Connect with us

MARKETING

5 steps to make the most of your reporting and analytics

Published

on

5 steps to make the most of your reporting and analytics

Every Monday morning, two marketing groups in two different companies get a standard report.

One marketing team reads the report and then usually convince themselves that the data is wrong because their campaigns are working. What other reason could there possibly be for this quarter’s 10% growth in revenue?

The other marketing team devours the report by noting trends in web interactions, analyzing attendees’ reactions to their last podcast and checking the number of sales-closed opportunities. Their revenue is also growing by 10%.

Then, something happens (merger, stock market decline, pandemic, war – fill in the blank). Which team do you think recovers the quickest by adjusting their marketing plans?

That’s an easy question. Of course, it’s the team analyzing their data every week. They will know which market segments will be most impacted by the “event” and what tactics will need to be adjusted. They will see declines or movements in their trends, allowing them to validate their tactic changes and fluctuations in results with data. 

These five steps help ensure that your data provides you with actionable information and enables you to guide your marketing efforts. 

1. Start with the basics

Before you dive into your weekly or monthly marketing report, here’s what to consider as you become a better champion of reporting and analytics.

  • Source:  Know where you are getting your data. Your data source should include your transactions for clicks, searches, website registrations and sales interactions. A CRM system should give you numbers for marketing produced or sales accepted opportunities, closed marketing opportunities and revenue generated by account. In addition, other sources of data from SEO vendors, intent data vendors and industry-specific data suppliers should also be noted on your reports, and you should know how this data affects the numbers.
  • Quality:  Know what the quality of your data is at the source. The IT or data organization should provide insight into the quality of the data used, at least monthly. This is especially important if you are doing deep-dive analytics or predictions on the information. For example, if you are trying to predict which products will be selling the best in the next quarter, you will have to be assured that you have at least a year or two of good, complete and accurate data. Prediction needs solid information to predict with higher accuracy. Asking these questions of the reporting team helps:
    • How many duplicates are in the data this month?
    • How has the accuracy improved or declined?
    • Any anomalies occurred that would prevent consistent trending? Anomalies such as product introduction, new data feeds and system changes should be noted and explored.
  • Timing:  Know when the data was pulled into your report. This often requires understanding the entire process, from data entry to reporting. For example, if you are collecting email addresses and permissions in one area of your business, but it takes two days to collate and make that data available in the reporting system, then you may be missing information at a crucial time. Since weekly marketing reports are primarily on what HAS happened, you need to make sure that they reflect the happenings accurately. It’s just a best practice to put a date on the data itself and the report, especially if your systems have lags in the automated processes.

Get the daily newsletter digital marketers rely on.


2. Anchor on the revenue

Both teams have the right idea about what really counts in marketing – sales. They are both looking at the company’s revenue because that is usually an overall corporate goal. But just because the revenue is on track doesn’t mean that marketing had anything to do with it. The sales team will be the first to point that out. Revenue should be the North Star for all marketers. 

Analyzing where revenue comes from is one of the most important tasks of marketers. This requires some deep-dive analysis of the buyers and their transactions.

Once at a large, high-tech computer company, my team was asked to segment different products. The overall corporate belief was that small and medium businesses did not buy our high-end products. By analyzing the data, we discovered that SMBs did indeed buy our high-end products, but not as often and not directly from us. Because they needed support in implementing the products, they purchased them from a reseller or systems integrator (SI) at a premium. The two-tier distribution hid from us the fact that they were purchasing. Resellers and SIs, at the time, were not required to share end-user information.

Looking at your overall revenue and where it comes from can help you fine-tune your marketing engine. Look at regions and how they are performing. Look at products – which are moving and which are not. Evaluate purchases within industries or departments within companies. 

Revenue is the goal of all marketing efforts, but many organizations struggle to link marketing to the revenue generated. A close working relationship with sales helps drive this connection.

