Connect with us

MARKETING

Why testing is strategic experimentation for sustainable growth

Published

on

Why testing is strategic experimentation for sustainable growth

Are you running tests in your marketing?

If not, you should be. If you are, you’re probably not getting the full value from your testing.

Testing is the single most powerful tool in a marketer’s toolkit. For too long, testing has been misunderstood and underutilized by marketers. 

If you want to determine which approach works better, testing is the obvious approach. Through experimentation, we can statistically prove which messaging, creative or page generates a better response and increased sales.

The power of testing isn’t limited to the tactical level. Understanding and applying testing at a strategic level will transform how you approach your marketing and can unlock the ability to drive consistent and predictable growth.

Why testing is strategic experimentation for sustainable growth

Testing is misunderstood

There’s a testing gap in marketing. The reality is most marketers have zero experience with testing and experimentation. And the few who know something about testing have learned about it second-hand, from blogs and videos.

There’s nothing inherently wrong with educational content that’s freely available online, but there is, unfortunately, a plethora of misinformation about testing. A quick Google search about testing will lead you to advice suggesting that a “good test” could be as easy as comparing a red button versus a blue button. 

Don’t fall for the trap. Testing is much more complex.

There are two big challenges with testing: deciding what to test and interpreting the results correctly. Both are essential, and many experienced marketers still incorrectly do one (or both).

Every test you run takes effort, resources and time. That means every test has both a tangible cost and an opportunity cost. In short, testing is expensive. 

To maximize the impact of testing, you must prioritize your tests, focusing on the experiments that will produce the greatest result in the shortest time. This is where deciding what to test matters—a lot.

Red or blue won’t do

Which is why testing random things or minutiae (like a red or blue button) won’t get you very far. Many marketing teams spend months “doing testing,” but all they’ve really done is waste time and money with little to no demonstrable results or insights.

In addition, understanding whether or not your test results are valid isn’t always cut and dry. Many factors can influence or affect the performance of a test, including other campaigns, messaging, seasonality and so much more.

Running tests is best practice in marketing. However, success with testing requires a strategic and scalable approach. Embracing test-driven marketing is the future.


Get the daily newsletter digital marketers rely on.


Don’t judge a test by its results

If you’re judging the effectiveness of your testing program based on results, you’re missing the point of testing.

The goal of testing, contrary to popular belief, is not to get better results; that’s a byproduct of good execution. The true purpose is gaining new insights into what works (and what doesn’t). 

These insights are far more valuable than results. They can be applied across all of your marketing efforts—current and future—to drive improvements. And they can shape and direct your marketing strategy.

From this perspective, every test generates value in the form of insights, even if it fails to produce a performance improvement. This should be reassuring because it reduces the risk and increases the return on investment (or “return on testing”).

The insights you gain from testing are most valuable when they can be applied to the widest areas of your marketing. Therefore, you must be testing areas that will generate insights that have the most significant use case based on your marketing. 

In other words, you need to figure out the strategic assumptions and questions that your marketing is facing and build a testing plan that will find the answers you need.

Set your themes

This inherently prevents you from testing small details and allows you to have the biggest impact in the shortest amount of time. Instead of running many unrelated tests, you can choose a set of “themes” aligned to your marketing strategy. Then your tests can support one or more themes which will help you validate and direct your strategy and implementation.

This is what test-driven marketing is all about, and it’s the foundation for agility in marketing. Where marketing strategy and experimentation intersect, you can rapidly and efficiently discover the right path forward, much like electricity following the path of least resistance.

It sounds great in theory, but it requires the support of leadership and a culture that can embrace a “test-first” mentality. This is a deviation from the traditional approach to marketing, where you would normally plan, execute and test. Testing must be a focus from the very beginning.

Developing internal best practices

If testing is about insights instead of results, you must capture them.

Document every experiment, including your idea, hypothesis and results, in a central repository which I call the “Book of Knowledge.” This is a shared destination for the marketing organization to collect, document and learn from the successes and failures of our experimentation efforts.

As a starting point, it helps to provide visibility into the tests being done and the insights learned. Making this visible to everyone, even outside of marketing, is the easiest way to spawn new ideas for tests that have the highest chances of success. 

It also serves as a capture point for new ideas which will form your backlog for testing. For example, the customer service department can contribute excellent ideas for tests based on their experience of interacting with customers daily.

Most importantly, over time the Book of Knowledge becomes a source of truth and insights—your internal best practices. The next time you launch a campaign, produce creative assets or write a headline, you can refer to the Book of Knowledge to see what has worked and what hasn’t. And you’ll know exactly what to do to have the highest chance of success.

Accelerating learning to drive rapid growth

Testing isn’t just about optimizing; it’s also about accelerating learning to drive rapid growth.

The key to growth in marketing is testing at scale. The faster you test, the quicker you learn. The quicker you learn, the faster you can invest in the right things to drive growth.

Testing at scale has been difficult, slow and expensive in the past. But not anymore, with new platforms like TikTok providing massive organic reach, it can take minimal production time and effort to get unlimited chances to find what works.

TikTok brand safety and suitability

TikTok is a test-driven marketer’s dream come true. You can test rapidly and at scale to discover hooks, headlines, messaging, creative, campaign concepts, sounds, etc. There’s no cost, no penalty for uploading multiple times a day and no limit for seeing how a massive audience responds.

In 2021, TikTok surpassed Google for traffic. If you’re not producing content on TikTok, now is the time. 

Navigating the maze of marketing growth

Today, marketers are captivated by the promise that artificial intelligence and algorithms will be an easy route to success. Alas, they are not the utopia we want to believe they are. 

Let’s be honest. In marketing, no one knows what will work. 

Achieving growth in marketing is like navigating a maze wearing a blindfold. It takes a careful and methodical approach to stumble down many wrong paths to find your desired destination and escape the disorientating array of potential options.

Success in marketing requires a consistent, thoughtful, and systematic approach to testing. We must experiment to find the path that works for us instead of trying to follow in the footsteps of competitors. And it’s imperative that we focus on insights—not results—that are documented, disseminated, and applied universally.

Growth will always be elusive until you embrace testing at a strategic level and use it to discover what works for your brand, solutions and audience.


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About The Author

The lost art of talking to customers
Tim Parkin is a consultant, advisor, and coach to marketing executives globally. He specializes in helping marketing teams optimize performance, accelerate growth, and maximize their results.
By applying more than 20 years of experience merging behavioral psychology and technology, Tim has unlocked rapid and dramatic growth for global brands and award-winning agencies alike.
He is a speaker, author, and thought leader who has been featured in AdAge, AdWeek, Inc, TechCrunch, Forbes, and many other major industry publications. Tim is also a member of the American Marketing Association, Society for the Advancement of Consulting, and an inductee to the Million Dollar Consulting Hall of Fame.


Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

MARKETING

YouTube Ad Specs, Sizes, and Examples [2024 Update]

Published

on

YouTube Ad Specs, Sizes, and Examples

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!

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

Why We Are Always ‘Clicking to Buy’, According to Psychologists

Published

on

Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

(more…)

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

A deeper dive into data, personalization and Copilots

Published

on

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.”

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending