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How to tell a story with data and elevate your client reporting

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How to tell a story with data and elevate your client reporting

In 2009, anthropological researchers made $8,000 on trinkets for which they paid just $1.25 each. What made these items feel valuable to buyers? Each trinket was accompanied by a compelling story written in the item’s eBay description. 

The fact is, stories sell — whether you’re explaining s a product or, in your case, a data set.

Learning how to tell a story with data is an important skill for proving your value to your clients; it’s how you earn their trust, sell them on your services, and get repeat business. To tell a story with data, you need to look at your raw data as pieces of a grand story yet to be told. Establish a thesis, develop a narrative, craft the story, and tell that story through powerful visualizations to engage clients.

First, find a narrative within the data. Look for what your data “tells you.” That becomes the thesis of your story — your argument.

Then start forming questions about what the data is saying, identify trends, and form a hypothesis. Ask yourself the following:

  • What are you trying to explain with the data? Your thesis should answer this.
  • What are your goals? Your goals are what you’re trying to argue for or prove with your story.
  • What is the conflict in your client reporting? This will identify the central point of the story, the conflict.
  • Are you trying to get buy-in? Answering this question will help you determine how you frame your story.

After you’ve done this, look for correlations, identify trends, identify outliers and draw comparisons. These insights will form the foundation of your story.

Tailor your narrative to your audience to make sure it applies to your client. Let’s say you’re working with marketing managers who want to know how their content is performing. In this case, you’d want to tailor your narrative so that it focuses on metrics or data that are important to content marketing, like email opens or search performance.

Personalizing client reporting and telling a story with data are good ways to build trust with clients — they’ll buy into your insights more, which is good for them and for business, as it helps the client see themselves as the main character. Additionally, tailoring your narrative helps create a shared understanding of that data. It’s a way to “put everyone on the same page.”

Tailoring your narrative requires you to do a little preliminary research on your client. First, start with the audience you’re presenting to. It might be marketing managers, or it might be executives, but the point is that different audiences have different goals in mind, so you need to have different angles for each audience. This blog post explains it best: “Different employees, stakeholders, and departments want to see different data, even if they care about the same general KPIs (key performance indicators).”

It makes more sense to talk about overall business goals and performance with a chief marketing officer because they’re the ones with the power to make strategic decisions. Use the same language that your audience would use, and be sure to speak in concrete terms — no more “good,” “bad,” or “better.” Those are loose terms that leave a lot of ambiguity on the table. Focus on attributing success or failure to the brand’s overall business goals and use language that describes that success in concrete terms you can back up, like “increased or decreased” instead of “good or bad.”

Visuals could be any graphical representation of the data: flowcharts, bar graphs, funnels or infographics. You can use visuals to draw comparisons between two different points of data, making it easier to tell your overall story. Additionally, visuals are great for communicating with non-technical audiences — more often than not, they’re your key decision-makers.

How to tell a story with data using visual content:

  1. Choose a visual that tells the story — try not to clutter your report with unnecessary charts or graphs.
  2. Include a zero baseline so you can more effectively demonstrate fluctuations in data.
  3. Choose the appropriate visualization for the type of data you’re displaying, so the audience only has to glance at the content to understand it.

Crafting a story through client reporting requires you to approach the data like an author would approach the loose fragments of a story — things like context, characters, conflict and solutions. It’s your job to tie them all together in a linear fashion. Here’s how:

Set the context for the story. What is the situation, and why are you telling your audience about it? Craft an engaging hook to get your clients involved. Good hooks — especially ones that involve the client — are great ways to kick off your client reporting and get your clients engaged.

Create characters. Ask yourself: “Who are the key players that are involved?” This will help you define your audience further. If you can position your clients or their business as a character, you’ll have a more compelling story on your hands.

Lay out the conflict. The conflict is the crux of your story, or in your case, it’s the issue at hand that your data has revealed. At this stage, it’s fair to really dig into the data and set up the conflict as something that directly involves the characters (your clients). Even if you’re reporting positive performance, you can still use this as an opportunity to make projections about your client’s growth or what they could achieve under your guidance. Setting up the conflict introduces the problem you’re trying to solve, which then lends itself to your next step: the solution.

Offer a solution. You’ve set the context for the story, identified your clients as the main character, and put their org’s performance at stake during the conflict stage. Now it’s your turn to offer solutions for said conflict. This is your opportunity to both solve the client’s problem and make a case for the value you provide.

If you struggle with sourcing dependable, high-confidence data to craft your stories and prove the ROI of your services, try a marketing attribution software like CallRail. Attribution software uses a variety of techniques, such as call tracking, form tracking, and conversation intelligence, to determine which marketing strategies and campaigns are most effective at bringing in quality leads.

Try it today by signing up at callrail.com.


About The Author

1649675148 758 Why your clients struggle with marketing reporting

CallRail makes it easy for businesses of all sizes to turn more leads into better customers. Serving more than 200,000 businesses and integrating with leading marketing and sales software, our marketing analytics and business communications solutions deliver real-time insights that help our customers market with confidence.

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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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