If you want your PPC campaigns to remain effective in 2020, you have no choice but to evolve. In some cases, that evolution will mean thinking about things very differently than before.
If your program isn’t in an advanced state already, here are ten tactics you must try this year (in no particular order).
1. Layered Audience: Demographics & Affinity
It’s no secret that a campaign will perform best when you clearly define who it’s meant for.
By using the combined power of Google Ads and Analytics, you’re able to give your campaigns a better chance of success by targeting those most likely to take the desired action. I look at demographics and affinity as a more of a passive “who they are” classification.
The screenshot below shows current site visitors who fall into the affinity category of “Pet Lovers”. Those specific customers convert 46% better than the average. That’s an audience worth engaging:
2. Layered Audience: In Market
While Demographics and Affinity audiences are more about “who they are”, In-Market audiences are about “what they’re doing”.
In this case, this an audience who is exhibiting certain online behavior consistent with those who are actively “in the market” for a product or service.
3. Layered Audience: Life Events
Anyone who has ever run a Direct Response campaign (even in the pre-digital days) knows that reaching potential customers at key life event stages can be critical to its performance.
If you’ve ever gotten a mortgage (or even just moved to a new address), you’ve probably noticed an increase in the volume of offers you receive. There’s a very good reason for that – data shows it’s effective.
Google Ads allows you to run promotions for specific “life events” on a limited basis today. It’s limited because:
- You’re restricted to life events concerning:
- College graduation.
- It’s currently available for Gmail and YouTube campaigns.
They launched these targeting capabilities in the last couple of years and hopefully, it will eventually be expanded as a targeting layer for additional events and platforms.
4. Running One Responsive Search Ad (RSA) Per Ad Group
I know. You tried it and were less than impressed. I get it.
Try it again, but this time on some keywords and audiences that might not be your core focus.
If your campaigns are anything like most, you have some core audiences and set of keyword variations that make up the bulk of the conversions and revenues.
Test RSAs to try and find success outside that core audience. The biggest things to remember:
- The key word in machine learning is “learning.” In order to “learn” what works, the “machine” also must learn what doesn’t. That takes time and a bit of volume to get a good read.
- You still need to input some quality headlines (minimum 3, up to 15) and descriptions (minimum 2, up to 4). If those are sub-quality, no amount of machine learning will help your campaigns.
5. Establish a Target Cost Per Acquisition (CPA) or Return on Ad Spend (ROAS)
This is a Marketing 101 principle that unfortunately even some of the largest companies in the world don’t complete (or at least complete properly).
The automation is now in place to optimize campaigns at scale to a specific CPA or ROAS, but that functionality is useless if you don’t have that figured out (and potentially even worse if you have a CPA or ROAS goal calculated with poor logic).
Is CPA a perfect metric? Nope.
Neither is ROAS.
I have challenges with both when we’re talking about a tactic like text search ads that usually play a role somewhere in the second half of a purchase journey.
Without proper context, CPA and ROAS are very incomplete numbers. However, you can get to a number that’s a reasonable mark for optimizing campaigns to once you take the time and effort to piece together the following:
- The various marketing campaigns required to take a buyer from pre-awareness to a conversion.
- The lifetime value of a customer.
- Your margins.
6. Test Smart Bidding Strategies
See #5. Once you have that foundational element established, you can begin to let the system “do the grunt work” it takes to get the campaign there.
7. Invest in Microsoft Ads Already, Will You?!?!
Microsoft Ads have come a long, long way since the early days of Bing when a lot of us in PPC treated them like an afterthought that we would “get around to” when we had time and as long they made it easy to copy our AdWords campaigns over.
Of course, there are no guarantees it’ll be effective for your brand, but I’m seeing more consistent success across my account base than I did five years ago.
They even have some features that Google doesn’t (and can’t) have. For more insight on that, check out the recent post from contributor Tim Jensen.
8. Using Google Analytics Data to Execute Remarketing Campaigns
Are you still remarketing equally to everyone who visits your site?
Are all your site visitors equal?
Of course not!
The example below is from a business that has both an ecommerce and physical retail presence.
A quality visit entering the site on a “store locator” page is an opportunity to present remarketing ads promoting the in-store experience.
9. Report the Store Visits Metric (For Businesses with Brick & Mortar Locations)
While we’re on the subject of brick & mortar, leveraging the Store visits metric available in Google Ads is a great way to gain additional support for your campaigns.
Sometimes the management in the physical stores can feel like digital marketing campaigns are designed more for Ecommerce so it’s great to be able to present this kind of data.
10. Review & (Most Likely) Revise Your Campaign Structure
A campaign restructure is often one of the first things an experienced PPC pro ends up recommending once an audit is complete.
A poor campaign structure is much like a bad foundation on a house – if that’s in bad shape, not much else matters.
A proper campaign structure has always been important, but it’s absolutely critical if you want to take advantage of the automation capabilities to optimize and scale your campaigns.
In order to let the automation handle the grunt work and get you out of the weeds, you must be very strategic about how you structure the campaigns.
There’s not a handbook on one way correct way to structure a campaign for all types of businesses, but in general, you need to take into account:
- Product mix.
- Core terms.
- Budget ownership.
- Your ability/bandwidth to manage it all.
Proper setup requires a lot of heavy lifting but will pay the dividends of a long shelf life and program scalability.
Ironically, this last recommendation is something you’ll likely need to do before you can find success with the earlier ones.
Trying these tactics will not guarantee success and I’m certain there will be additional “Must Try” PPC features this year that will make sense for your campaigns.
If you haven’t tried the tactics from this post in your campaigns yet, try using this list as a checklist and track your progress. Good luck!
- 10 Paid Search & PPC Best Practices for 2020
- 5 Innovative PPC Tactics to Try Today
- Do You Really Want a 100% Google Ads Optimization Score?
All screenshots taken by author, January 2020
Technology and brain science can drive performance
As a marketing leader, you’re tasked with turning potential customers into revenue. To drive bottom-line growth, you’re ready to create a strategy for attracting, engaging, and converting prospects across all of your marketing channels. But do you have the right technology to achieve your goals?
As you evaluate your martech stack, you might realize that you need to do more than use the right technology — you need to optimize it. Optimization science is harnessing the full potential of customer-facing technology. It’s both a methodology and a mindset — and it’s about squeezing every ounce of value from your new solution.
To optimize your technology solution’s impact, you need to think beyond features and functionality. Specifically, you need to think about how you want to leverage your new platform to influence customer associations, perceptions, and behaviors to align with your strategy. In other words, you need to take a holistic approach to technology deployment — and that encompasses your customer’s brain.
Getting started with a few simple steps
The martech landscape is dotted with a cornucopia of solutions. According to Scott Brinker, VP of platform ecosystem at HubSpot, there are 9,932 martech solutions on the market — a 24% increase from 2020. With a seemingly overwhelming number of options from which to select, where do you even start? Also, how do you navigate the waters of social psychology within your organization while setting the stage for triggering behaviors among the potential customers who interact with your technology?
To get started, let’s take a look at the following three steps:
- Selecting the right technology platform.
- Understanding integration constraints.
- Configuring for optimization.
1. Selecting the right technology platform
Yes, the first step might seem a little elementary; but such is the nature of initial steps. How many times did legacy thinking affect decisions at your place of work? How many times did existing relationships or power dynamics influence an important decision? Behavioral norms and social psychology often play an outsized role in technology deployment. As you evaluate your options, forget about the relationships and biases of your co-workers (and expunge your own biases to the extent that’s possible) — and select the technology that can deliver optimal results.
Selecting the right technology involves foresight and a laser-like focus on your audience. After all, you’re deploying a system that allows your organization to interact with your customers to achieve tangible benefits. As you attempt to assess your technology options objectively, now is the time to start considering your customer’s brain.
2. Understanding integration constraints
There are more questions to ask before you embark on your journey. Perhaps most obviously, how does the platform fit within your current martech stack? Do you see a sea of messy code over the horizon, or do you see a fluid integration in which data flows easily from one system to the next?
Although you don’t want to be completely beholden to legacy systems, you do need to consider how your new marketing technology integrates with current, and quite possibly, future systems. Failure to look closely at integration at the beginning could end with an Odyssean voyage home, leaving you alone to fend off Scylla and Charybdis as you navigate the seas of cognitive dissonance.
3. Configuring for optimization
A good marketer will create a messaging strategy that focuses on benefits instead of features. Still, you need to harness the full set of features to reap the greatest number of benefits from your marketing technology. As a result, you likely need to configure your new platform to utilize various features. To get the most out of your technology solution, start thinking about the solution’s full capabilities early in the process.
Imagine a scenario where your initial goal was to capture leads via chat online. You’re happy because you implemented a conversational chat platform that accomplishes the initial task perfectly. It even connects to your CRM and your analytics dashboard. Tragically, however, you didn’t dedicate anyone on your team to create automated conversation flows before your go-live date to qualify leads after-hours. That would be a colossal failure — no matter how good the technology.
How does the brain respond to your technology?
