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Definition, Data Types & Benefits

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Definition, Data Types & Benefits

Amazon advertisers have historically relied on pull-based Amazon Ads API calls to monitor their intraday performance on the platform. In 2022, this manual process was given a literal reporting ‘push’ in the right direction with the beta release of Amazon Marketing Stream.

In this article, we’ll unpack what Amazon Marketing Stream is, how it functions, available data types, why it’s so important for advertisers, and examples and use cases for making the most of it in understanding and optimizing your campaigns.

What is Amazon Marketing Stream?

Amazon Marketing Stream is an advertising data streaming service that sends near real-time hourly metrics about campaign performance to advertisers’ AWS account. Advertisers are able to subscribe to different data sets they would like to regularly monitor for performance insights and budget concerns.

Amazon Marketing Stream’s push-based notifications eliminate the need to manually pull intraday insights from the API, solving for any throttling issues. AMS enables advertisers to improve efficiency in a number of ways, including:

  • Use AWS services natively for receiving and processing performance data
  • Improve data integration patterns
  • Significantly reduce or eliminate the need for multiple daily API calls

As shared by Amazon in the AMS announcement:

“Once subscribed, Amazon Marketing Stream will deliver hourly performance metrics, with details such as targeting expression performance by placement and budget consumption messages in near real-time.”

Data Types Available in Amazon Marketing Stream

AMS provides advertisers with two categories of data—reporting data and messaging data.

AMS hourly reporting includes processed advertising performance data itself—traffic and conversions—and the necessary data dimensions for analytics. Retail data is not currently available in AMS.

Messaging data can be thought of more as alerts. These timely notifications are sent in near real-time so advertisers can act quickly and accordingly.

You can get this info for the following datasets: Sponsored Products traffic, Sponsored Products conversions, Sponsored ads budget usage.

Current messaging includes:

  • Campaign changes
  • Ad group changes
  • Ad changes
  • Targeting entity changes
  • Budget usage updates (a notification is sent if a budget allotment is changed by 5% or more)

AMS also provides advertisers with optimization recommendations for existing campaigns, and suggestions for new ad campaigns.

Why is Amazon Marketing Stream Important for Advertisers?

If AMS was choosing a sorority, we have a feeling it would pledge Tri Delta! Rather than focusing on aggregate metrics, AMS pushes delta values to better illustrate performance fluctuations over time.

For example, if you wanted to see the delta of a given keyword’s performance during the 08:00 hour, your query might look something like the below.

Source: https://advertising.amazon.com/API/docs/en-us/guides/amazon-marketing-stream/overview

In this hypothetical example, the tabular data you could expect that query to return is shown in the below snippet.

AMS hypothetical query output

Source: https://advertising.amazon.com/API/docs/en-us/guides/amazon-marketing-stream/overview

Being able to zone in on the parameters that can have a very real impact on your campaign strategy is essential to staying ahead in an increasingly busy marketplace.

“The more data you have, the smarter, more intentional and targeted you can be in your campaign optimization. Amazon Marketing Stream helps in uncovering the time blocks that are most active and least active for your brand and category, enabling you to efficiently amplify efforts during the chunks of the day that matter most.”

Ben Gemkow

Ben Gemkow, Commerce Media Manager at Tinuiti

New capabilities for campaign optimization

AMS doesn’t just make optimization insights easier to discover and digest; it brings new capabilities beyond what API-based reporting can deliver.

Advertisers using the reporting API are provided with a daily performance breakdown while AMS reporting provides summarized traffic and conversion data hourly. This level of granularity is essential for many advertisers, particularly those who want to zero in on the hours that matter most for consistently reaching their target audiences.

In addition to improved granular reporting, Amazon Marketing Stream provides a greater number of reporting dimensions.

For comparison:

API-based Reports: Show performance at the placement level or ad level
AMS: Show all available dimensions in a single dataset

API-based Reports: Show performance at the target ID, placement level, or ad level
AMS: Show data for all above dimensions together. This unlocks new granular data that isn’t available anywhere except AMS, to include keyword performance for a specific placement

Get timely data for campaign reporting

AMS gets advertisers as close to real-time data insights as possible. Hourly updates are automatically pushed to your AWS account, ready for review whenever you want or need them. This is especially valuable if you have clients who regularly request campaign performance and/or budgeting updates, enabling you to easily consider the most up-to-date information possible in what you provide.

Course-correct campaigns for operational efficiency

With AMS, busy advertisers are given the information they need when they need it, reliably delivered every hour. They don’t have to remember to do an API pull—or worry about potential throttling issues when they do! This makes it easier to more regularly monitor your campaigns for potential issues or opportunities you can address or leverage.

Who is Eligible for Amazon Marketing Stream?

Amazon Marketing Stream is available to Amazon sellers, vendors, tool providers, and agencies like Tinuiti, including integrated partners and self-service advertisers. AMS is accessible via the Amazon Ads API using your existing credentials; all regions supported by the Amazon Ads API have AMS access as of February 2023, including the United States, Canada, and Mexico in North America.

As noted by Amazon:

“Amazon will not charge advertisers any fees to use Amazon Marketing Stream or to store your data in an Amazon-managed service. However, you might incur costs associated with using AWS, depending on the scope of your data. Learn more about AWS pricing.”

Use Cases for Amazon Marketing Stream

Tinuiti’s team of Amazon advertising experts has been experimenting with AMS since its launch, evaluating the best ways to act upon the near real-time insights it provides. Below, we unpack two Amazon Marketing Stream success stories to consider in your own campaigns.