3. Let trending tell you where you’re headed

Evaluating your marketing data over time is very important because it’s a sad fact that marketers tire of their marketing message long before our customers do. Today’s digital world adds another dimension to this, however. Marketers can often see in real-time what a customer’s reaction might be to a given message. This lulls marketers into believing that all messaging is direct and instantaneous. But unless the customer purchases because of the message and you can measure that purchase, you shouldn’t just abandon your message or strategic direction.

That means that our messaging may not immediately affect and cause a massive purchase of our products just after we drop our first campaign. It’s likely after 5 to 10 campaigns of the same message and intent – you see upward trends as your message is received, absorbed, and acted on. Therefore, looking at marketing trending is so important. 

Trends can tell you if your customers are picking up on your messaging and purchasing your products or services, but they can tell you about the pace at which this is happening. This is often a good signal for marketing managers to relay to sales or service teams, to tell them when they might expect an influx of inquiries, sales, etc.

4. Evaluate tactics as a whole

Integrated marketing means your messaging and how you distribute the message are coordinated. You have many tactics: email, events, SEO, website clicks, etc. And each of these can have a multitude of additional metrics. For email alone, you can have delivery rate, open rate, click to open rate, conversion, bounces, spam complaints, etc. Although these metrics may aid in helping you to manage your efficiency, they do not always help with marketing effectiveness.

HubSpot has a great template for evaluating marketing tactics. It looks at numbers for reach across all your social sites such as Twitter, Instagram and LinkedIn, number of visitors to your sites, leads generated, customers and conversion rates for tactics. Looking at tactics as a whole can give you a much better picture of the effect of your overall efforts.

5. Pay close attention to your customer’s experience.

Fortunately, today we have systems that allow us to measure the social effect of our marketing. In other words, what are your customers’ feelings about your product or service? This data is often overlooked in marketing reporting and analytics because it is “fuzzy data” and sometimes hard to manage or interpret. However, this information is crucial. 

Take, for example, Dell. This large technology company has built a state-of-the-art customer feedback center in India that monitors customer feedback constantly across the entire web. They can almost instantly tell how new products or services are being perceived and where their biggest issues are across the globe. Customer comments are aggregated for actions that are sent immediately to service representatives. 

Customers are talking about your products every day. If you don’t have a way to hear those comments, you are disadvantaging your company.

Take action

The greatest lesson to take from this look at marketing reporting is that knowledge is only transformed into wisdom through use. Being a marketing expert means that you understand your metrics and the data behind them. Many marketers get lost in the number of metrics that they record. That’s where we go back to the goals and make sure that all our metrics are closely tied to the company’s goals and marketing goals. Ultimately, your reporting needs to roll up to an executive, the person most likely to be evaluating marketing overall. 

Read next: How to choose a marketing analytics platform

Laura Patterson, CEO of Visionedge Marketing, a marketing metrics company, says that at the executive level, you need only a handful of core measurements that fall into these categories:

  1. Marketing contribution to sales
  2. Customer movement – acquisition, retention, value
  3. Efficiency improvements
  4. Bottom line: Marketing’s financial contribution and ROI

Carefully understanding your data, evaluating the metrics you establish for marketing, communicating the effects of those metrics and taking actions guided by them helps you as a marketer gain a strong reputation as a contributor to your company’s growth.


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About The Author

5 steps to make the most of your reporting and

Theresa Kushner is passionate about data analysis and how it gets applied to today’s business challenges. For over 25 years she has led companies – like IBM, Cisco Systems, VMware, Dell/EMC – in recognizing, managing, and using the information or data that has exploded exponentially. Using her expertise in journalism, she co-authored two books on data and its use in business: Managing Your Business Data: From Chaos to Confidence (with Maria Villar) and B2B Data-Driven Marketing: Sources, Uses, Results
(with Ruth Stevens). Today, as the Data and Analytics practice lead for NTT DATA, Theresa continues to help companies – and their marketing departments — gain value from data and information.


Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

MARKETING

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

Published

on

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!

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

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

Published

on

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

Amazon pillows.

(more…)

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

A deeper dive into data, personalization and Copilots

Published

on

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.”

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending