To Resign
You must be logged in to post a comment Login