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Why we care about performance marketing

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Why we care about performance marketing

Performance marketing refers to a variety of online advertising programs where parties are paid when a specific action  is completed. It’s often associated with pay-per-click (PPC) models on search engines (where advertisers pay for clicks versus impressions). However, it isn’t limited to that, encompassing any marketing approach that’s tied to a specific action. 

In addition to the traditional affiliate relationships with publishers, performance marketing opportunities now include influencers on social media, e-commerce-focused web destinations and creators all across the digital landscape. Tech platforms help broker these relationships by setting and measuring specific goals and compensation that help deliver results from the third-party publisher, creator or influencer back to the brand.


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It can be a powerful tool for marketers since it allows you to track and optimize campaigns in real-time based on measurable actions. It can help with the ROI of your marketing budget by providing data and insight about how, when, and where to allocate your spend. 

Even so, performance marketing remains vulnerable to fraud from bots and other malicious actors. Marketers need to be vigilant and skeptical about the data they’re seeing to avoid paying for actions that aren’t real. 

There are many tools and software solutions that facilitate the planning, launch, tracking and optimization of performance marketing campaigns. These tools range from simple website tracking tools to more sophisticated platforms that offer a complete suite of performance marketing capabilities. In this post we’ll cover:

  • What is performance marketing?
  • Types of performance marketing models.
  • Why marketers should care 
  • How reliable is it?
  • Who uses or works with performance marketing tools?
  • What types of tools or software enable performance marketing?
  • How performance marketing can help marketers succeed.
  • The future of performance marketing.
  • Additional reading.

What is performance marketing?

Performance marketing is any online marketing activity that can be tracked and attributed to a specific action or result. 

It encompasses any digital marketing tactic that can be tied to a measurable action – influencer, video, affiliate, search, and content marketing are all fair game in the performance marketing ecosystem.

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There are three main types of performance marketing payment models:

  • Percent  of sale – The advertiser pays a commission on each sale generated.
  • Leads – The advertiser pays a fixed amount for each lead generated.
  • New customers – The advertiser pays a fixed amount for each new customer acquired.

There are also hybrid performance marketing models that encompass multiple payment types. For example, an advertiser might pay a lead generation fee plus a percent of sale commission to their performance marketing partner.

It’s important to note that performance-based marketing tactics like paid search, where advertisers only pay when a user clicks on an ad, is not performance marketing. While PPC/CPC campaigns focus on an action (the ad click), they don’t necessarily lead to a performance-based outcome like a sale or sign-up. 

Why marketers should care about performance marketing

Performance marketing opportunities have opened up beyond traditional affiliate relationships with publishers to include influencers on social media, e-commerce focused web destinations and creators all across the digital landscape.

Tech platforms help broker these relationships by setting and measuring specific goals and compensation that help deliver results from the third-party publisher, creator or influencer back to the brand.

How reliable is it?

It’s impossible to talk about digital advertising (the machine that drives performance marketing) without addressing the $68 billion dollar elephant in the room—ad fraud.

 Globally, digital ad fraud will cost companies nearly $70 billion this year, with $23 billion lost by U.S. companies alone. That will amount to about $100 million per day by 2024.

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A (short) list of why ad fraud happens:

  • Bots simulate real user traffic on websites or apps to generate ad impressions.
  • Invalid traffic is generated by humans who click on ads to deplete their competitors’ budgets, or are paid to click/view ads (click farms).
  • Fake websites (with fake traffic) are created to inflate impressions for programmatic ad buys.
  • Domain spoofing imitates a premium website (e.g., the New York Times) to sell fake ad inventory.
  • Cookie stuffing which uses affiliate tracking cookies placed on a user’s device to track a purchase on a site like Amazon (thus stealing the commission from a legitimate affiliate).
  • Ads are stacked and the same inventory is sold multiple times – technically the impressions are real, but web visitors only see the ad on top of the stack
  • App install fraud occurs when a bot generates fake app installations or a user is incentivized to install an app and then quickly uninstall it

Since performance marketing campaigns look at actions (sales, conversions, leads) rather than superficial metrics (views, clicks, impressions) it’s theoretically a better approach.

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Even so, the scale of click fraud is so massive it inevitably impacts the amount you’ll pay for your desired action. The cost of digital ads is increasing – up 11% in the first quarter of 2022 versus the previous year with no noticeable improvement in performance.

That makes it more expensive for your affiliates and partners to buy digital ads and increases the cost per action (CPA) for you.

Another issue: while faking sales is difficult, faking certain actions isn’t, particularly on mobile devices. Bots can simulate real user downloads and app installs, click on links and fake in-app events.

The best way to ensure that your performance marketing campaign is, in fact, performing is to monitor the quality (and validity) of the actions you’re paying for.  For example, you can use a lead verification tool like LetsVerify to ensure that the leads you’re paying for are real people who have been contacted and are interested in what you’re selling.

Read next: Gannett ad mishap highlights concerns about programmatic advertising

It’s also worthwhile to monitor your CPA along with lead quality and/or sales volume. If your CPA is going up (or suddenly spikes), this can be  a sign that you’re being targeted by fraudsters.

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Performance marketing is a very specific and data-driven — and digital — approach to generating results, so it tends to fall within the purview of digital marketing teams. 

That said, regardless of where performance marketing sits within an organization’s marketing ecosystem, many people/departments use its tools and strategies.