You’ve selected the technology solution that works best for your organization. But how does it interact with your customer’s brain? The human brain processes an enormous amount of information—most of which occurs below the level of consciousness. When your customer looks at your system, for example, the eyes dart rapidly across the user interface, triggering a cascade of neurobiological activity that can affect everything from thoughts and emotions to desired behaviors such as downloading white papers and liking your social media posts.
As your customer’s brain re-constructs the visual world in front of your technology, you have an incredible opportunity to shape the associations linked to your brand. And you can do this while influencing the behaviors you find most valuable to your organization. As such, you need to think beyond the framework of traditional deployments and start thinking about how to facilitate behaviors that align with your goals.
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Activating aesthetic appreciation in the brain
Is the user interface aesthetically pleasing? Yes, it’s an odd question for a technology deployment; but your customer’s brain does odd things. If you’re looking to optimize your new system’s effectiveness, you need to think about how you create an aesthetic experience for your customer. This is important because the brain responds favorably to aesthetic experiences, as you can read here.
According to Anjan Chatterjee, MD, a neurology professor at the University of Pennsylvania and Oshin Vartanian, a psychology professor at the University of Toronto, aesthetic appreciation emerges from an interplay among different systems in the brain, which encompass “sensory-motor, emotion-valuation and knowledge-meaning” areas.
Known as the aesthetic triad, the involvement of large-scale systems underscores the magnitude of an aesthetic experience. And what’s most important for you to know is that your technology interface can trigger an aesthetic experience.
Considering that an aesthetically pleasant experience can activate brain parts associated with perceptions, emotions and behaviors, you need to think about the user interface in terms of aesthetic appreciation. As such, let’s take a look at aesthetic considerations for a couple of marketing solutions, including:
• Conversational chat technology.
• Email marketing software.
Conversational chat technology
Your new chat platform is everything you imagined. But is it everything your customer imagined? You already did the hard work, configuring the system to capture leads online when you’re offline (unlike the scenario discussed earlier). You even created thoughtful conversation workflows that underscore how well you get the nuances of automation and conversational chat. But how does the customer’s brain process the visual appearance of the chat window?
Sure, it matches your brand colors. But does it create an aesthetic experience for your customer? What does your bot avatar look like? How do the shadows and lines affect subconscious associations? If you want to optimize the deployment of your chat platform, you need to think about every little visual cue that your customer’s brain might process — and then optimize accordingly.
Email marketing software
You feel confident that you selected the right email marketing platform. You’ve integrated it seamlessly with your tech stack and configured it to achieve your goals. You’re particularly pleased about how you can connect with your audience with robust automation sequences. But what does the email look like to the user?
When deploying a new email marketing platform, ensure that you’re creating a truly aesthetic experience. Often, this involves using a visually appealing template or creating a custom design that connects your audience to your brand. Whether you need to outsource design work to an agency or leverage your in-house team, you need to go above and beyond to ensure your email looks good.
Triggering dopamine spikes
The brain likes aesthetically pleasing stimuli, but that’s only part of optimizing your solution. When it comes to influencing action, you need behavioral prompts spread strategically across all of your marketing channels — and that starts with dopamine.
Dopamine facilitates goal-directed behavior. As I described in my previous article, the largest dopaminergic spikes occur during moments of anticipation of a reward. With this in mind, let’s take a moment to consider a scenario in which your consideration of the customer’s brain early in the process helped you make the right technology selection and configuration.
Video hosting solution
You plan on launching a series of videos. The good news is that you already know what type of content your audience likes. You also know the behavior you want to trigger. You want each person to provide an email address to watch a video. But did you know that different platforms allow you to gate your content differently?
How do you use optimization science to ensure you capture as many emails as possible? If you’re looking to optimize your conversion rate, you need to trigger a dopamine spike right before asking for an email. How do you do that? You need to provide content that creates anticipation.
Since you want to create anticipation before asking for an email address, you want to avoid gating the video before the user starts watching it (which is the traditional approach). Instead, select a solution that allows you to gate the content right before the moment the user is at the most elevated state of anticipation during the video. If you do this, you can elevate the amount of dopamine in each customer’s brain to exchange email addresses for content at a higher rate than you ever thought possible — while also playing on the concept of loss aversion, which you can read in one of my previous articles.
The above scenarios only represent a few considerations about which to think. After all, you can facilitate a variety of complex behaviors in your customer’s brain that extend far beyond what’s mentioned in this article. The key takeaway is to think about marketing technology adoption in terms of optimal effectiveness. As a marketing leader, you can launch your metrics into the stratosphere when you approach technology adoption with the customer’s mind. And that starts with an understanding of optimization science.
Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.
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