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Where There’s a Goal, There’s a Way: 4 Strategy-Led Content Programs

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Where There’s a Goal, There’s a Way: 4 Strategy-Led Content Programs

This much-repeated mantra bears repeating: You can’t succeed at content marketing unless you know what goals you’re trying to achieve.

It’s not easy to distill the potential benefits of content marketing into one laser-focused goal. Yet, nailing down your driving purpose makes it easier to explore new possibilities to achieve it.

Nailing down your #content’s purpose makes it easier to explore the possibilities to achieve it, says @joderama via @CMIContent. Click To Tweet

Want proof? Look no further than the accomplishments of the 2022 Content Marketing Awards strategy category winners and finalists.

These examples illustrate how strategy-led campaigns can amplify a brand’s persuasive power, excite its audience, and achieve goals at every stage of the buyer’s journey. Though their industries, audiences, investment levels, and creative approaches differ, each offers a lesson to guide your content marketing efforts.

Goal: Brand awareness

Brand: Glenfiddich

Media partner: Forbes

Approach: Distill data, storytelling, and multiplatform distribution into a content cocktail that shifts audience perceptions.

Single-malt Scotch whisky is a strong drink strongly associated with powerful pop culture characters like Mad Men’s Don Draper, Anchorman’s Ron Burgundy, and Parks and Recreation’s Ron Swanson.

But does the liquor’s strength give it the power to win the preferential attention of high-net-worth individuals and discerning spirit connoisseurs? That was the goal Glenfiddich, a luxury whisky distiller, aimed to achieve with an integrated multimedia campaign built around the 40th anniversary of the Forbes 400 list.

The compelling pitch for their novel premise? It’s time to redefine what it means to be wealthy and successful.

Glenfiddich kicked off the campaign with an original research study, Professional Success in America: Personal Priorities and Social Misunderstanding. It probed U.S. attitudes on the characteristics that define success. The brand created its inaugural #Richest25 List, profiling influential achievers who embody those characteristics.

@GlenfiddichSMW conducted an original research study as part of its #ContentMarketing plan to capture a wealthy and successful audience, says @joderama via @CMIContent. #CMWorld Click To Tweet

The resulting stories were published and promoted across media partner Forbes’ ecosystem. Assets ranged from premium branded content and editorial stories on the Forbes website to social media ads and a print sponsorship of the Forbes 400 issue. That included ads that raised thought-provoking questions, with an overlay of Glenfiddich’s stag logo as illustrated in the image below with the phrase, “Title or respect? Ask yourself, what’s next?”

1663719603 23 Where Theres a Goal Theres a Way 4 Strategy Led Content

The key concepts and related imagery were incorporated into Glenfiddich’s website content and product pages to tie everything back to the brand’s Scotch whisky.

Results: According to Forbes, the integrated program garnered over 20 million cross-platform impressions. It also changed perceptions: Glenfiddich saw a lift in brand awareness (18%), identification as a luxury brand (60%), and association with the stag logo (25%).

The content features received nearly 300,000 views – over 2,700 came through organic search. Further, the magazine Fortune 400 issue reached over 3.8 million readers, with 77% taking action after seeing the ad creative.

This project won the Most Innovative Content Distribution Strategy category.

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Goal: Increase reach

Brand: McCain Foods

Media/agency partners: Food24, New Media

Approach: Combine print and digital technology to forge a personal, long-lasting connection with consumers.

While brands commonly scale their reach and engage new audiences in the digital space, don’t overlook the power and appeal of old-school techniques like print. They can help you forge a more personal and tangible connection with consumers.

Then again, why not blend the storytelling advantages of both mediums? That’s the idea behind the creation of McCain Family Cookbook Brought to You by Food24 – a first-of-its-kind direct-to-consumer cookbook delivered through a print-on-demand platform.

Frozen foods brand McCain approached South African foodie site Food24 to drive reach among family meal decision-makers. Food24 (with help from its content marketing agency, New Media) answered the call by developing a personalized cookbook creation tool. Shared with the Food24 audience on its website, the tool was promoted through social media, newsletters, and additional articles and video content.

