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Top 7 Metrics You Need To Track Today!

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Top 7 Metrics You Need To Track Today!

Creating an extensive list of potential leads is fantastic, but if those leads aren’t converting into paying customers, you’ll have a lot of trouble in the long term.

That is where lead conversion comes into the picture. Lead conversion means converting a lead into a customer, meaning that the lead has been successfully persuaded by your marketing campaign and will make a purchase from your company.

It can be difficult for marketers to generate leads, so it is essential to have them and know how to convert them.

A recent marketing study conducted by researchers found that only 12% of marketers surveyed feel confident and satisfied with their lead conversion knowledge and capabilities.

Knowing that such a low number of professional marketers feel satisfied with their capabilities is a very alarming thing to witness.

So what needs to change for things to get better? Hence we have compiled a list of all the fundamental metrics of the lead conversion process so that marketers can understand how to track and improve their lead conversion strategies.  

What is Lead Conversion?

Lead conversion is the process of turning a lead into a customer. It is an essential part of any sales and marketing strategy. To achieve lead conversion, you need to understand the needs and wants of your potential customers and how to match those needs with your products or services.

It is not easy to convert leads, and it takes time, effort, and strategy. Many things need to be done to convert leads, but many things can go wrong. Lead conversion is not a one-size-fits-all process. The best way to convert leads depends on the type of industry, how many leads you have, and their stage in the sales funnel.

Why Is Lead Conversion Important?

Lead conversion is essential for several reasons. For one, it is the most critical part of the sales process. This is because, without conversion, there is no sale. Lead conversion also helps to improve marketing and sales efficiency by ensuring that qualified leads are converted into customers.

Lead conversion is the process of turning a lead into a customer. It can be done by converting the lead to a sale, or it could be done by converting the lead to an opportunity.

Many people think that they can generate leads, and then they don’t need to worry about sales or marketing. But if you’re not turning those leads into customers, then you’re wasting your time and money on generating those leads in the first place.

What Are Lead Conversion Metrics?

Lead conversion metrics allow you to objectively measure your marketing and sales teams’ success in generating leads converting them to customers and efficiently.  

Your marketing team may be doing some great things, but are they as efficient as they could be? To find out, you need to measure your lead conversion metrics. Measure how many new leads your marketing brings in, how many of those are converting into customers, and how long it takes for each customer to become a paying customer.

Lead conversion metrics are essential aspects of the process of lead conversion as they tell a powerful story. While the discussion of lead generation and conversion strategies are crucial, what we need to focus on are the metrics that will enable you to determine whether a given lead conversion tactic is successful or not.

Fundamental Lead Conversion Metrics: Top 7 You Need To Track

The goal of lead conversion metrics is to enable you to understand better how well your campaigns are performing and to measure their growth and success objectively. The only way your campaigns are going to perform well, is if you manage your time and resources accurately. Remember that lead conversion is a constantly evolving endeavor, so do not take any metrics at face value and always compare them to your relevant industry standards for better performance assessment.

#1 Cost Per Conversion

Cost Per Conversion is the total cost of generating a lead and converting that lead into a sale or other desired outcome. Cost Per Conversion is the total cost of generating a lead and converting that lead into a sale or a different desired outcome. It can be calculated by taking the entire marketing spend and dividing it by the number of conversions.

Cost per lead converted is a measurement that can be used to evaluate the effectiveness of different marketing strategies and tactics. It helps determine what marketing campaigns are worth their cost and which ones are not. Tracking this metric allows you to quickly gauge the effectiveness of your conversion campaigns, and understand if it is good enough.

#2 Lead Value

Lead conversion is the process of turning a lead into a customer. Any business needs to know how to convert leads into customers as it is the only way to grow their business.

Lead value is a metric that can be used to determine the potential of a lead. Leads are usually evaluated by their conversion rate, the percentage of leads that convert into customers.

Leads can also be evaluated by their potential to convert into customers. This metric is called lead value, and it takes into account factors such as the cost of generating the lead, how much time it takes a salesperson to close a sale and what they earn in commission for doing so.

#3 Conversion ROI

Conversion ROI is the ratio of leads generated to the cost of generating those leads. Lead conversion is the number of people who eventually convert into customers. Conversion ROI is calculated by dividing the total revenue generated by the total cost spent on generating those leads. It’s a way to measure how much profit was earned with each generated lead.

Conversion ROI is a metric that tells you how much money you are earning from every dollar you spend on marketing and advertising. A good conversion ROI will show that your marketing efforts are worth it and that you are getting as much value from your investments as possible.

#4 Lead Conversion Rate

Lead conversion rate is the percentage of people who have expressed interest in a product or service and then purchase it. Lead conversion rates are an essential metric that helps them understand how well their marketing is working.

For example, if a company has 100 leads and 10 of those leads convert into sales, the lead conversion rate would be 10%. A lead conversion rate can be calculated by dividing the number of conversions by the total number of leads.

#5 Lead-to-Sale Conversion Rate

The lead-to-sale conversion rate takes things a step further by determining how successfully you convert a lead into a paying customer. This rate is significant to marketers and salespeople since it indicates how many leads turn into sales and generate revenue.

This statistic is calculated by dividing the number of converted leads (those who buy) by the total number of leads. In the previous example, your lead-to-sale conversion rate is 25% if 5 of the 20 leads to purchase.

#6 Lead-to-Opportunity Conversion Rate

Lead-to-Opportunity Conversion Rate is the percentage of leads that convert into opportunities. It is one of the most important indicators of your marketing success. To increase the lead-to-opportunity conversion rate, it is essential to get more qualified leads.

You need to identify your target audience’s pain points and needs and then create marketing campaigns that address those needs. Leads and opportunities are two critical metrics in B2B marketing. They measure how effective a company’s marketing efforts are in generating and converting leads into customers. The higher the lead-to-opportunity conversion rate, the better for a company’s bottom line.

#7 Time to Conversion

Time to conversion is a metric you may use to determine how long it takes for a visitor to your website to convert into a lead. You divide the entire amount of time spent on your website by the total number of leads. It’s a terrific approach to see if there are any entrance points on your website that might be improved for lead generation. Again, a longer duration could indicate that your visitors are taking their time to consume your material, which isn’t necessarily bad.

Wrapping Up: The Importance of Lead Conversion Metrics

Lead conversion metrics are essential because they help marketers and sales executives make better decisions about their marketing campaigns. The data can help them understand what is working and what is not working, making changes to their campaigns accordingly. Accurate measurement of lead conversion rates can help optimize marketing campaigns by focusing on what is working and what isn’t.

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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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