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Why we care about RevOps: A marketer’s guide

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Why we care about RevOps: A marketer’s guide

The siloing of marketing and sales has never been good for business, and organizations are starting to agree. That’s given rise to RevOps, short for revenue operations, which is a relatively new organizational structure that seeks to improve alignment between marketing, sales and customer success by bringing separate operation teams together, establishing one reporting line and driving common revenue goals.

The rise of RevOps comes as companies realize that providing a stellar customer experience across all interactions from marketing, sales and service is key to driving revenue. And as customer journeys become more complex and more digital than ever, an alignment model like RevOps can ensure all teams are operating with shared goals and strategies.

But while the high-level promise of organizing these teams in RevOps models is attractive, these are still in the early phase of adoption and are being embraced in different forms by different brands.

This article provides an overview of what RevOps is, why organizations are rapidly embracing the concept, and how you can start taking steps toward implementing RevOps in your organization. We’ll cover:

Estimated reading time: 10 minutes

What is RevOps?

RevOps brings together people, processes, and data from across various departments in an organization, aligning them on three common goals::

  • Increasing profits by maximizing customer conversion and profit margin on sales. 
  • Cutting costs across various departments.
  • Finding new opportunities for revenue generation.

With RevOps, you have a dedicated function solely focused on analyzing and overseeing revenue maximization opportunities across the entire organization and customer life cycle.

What’s causing the rise in RevOps?

Traditionally, disconnected sales and marketing teams were the norm and seemed to be working well enough. Each department was expected to work toward meeting its own goals with little to no involvement in the financial and operational planning of another department.

However, this resulted in frequent miscommunication, duplicated efforts, and inconsistencies. Not to mention it only gets messier as you scale up and provide more offerings. There was a clear need for a better, more comprehensive business function that can maximize marketing budgets and user experience without causing big dents in the company’s operational budget.

RevOps is the perfect solution for this because it: 

  • Helps cut costs and save on the company’s overall expenditure. 
  • Looks for new opportunities for revenue generation.
issues revops is designed to tackle

How to ensure your RevOps team is successful

Revenue operations, like any other business function, needs to be implemented properly or else it runs the risk of failure. A survey of 270 B2B professionals in the US by RevOps automation vendor Openprise suggests RevOps is falling short and has yet to solve the long-established problem of aligning sales and marketing teams. So, how do you ensure your RevOps strategy is successful?

Let’s start with their fundamental structure. RevOps aims to link marketing, sales, and customer success. Both that doesn’t mean the entirety of those teams is linked into one gargantuan RevOps team. Rather, RevOps teams are compiled by linking key operations talent from within sales and marketing and organizing them into a single operating team.

The success of your RevOps team relies on their ability to act on three important pillars.

Strategy

The RevOps team’s job is to ease processes, find more efficient connections between the siloed departments, and detect pain points. It can do this by strategizing actionable, well-defined plans that are also goal-oriented and effectively communicated throughout the organization. 

Keeping your internal and external stakeholders in the loop and ensuring all departments work toward a common goal can help them make better decisions. The RevOps team is also expected to run regular analyses which evaluate market trends and opportunities. These can then be used to shape your business strategies and the actions of different departments. Simply put, supply your RevOps team with tons of market data. It’ll help them make better-informed decisions.

Process

Your RevOps team is also in charge of ensuring that all areas of the organization are running smoothly. A well-defined strategy leads to a smooth business process that ensures maximum efficiency and minimal usage of money and manpower. It’s up to the RevOps team to develop a smooth business process, communicate clearly with all teams involved, and regularly assess each step for effectiveness and potential areas of improvement.

If steps of the process are missed, or stages are out of order, it could ultimately result in inefficiency, delays, added costs, and customer dissatisfaction.

Insights

Insights allow for a consistent feedback loop regarding the above-mentioned strategies and processes. It provides answers to the questions: What are we doing? Is that working for the company? Is there scope for improvement? What other aspects of the strategy and process could be influencing our outcomes?

As mentioned above, industry insights are all about good data. These insights inform your RevOps team of current trends and how (and to what extent) they can be leveraged to help your business. Ultimately, RevOps is about finding and maximizing business opportunities.


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The benefits of RevOps implementation

People, processes, and information working in isolation within an organization can lead to many problems like duplicated efforts, miscommunication, inconsistencies, and inaccurate financial projections. Here’s how RevOps can help solve this:

  • Alignment: By bringing together customer-facing departments like sales, marketing, and customer service, businesses can focus on shared goals across departments. It can also ensure that the results of every campaign and customer initiative are measurable from beginning to end.
  • Simplification: Employing RevOps simplifies collaboration, removes conflicts and silos amongst departments, and allows for better communication and data to support team members, empowering them to make better decisions and achieve better outcomes. This boosts overall efficiency and creates a better customer experience. 
  • More accuracy: Forecasting also becomes more accurate, as information is accessible across departments. Having a special RevOps team can make it easier for different teams to collaborate and come up with robust business strategies.
  • More strategic use of technology: RevOps can help a company make better use of its technological resources. It can increase conversion, shorten sales cycles, and improve forecast accuracy by using AI and automation to boost accountability across the customer-facing teams.
  • Better culture: When you use RevOps to bring teams together and share information, you’re redirecting to transparency and data-driven teamwork. There is a common goal and measurable results that everyone can work toward, preventing conflicts regarding blame or credit.