As explained in the campaign video above, the Cookbook Creator tool lets users upload six favorite family recipes, along with notes and photos. Then, they chose a recipe category and named their book. Top recipes from Food24 and McCain were added to round out each collection. Each book was printed and delivered to the consumer who created it.
Food brand @mccainfoods let consumers create personalized cookbooks, uploading six of their family recipes and adding ones from the brand and @food24, says @joderama via @CMIContent. #CMWorld Click To Tweet

The effort helped position McCain as a mealtime thought leader while providing Food24’s audience with an innovative and exciting interactive feature. Further, the printed cookbooks brought the McCain brand into people’s homes, creating a lasting physical touchpoint.

Results: According to the agency New Media, the effort received 1.4 million banner impressions (far exceeding its target KPI of 400,000), reached 4.3 million consumers on social media, and achieved a 13% conversion rate.

This project won the Best Use of Technology as Part of a Content Marketing Program category.

Goal: Lead nurturing

Brand: Epcon Communities Franchising

Approach: Deliver a targeted, print-based pitch – with a customized digital twist.

B2B brand Epcon Communities Franchising provides designs, expertise, and sales support. It enables real estate developers to capitalize on an underserved demographic – buyers 55 and older looking to downsize their homes and enjoy life among a community of their peers.

Franchised adult communities are a fast-growing industry sector, but they are a relatively new business model for builders and construction companies. Many of Epcon’s prospects may have little experience with these projects. That challenge, when combined with the development time and financial investment involved, makes overcoming customer reluctance difficult.

To establish credibility among this B2B target, deliver helpful education, and accelerate its path from qualified lead to converted customer, Epcon launched a unique video mailer campaign.

Knowing consumers often throw away traditional print mailers without reading them, Epcon gave the mailing an eye-catching digital upgrade. A 5-inch video screen turned the average brochure into a deeply immersive storytelling vehicle, as shown in this image:

Where Theres a Goal Theres a Way 4 Strategy Led Content

Using an account-based marketing strategy, Epcon sent the mailers to select high-value prospects. It also customized the audio and visual content for each recipient.

Upon opening the brochure, prospects could click play on the screen to view four installed videos. They included critical company information, testimonials from franchise builders and home buyers, and interviews with company leadership.

Results: Through this persuasive, immersive, and educational campaign, Epcon put the right content in front of the right prospects at the right time. After its launch, the company achieved an 84% follow-up contact rate with prospects and exceeded its franchise builder sales projections by more than double.

This project was a top finalist in the Most Innovative Content Distribution Strategy and Best Use of Technology as Part of a Content Marketing Program categories.

Goal: Customer satisfaction and loyalty

Brand: ServiceNow

Approach: Combine email automation with behavioral modeling to deliver the best post-purchase guidance.

Good content marketers address consumers’ informational needs at each step of their buyer’s journey – from initial awareness through final purchase. But great marketers reinforce their brand’s value by delivering relevant, helpful guidance long after the purchasing checks have cleared.

Enterprise software provider ServiceNow efficiently fulfills that promise through its telemetry data-driven digital customer journey (DCJ) program. The platform delivers the precise information and assistance each customer account needs to implement their purchases more quickly, optimize their usage, and maximize their brand satisfaction.

ServiceNow uses automated behavioral marketing to deliver personalized email content across a broad range of finely targeted audiences. Those segments span the three stages of Service Now’s post-purchase lifecycle – initial onboarding, activation and deployment, and renewal and expansion.

For example, ServiceNow analyzes product usage and applies telemetry data and modeling to categorize mid-cycle customer accounts into groups defined by usage level: no use, low use, medium use, or high use. ServiceNow uses its marketing automation system to identify and deploy the appropriate email content for that account. It also automatically pauses email delivery until the customer completes the call to action from the previous campaign.

Results: ServiceNow reports excellent email performance metrics, with global open rates of 53% to 61% and click-through rates of 10%-16% across all digital customer journey campaigns in 2021. More importantly, these targeted accounts use their products 70% more than ServiceNow’s baseline (non-targeted) accounts.

This project was a top finalist in the Strategy – Best Content Marketing Program, Best Content Marketing Program in Technology, and Content Marketing ROI/Measurement Program categories.

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A clear strategy opens up endless possibilities

These four brands achieved remarkable outcomes by remaining focused on a goal and using a combination of creativity and tech ingenuity to fulfill it. Don’t have a documented content marketing strategy on hand to guide your brand’s efforts? Check out our strategy hub for all the insights, tips, and tools you need to create one.

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Want more content marketing tips, insights, and examples? Subscribe to workday or weekly emails from CMI.

Cover image by Joseph Kalinowski/Content Marketing Institute



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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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