Soda Brand Sees Refreshing Results Through Strategic Intraday Bid Increases

In both the paid and organic search marketing space, improving visibility for high-value, single-keywords or short keyword phrases can be difficult. In addition to single keywords and short phrases having a greater variety of search intent, they also typically have significantly stiffer competition in both quantity and quality.

So what if you wanted to rank for “soda?” And how could Amazon Marketing Stream data help make it possible?

Our Amazon ads team recently set out to answer those questions for themselves during Prime Day 2023. With a goal of increasing visibility and market share for the keyword “soda” for a soda brand client, Tinuiti’s team increased bids during the highest traffic/highest conversion hours of the day.

To determine the best hours to make the most of a bid increase, they identified historical sales data by time of day through AMS.

After evaluating AMS data, the team built a strategic plan to increase bids by 40-55% during key shopping windows, considering both traffic and the likelihood of conversion. As they were simultaneously focused on scaling visibility and growing Share of Voice (SOV) in the account, they did not reduce bids throughout the day.

And now for the sparkling results…

  • SOV doubled (+104%)
  • Traffic and sales volume increased across the “soda” keyword overall, regardless of the specific test campaign
  • The test campaigns were focused in Sponsored Products, and yet we saw stronger sales volume and new-to-brand (NTB) metrics through the corresponding Sponsored Brands

Overall Account Period over Period (PoP)

  • Impressions: +34%
  • Clicks: +73%
  • Spend: +96%
  • Sales: +273%
  • NTB Units: +570%

Test Campaign PoP

  • Impressions: +29%
  • Clicks: +46%
  • Spend: +74%
  • Sales: +120%

“Optimizing based on AMS Time of Day Insights had a direct positive impact on both the focus keyword and the account overall as it allowed us to capitalize on high-conversion times of day and stand out when we knew the customer was most interested.”

Jessi Shapp

Jessi Shapp, Sr. Specialist, Marketplaces Search at Tinuiti

Intraday Bidding Helps Boost Book Sales for Author

Our Amazon ads team wanted to increase revenue for top evergreen titles written by a specific author for a publishing client. Using AMS data, the team was able to determine which specific days and times were likely to yield the best results.

After identifying the overall busiest days—and specific hourly windows on given days—the team built an intraday bidding plan that would increase bids by 15-30% during these heightened hours of opportunity. The additional percentage amount allotted to each boosted hour (between 15-30%) considered traffic, with bids never being decreased below their typical amount.

You don’t have to wait for the sequel to read all about the results…

  • Impression Change: +73%
  • Clicks Change: +56%
  • aCPC Change: -6%
  • Spend Change: +66%
  • Sales Change: +72%
  • ACOS Change: -2%

“I was really surprised by the results of this test. While I expected to see impressions and sales increase, the scale at which we immediately saw improvements was beyond what I had expected. This really emphasizes the importance of meeting your shoppers where they are at on Amazon and making sure you get your products front and center when you know they’re doing their browsing/shopping.”

Nicole Cooper

Nicole Cooper, Senior Specialist, Marketplaces Search at Tinuiti

The team plans to take their learnings from this campaign into the holiday season, expanding intraday bidding to more seasonal campaigns where bid adjustments would be happening much more frequently/at higher percentages—and overall Amazon competition is much more aggressive.

More Data is Better (over-optimization isn’t)

The greater granularity of data offered by Amazon Marketing Stream is undoubtedly advantageous for brands and advertisers. However, while it’s important to gather and analyze that data, you shouldn’t always rush to make changes based on it. Remember that you don’t have to act on every insight; some performance fluctuation is a natural part of advertising.

It’s also important to give the data collection enough time to offer statistically significant insights. AMS can be a crucial discovery tool whose findings help shape your campaign through different optimization levers.

Ben Gemkow, Commerce Media Manager at Tinuiti, explains:

Ben Gemkow

“Our teams are primarily leveraging Amazon Marketing Stream to better understand when we should allocate more budget during certain periods of the day. Most of the time, this includes an overnight budget reduction and spend increase during the morning, day, and/or early evening, but it truly varies by client and category in ways we couldn’t as easily determine before AMS.

Other ways we’re utilizing AMS data in campaign optimization is through more strategic use of features like dynamic bidding. Through down-bidding we can be more conservative during times when a conversion is less likely, only increasing our bid in auctions where we’re confident we’re going to win. This is an especially helpful efficiency boost for clients who already have strong consumer awareness, or aren’t as concerned with new-to-brand growth in particular.

On the flip side—for brands who want to grow visibility even in instances where they might not win an auction—we can bid more aggressively through dynamic bidding to help get their name out there and in the running.

Or maybe you have a moderate mix? In any scenario, intraday bid adjustments are a valuable tool but aren’t always necessary if you’re savvy with your bid placements and are really in tune with your dynamic bidding model. In combination with bid rules, dynamic bidding, and top-of-search placements, intraday bidding can become another part of your overall bidding strategy, not a full replacement. Take time to digest and react strategically rather than overly responsively to the larger patterns and trends AMS data unlocks for you.

Conclusion

Amazon Marketing Stream provides advertisers with near real-time performance and budgeting updates that facilitate making the most efficient, strategic optimizations possible on the platform. Rather than requiring an API pull, these updates are automatically pushed to the designated AWS account hourly.

To learn more about AMS, check out the Amazon Marketing Stream onboarding guide. To learn more about how Tinuiti can help you realize Amazon selling success, contact us today to chat with an expert!

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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.”

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.”

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