Here are some ways different groups use performance marketing technologies:

  • Marketers plan, execute and measure performance-based campaigns.
  • Publishers track performance and get paid for results.
  • Influencers find opportunities, set goals and measure performance. 
  • Advertisers find publishers and influencers to work with, set performance-based goals and track results.
  • Business growth leaders identify and track opportunities for growth.
  • Agencies find and work with publishers and influencers on performance-based campaigns. 

Tech tools in the performance marketing space span from tracking and attribution to influencer and affiliate management. They also include features for identifying and reaching out to influencers, publishers, and partners.

The types of performance marketing tools include:

  • Partner software: This helps brands find, connect and manage relationships with performance-based partners like publishers, influencers and affiliates.  Tools like PartnerStack and Everflow enable businesses to manage influencers and referral partners (e.g., consultants, agencies, customers), track their performance and get paid for results. 
  • Referral/affiliate software:  This allows marketers to manage affiliate programs and partners with features that enable commission payments, program launch and marketing automation (e.g., emails, social media, paid search, etc.) Tools like LeadDyno and OmniStar Affiliate fit within this category. They also help with recruitment, SEO and tracking/reporting.
  • Influencer management software: Influencer management software helps brands identify, manage and track relationships with influencers. Tools like Grin (for eCommerce businesses) and Upfluence help with influencer discovery and outreach, performance tracking, campaign management and payments. 
  • Marketing attribution software: Businesses can use this to attribute results to specific marketing activities using marketing analytics and data. Attribution tools also help marketers understand which activities are driving the most ROI. Tools like Google Analytics and MixPanel focus on website analytics while campaign-specific tools like Sprinklr and Pointillist measure customer journey analytics across all digital marketing channels. 

There’s a lot of crossover with features and functionality among these types of tools. So it’s important to choose a performance marketing platform that offers features specific to your needs and easily integrates with your tech stack.

How performance marketing can help marketers succeed

Performance marketing can be a very effective way for marketers to drive results and grow their business. Instead of paying up front for advertising programs and inventory that may not produce results, performance-based campaigns are a low-risk way to test and measure what’s working (and what’s not.) 

In addition, performance marketing allows you to effectively allocate your marketing budget by only paying for results. This can help stretch the marketing budget further and ensure that every dollar is working as hard as possible to drive ROI. 

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Key benefits include:

  • Trackability:  Performance marketing provides marketers with data and insights that can be used to continually optimize campaigns and improve results. Campaigns are tied to specific transactions and KPIs, so performance can be tracked and reported at a granular level.
  • Diversification: You have the capacity to expand your reach beyond traditional sales channels and revenue streams. It gets your partners and affiliates involved in the success of your business, which can lead to long-term relationships. It also helps you reach new audiences and niche markets in organically discoverable ways (e.g., when an influencer promotes your brand or product to their followers). 
  • Efficiency: It is a low-risk way to grow your business. You only pay for results (e.g., a sale, sign-up, etc.), so there’s no wasted spend on inventory or ad placements that don’t produce results.
  • Creativity: Working with partners, performance marketers can develop unique campaigns and content that resonates with their specific niche audiences. This means you capitalize on new trends, technologies, and channels as they emerge.

What’s next for performance marketing

There are several digital marketing trends converging right now that are impacting the efficiency and ROI of standard CPM and CPC/PPC-based digital marketing programs. 

  • Digital ad fatigue: The average person is exposed to between 6000 and 10,000 ads a day. This is fueling an ad avoidance phenomenon among internet users. Most consumers are proactively avoiding advertising with ad blockers, ad skipping and the consumption of ad-free media. According to Blockthrough, an adblock recovery platform, 81% of people who use ad blockers in the U.S. do so to avoid annoying or intrusive ads.
  • Increased competition: There’s a marked increase in advertiser competition online, as the number of brands and businesses competing for consumer attention continues to grow. Two-thirds of global ad spending will be digital in 2022. According to eMarketer, spend is expected to exceed $867 billion by 2026.
  • Data and privacy issues: Consumer concerns about how companies use their data, combined with an increased need to comply with privacy laws like GDPR and CCPA, are impacting the effectiveness of digital marketing campaigns. Consumers are increasingly aware of their data being collected and used and less willing to click on ads or give up personal information. 
  • The death of cookies:  With the demise of third-party cookies on browsers like Safari, Firefox, and (very soon) Chrome, digital marketers will need new ways to target audiences and track campaigns. This has marketers relying on  first-party data and server-side tracking, or the use of alternative tracking methods like unique identifiers that are privacy compliant. 

Performance marketing, which focuses on quality over quantity, enables marketers to develop unique campaigns on emerging digital channels which tend to resonate more with digital audiences. Since they’re tied to actual results (e.g., sales, revenue and leads), they also deliver a higher ROI. 

These campaigns can also garner a wide reach in terms of impressions, clicks, and views since performance marketing partners use a variety of tactics, including reaching out to their existing networks. 

As a result, performance marketing is poised to continue growing in popularity among marketers looking to drive real results from their digital marketing programs. 

Additional reading

Want to learn more about performance marketing’s capabilities and applications across the digital landscape? Here are some resources to help you improve your practices:


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About The Author

1648711309 919 Why we care about traditional content management systems the original

Jacqueline Dooley is a freelance B2B content writer and journalist covering martech industry news and trends. Since 2018, she’s worked with B2B-focused agencies, publications, and direct clients to create articles, blog posts, whitepapers, and eBooks. Prior to that, Dooley founded Twelve Thousand, LLC where she worked with clients to create, manage, and optimize paid search and social campaigns.

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

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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!

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

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

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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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.”

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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.”

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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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