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.
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.
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!
Although often underrated or reduced to a “networking platform,” LinkedIn has the potential to help you drive traffic to your website, increase brand awareness, and boost your revenue. How? Through LinkedIn sponsored updates or ads.
Salesforce has announced an integration between Salesforce Commerce Cloud and Google Merchant Center to help merchants highlight the availability of products in stores. The move builds on Salesforce data that suggests both the widespread use of online search in advance of brick and mortar store visits, and an increased likelihood of shopping trips when consumers can see that a store has an item in stock.
Using this new integration, merchants using Commerce Cloud will be able to turn local inventory data into local product listings on Google Search and Google Maps and in the Shopping tab.
Varför vi bryr oss. The distinction between digital and real-world commerce continues to collapse. Those online shopping behaviors that exploded during the pandemic will be with us for the foreseeable future, but it doesn’t mean store visits are a thing of the past.
Rather, consumers are looking for seamless connections between an online product discovery experience and in-person purchases. This integration seeks to support that aim at a granular local level.
The Salesforce data that supports the move can be found here.
Embedding commerce in discovery. The integration also braids together online discovery and the commerce experience. Just as many merchants now seek to provide a frictionless transition from finding a product online to making a digital purchase, this sees the opportunity to link discovery with in-person shopping.
This move pairs with the recent announcement of Salesforce’s Einstein GPT for Commerce that combines proprietary and generative AI models with real-time data such as customer demographic data and shopping history, to automate and tailor shopper recommendations in Commerce Cloud.
Kim Davis är redaktionschef för MarTech. Född i London, men en New Yorker i över två decennier, började Kim täcka företagsprogramvara för tio år sedan. Hans erfarenhet omfattar SaaS för företaget, digital-annons-datadriven stadsplanering och tillämpningar av SaaS, digital teknik och data i marknadsföringsområdet.
Han skrev först om marknadsföringsteknologi som redaktör för Haymarkets The Hub, en dedikerad marknadsföringsteknologiwebbplats, som sedan blev en kanal på det etablerade direktmarknadsföringsmärket DMN. Kim började på DMN proper 2016, som senior redaktör, och blev Executive Editor, sedan chefredaktör en position som han hade till januari 2020.
Innan han arbetade med teknisk journalistik var Kim Associate Editor på en hyperlokal nyhetssajt i New York Times, The Local: East Village, och har tidigare arbetat som redaktör för en akademisk publikation och som musikjournalist. Han har skrivit hundratals New York restaurangrecensioner för en personlig blogg och har varit en och annan gästbidragsgivare till Eater.
82% of marketers believe that AI will be the future of marketing—in fact, many of them already believe AI writes better than a human (Capterra study).
Well, with ChatGPT flying past 100 million users in just two months…we’re living in the future.
AI is revolutionizing the way we work, think, and create.
I joined Content at Scale as the VP of Marketing this January in a bold move of ‘adapting or die’ for my career in content—one month in, what I’m seeing, learning, and facilitating for marketers and teams is blowing my mind. Let’s talk about it.
Reduce Content Overhead Costs and Frustrations by 5x-25x With the AIO Model
It’s now the Stone Age to sit at your computer and drum up 2,500 words for an SEO post from a blank slate.
When you can generate long-form SEO content (2,500 words or more) that’s fully original and well-written inside of five minutes or less, you’ll never want to go back.
On average, I’m seeing a 5-25x reduction in associated content creation costs (which is mind-boggling!), and a time savings of 5-10x. (My full-time writer at Content Hacker went from 7 hours per post to one hour per post after we adapted this model.)
Here’s the AIO model I’ve built out reflecting the difference of what you can do in your business and marketing by replacing the human blank-slate writing with AI blank-slate writing, based on hundreds upon hundreds of use cases from Content at Scale clients:
Artificial Intelligence as the baseline writer (replacing the human writer and blank slate)
The human writer as an optimizer of the AI baseline content
With the time and money savings, it’s an absolute no-brainer to switch to AI as the baseline.
The Human Process Involved In AIO
While we see AI perfectly capable of writing an entire 2,500 word blog from scratch, with a single keyword and one-sentence prompt:
We also see the need for the human optimization process pre-publicera more necessary than ever.
Without your unique story (or client case studies/testimonials) woven in, the human touch of adding statistics, double-checking facts and cutting the fluff; AI-written content simply won’t stand out. It won’t set you apart in the content sea; it won’t drive customers and loyal fans in droves to your email list. So, the human touch is necessary.
My C.R.A.F.T. framework within AIO defines the steps writers should take to make the AI content more human and personalized once you take it from AI and get it ready to publish (from AI to O):
1. Cut the fluff
2. Review, edit, optimize
3. Add images, visuals, media
5. Trust-build with personal story, tone, links
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Humans are needed for the optimization side, and for that human touch that must be applied to the content AI generates. Content itself will never be a fully automated, 100% AI process; but AI can remove hours and hours of painstaking work from the content creation pipeline, which will save countless amounts of energy and dollars in the coming months and years when marketers adapt in full force.
Predictions About the Future of Content & AI
This year, Capterra surveyed almost 200 marketers using AI in their marketing. 82% of them said that the content written by AI was just as good if not better than human-generated content.
One of the first Generative AI experts in the world, Nina Schick (founder of Tamang Ventures, and creator of Substack project ‘The Era of Generative AI’), has told Yahoo Finance Live that she believes ChatGPT will completely revamp how digital content is created, and by 2025, software built with ChatGPT will enable us to reach 90% of all online content now being generated by AI. She said: “ChatGPT has really captured the public imagination in an extremely compelling way, but I think in a few months’ time, ChatGPT is just going to be seen as another tool powered by this new form of AI, known as generative AI,” she said.
Google Trends shows a HUGE jump in interest and traffic around the term “ChatGPT:”
Search traffic shows that the interest in AI is the highest it has ever been. The previous peak was in January 2012:
375 million jobs obsolete in the next ten years. In the next three years, it’s predicted that 120 million workers around the globe will need to be retrained and re-skilled for this new world.
Newer and better-paying jobs in AI will come on the scene, but they won’t replace the amount of jobs lost; so without retraining and reskilling, and learning how to adapt, average people will have difficulty finding new work.
Are You Ready to Join the Future?
I’m excited to see just how much AI will revolutionize human efficiency and optimization.
We’re in new times.
Are you ready to join the future of marketing and learn about all things AI?