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Why your clients struggle with marketing reporting

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Why your clients struggle with marketing reporting

Why your clients struggle with marketing reporting

28% of small business owners have no visibility into how their marketing agency uses their budgeted spending. The last thing your clients want to do is chase down reporting across multiple tools and channels and try and make sense of it themselves.

The biggest value you can provide to your clients as an agency is transparent and actionable reporting. And in this article, we’ll walk through the top pain points small business owners experience and how you can provide the right reporting to enhance trust and retain more clients. 

Problem #1: Your clients lack insight into their most effective marketing campaigns and find it difficult to budget for the next year. 

Usually, a marketing strategy involves multiple channels, such as digital ads, organic and paid search, marketplace listings, offline outreach and so on. But when you multiply that by the number of campaigns an average business runs in a year, reporting can easily get out of hand.

If you or your client lack the right tools to effectively manage and gather this data in one place, you have to pull from different reports from different platforms to piece together a cohesive data story. Therefore, the lack of insight makes it very difficult to properly plan next year’s campaigns based on the successful campaigns of this year.

The solution: Build a report with a tool like CallRail’s Multi-touch Cost Per Lead Report. It ties all of your lead sources’ data together across every channel where your client markets. The report will tie in your inbound calls, texts, live chats, and form submission data to attribute leads to online and offline marketing efforts. From there, you’ll be able to see which campaigns earned the most revenue for your clients, and those campaigns will help inform future campaigns. 

Problem #2: Your clients aren’t clear on where their inbound phone calls are coming from and can’t tie them back to the right marketing campaigns. 

Remember those days when sales reps would make between 50 to 100 calls a day, without proper reporting in place? And think about how easy information can get lost in the process, especially if your client is relying on their reps to ask “How did you hear about us?” 

To understand marketing campaign effectiveness, you need to know where those inbound leads are coming from, whether it was your client’s Instagram ad, email outreach, bus wrap or any other channel. A full timeline of the lead’s journey can be incredibly helpful for understanding campaign success and improving the lead experience, too — turning more leads into customers.

The solution: Build a report that provides insight into the sources and interactions that drive traffic and generate inbound calls, texts and chats. With something like CallRail’s Call Attribution Report, you’ll be able to share the entire customer journey, which campaigns are most successful when it comes to generating new customers and revenue, and which campaigns could use some work in the new year.

Problem #3: Your clients aren’t able to identify which keywords are successful for their marketing program. 

A clear understanding of ROI is crucial for marketers in any size organization. With call tracking and analytics tools, you can help your clients figure out which marketing campaigns and keywords are converting leads and driving new business.

But, it’s challenging — not only for your clients but for you and other agencies as well. You might not have visibility into your client’s interactions with their customers and might not be able to fully understand the common language of that business or industry. So, you can see how this makes reporting on certain keywords and phrases difficult.

The solution: Build a report that provides a full breakdown of targeted key terms and phrases that are used the most during your client’s business calls, such as a tool like CallRail’s Key Terms Spotted Report. From there, you can provide your client with a list of calls containing those key terms that were marked as qualified leads. 

Quick tips when building reports

  1. Use the right tools and grow with your client and their needs over time. Keep in mind that your reporting will change as your client grows revenue and expands marketing efforts. 
  2. Set the right goals from the beginning and establish a baseline. KPIs will help you and your clients track success and identify areas for improvement. And with a baseline, you can easily show growth and prove your agency’s value. 
  3. Make sure that your client’s data tells a story. Numbers are great, but what’s the meaning behind them? How do they tie into the bigger picture? Be clear on your reporting to your clients and actionable steps they can take from those reports. 

Support your clients and grow your revenue with the CallRail Partner Program

Your clients rely on you to provide reporting that’s clear and transparent, actionable and translates to improved ROI. As a CallRail partner, you’ll help your clients succeed with all of the reports and insights we’ve discussed with the bonus of support from the CallRail team and a dedicated account manager. 
Earn a 20% monthly revenue share, become eligible for quarterly cash bonuses, and grow your business — and your clients’ businesses — by becoming a CallRail Partner today.


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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