Ultimately, all of these benefits result in higher success rates and shorter sales cycles, which, in turn, translates to higher revenue and growth.

Frequently asked questions about RevOps

Here are some of the most popular questions marketers ask regarding RevOps.

What is the difference between RevOps and Sales Ops?

Sales operations focus on facilitating sales functions and allowing sales representatives to focus on selling.

On the other hand, revenue operations is about making the entire revenue-generating side of the business more effective at what they do. It works by centralizing four previously disconnected departments, including sales operations, marketing operations, customer success operations, and systems. RevOps is not only about achieving revenue goals but also about providing a positive experience for employees and customers.

What problems does RevOps solve?

Although RevOps focuses on maximizing brand revenue, its benefits go beyond this function. A well-trained RevOps team can resolve a whole host of problems, from improving data quality to building more sustainable work processes.

RevOps builds processes at every stage. RevOps teams help brands unify processes across every department by aligning their functions with campaign goals. Aligning these processes can also help prevent discrepancies in communication, helping craft a consistent and excellent experience for customers. 

It addresses inconsistent data and duplicated efforts. RevOps can help marketers identify data issues such as duplicate contacts, inconsistent records, and more. This can help it track the flow of (and any leaks in) revenue throughout the organization.

It breaks down departmental and data silos. RevOps facilitates the breakdown of company silos by tying the revenue success of every department together. It can help resolve disputes between departments by creating a collaborative mindset with a unified goal.

How do you measure the success of RevOps?

​​RevOps is a collaborative, customer-centric approach to maximizing a business’s revenue potential and minimizing leaks. To measure how well your RevOps team is doing, you should turn toward a constant feedback loop and transparent sharing of information. However, the size of your venture and the length of the project would also play a role in gauging RevOps success. 

Ideally, you can track progress by assessing your short-term and long-term revenue goals. You can align short-term goals with your company’s strategies, which can then be divided into actionable parts. The outcome of these actions can be measured, with reference to your goals, through a goal-setting framework.

Long-term goals are slightly more complicated to measure and involve various analyses, such as evaluating your pricing, competition, sales funnel, and churn:

Pricing analysis. Knowing your company’s pricing history can help you understand how customers view your product. It can also help you understand whether you can increase prices without losing customers.

Competitor analysis. It’s also helpful to understand what your competitors are doing. This doesn’t have to influence your pricing, but it can help you reevaluate your selling strategy and revisit your value proposition.

Sales funnel analysis. This allows you to focus on revenue leaks by identifying the barriers to successful conversions. Knowing this information can help your team understand why there is a drop-off at a certain stage and take corrective measures.

Churn analysis. This helps you understand why customers aren’t coming back for repeat business. It may be the case that you have a solid selling strategy, but your product just isn’t good enough. If that is the case, it makes sense to invest time in improving your product before trying to sell more.

How to make the transition to RevOps

According to Gartner, 75% of the top companies in the world (in terms of growth) will deploy a RevOps model by 2025. Plus, the number of “director of revenue operations” and “VP of revenue operations” job titles is rapidly increasing. 

Are you wondering how you can join the ever-increasing number of companies using RevOps? Here are a few ways: 

Audit your processes to find areas of disconnect between departments. Gather and align all your existing data with your customer’s lifecycle stage and create a plan to fill in any gaps. Audit the technology you use in each of your customer-facing departments to ensure that they’re accurately tracking data.

Define your lifecycle stage definitions for your team. Evaluate your data to ensure you’re getting insights into the entire 360-degree customer journey and the financial health of your business. In addition, regularly audit your tech stack to identify and combat any redundancies and discrepancies, and brief your team about the impact RevOps processes have on various aspects of a company’s revenue.

Improve your customer experience. Put together a plan for improving customer acquisition, relying on inbound sales strategies, follow-up emails, and outbound sales outreach emails. Build a RevOps dashboard that highlights your current problem areas.

Maintain consistency with your RevOps growth strategy. Set regular RevOps check-ins to maintain alignment by reinforcing revenue and growth goals with marketing, sales, and service heads to ensure that they’re all on the same page. Create and follow an implementation plan to boost the adoption and optimization of your RevOps strategy.

Resources for learning more about RevOps

Maximizing revenue operations for your organization is no simple task. But, with a qualified team and the right assets, marketers will have a greater chance of achieving their goals.

Here are some helpful RevOps resources to help you choose the best solutions for your organization:


About The Author

1647558052 623 Why we care about RevOps A marketers guide
Akshat Biyani is a Contributing Editor to MarTech, a former analyst who has a strong interest in writing about technology and its effect on marketing.


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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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