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Outsourcing SEM vs DIY SEM For Agencies: Which Is Better?

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In recent years, Search Engine Marketing (SEM) has started to be perceived as a practice that could drive footfalls and fulfill desirable sales.In recent years, Search Engine Marketing (SEM) has started to be perceived as a practice that could drive footfalls and fulfill desirable sales. However, running a successful PPC campaign is no piece of cake. You have two options when it comes to SEM in specific; should you do everything by yourself or outsource your search engine marketing services to an experienced agency? It’s a tough question to crack but a crucial one.

Outsourcing SEM or in-house SEM, both of these options have their pros and cons, and it all depends on which approach is best applicable to your marketing needs. To help you out, in this article we’ll be looking at the pros and cons of each option, as well as offer our take on which of the two is a better option. But before we jump right in, what exactly is SEM? And how is it different from SEO?

SEO vs SEM: A Quick Recap

Google’s search results are divided into two main categories: paid search results and organic search results.

SEO expertise ensures that your website ranks high on SERPs through organic search. (Search that you have not separately paid for)

On the other hand, SEM relates to paid search optimisation. You pay to get traffic and visibility for your website by appearing at the top of SERPs. PPC (pay per click) is another term used to refer to SEM.

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Should you DIY your SEM?

It is important to note that SEM harder than it seems. Only 15% of the traffic on search engines click on an ad, according to a Forbes article. A PPC campaign needs to be exceptional to attract that 15%.

PPC campaigns, thus, come with a massive cost but low RoI (return on investments). This makes in-house or DIY SEM a relatively less ideal option.

Outsourcing SEM: PROS 

1. Access to tools of the trade- Search engine marketers use more than just their minds to perform their jobs – they have many specialised tools that they use to implement and improve specific search engine marketing tasks and efforts.

These tools can burn a significant hole in your pocket and require the proper training to use them in-house. It is better to outsource your search marketing to experts or an agency who use these particular tools daily.

2.  More Efficient Results- Unlike DIY SEM, outsourcing allows you to seek help from google adwords experts  who work dedicatedly on your SEM efforts and produce results more quickly and efficiently.

With the help of a digital marketing agency, your SEM campaign has better chances of producing positive results that too quickly, owing to their experience and human resources.

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3.Lets you focus on other aspects of your business– Outsourcing your SEM, gives you more freedom to focus on other tasks and aspects of your business. You can monitor your SEM campaign as the specialists handle it while you evaluate your results to come up with better strategies for the future.

4. Expertise & Experience- Going the agency route means that the professionals are solely focused on SEM, are up to date with the latest trends and tools in the industry ensuring that the techniques they’re using will bring the most significant benefit to their client.pexels canva studio 3194519 1

Moreover, agencies have worked on a variety of marketing campaigns from different types of business. This means they have more knowledge and exposure as compared to an in-house SEM team. From account structure to conversion optimization and everything else in between, agency PPC specialists are true experts.

5. Agency Support- Search Engine Marketing agencies offer dedicated agency support who assist in everything from escalating ad approvals to providing competitive insights. It can be assuring to know that if something goes wrong, someone has got your back.

6. Affordable– Going the agency route will save you money. It will save you the cost of recruiting and maintaining an in-house employee as well as the equipment costs.

Majority of SEM agencies charge approximately twenty to thirty percent of ad spend. This is a lower cost than that of employing another head and getting the systems in place to make it affordable.

Outsourcing SEM: Cons

1.Compliance and Legal Issues- These issues may hinder the agency’s ability to execute the most optimal search marketing plan on a timely basis.

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2.Quality Control- When you outsource your SEM, you may encounter a problem where the quality of the work would be compromised and you won’t know until it’s too late. This is a significant con. It can result in considerable lost time and money.

You can avoid this by following a rigorous screening process before partnering with an agency. Opt for a reputable agency to prevent such problems.

DIY SEM: Pros

1. Employee Accountability – In-house google adwords experts are ultimately responsible for the success of your PPC efforts. In-house PPC managers are more accountable as the account’s performance can influence his or her employment, salary and advancement. You would expect him or her to give their best.

2.Understanding of your business- No one knows your business better than your in-house staff- having a solid understanding of how your company operates, its core competencies, unique selling proposition, and most importantly, your customers.pexels lukas 669610

3. Experience SEM first hand– The fundamentals of SEM may be complicated at first, but once you get the hang of it, you will discover that SEM is quite interesting.

4. Flexibility – When it comes to flexibility and control, in-house SEM is the best. It gives you more control over specific aspects of the campaign and allows you to manage the campaigns more efficiently.

In contrast, with an outsourcing agency, you must frequently communicate messages from and to the agency. With in-house SEM, you can simply walk to the next office or even turn to the person next to you in case of any questions or concerns.

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DIY SEM: CONS

1. Lack of expertise

The lack of technical know-how and expertise is a significant con for in-house SEM. If you’re not sure that you can execute or know enough to run an SEM campaign, then you shouldn’t take up that challenge. As they rightly say, do what you do best and outsource the rest.

If you are a novice at SEM, you should avoid in-house SEM as you may waste valuable time, money, and may even set yourself back rather than make progress. You want to avoid making mistakes early on that can cost you big time.

2.  Time-Consuming

Managing SEM without professional assistance is a recipe for disaster. Not to mention that it’s time-consuming as well. You can think of hiring a digital marketing agency to do SEM for you.

3. Lack of Accountability

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Lack of accountability remains a common pitfall for most businesses as their resources may be limited. When you decide to do your SEO in house, it can fall by the curb of other “priorities.”

On the other hand, when you outsource, you can be sure that the agency will deliver by a specific date if they want you to renew with them again.

So The Question Still Remains: Outsourcing SEM vs DIY SEM for Agencies: Which is Better?

I’m sure by looking at the detailed pros and cons of each option; you would have gotten a fair bit of an idea as to which option is better for you. To give you some more detailed insight, here are my 2 cents.

For more than ten years or so, in-house SEM campaigns have taken a back seat to SEM agencies for most small, medium, and large businesses. This is because building an in-house team for every stage of a PPC campaign isn’t optimal or feasible. The solution is partnering with professionals who live and breathe SEM- Outsourcing SEM! Their literal job is to maximize your PPC ROI.

It is also helpful to note that most SEM agencies have a monthly rate, so you pay the same amount every month- saving you the headache of fluctuating costs.

With strategic planning and a dream-team at your disposal – success is bound to happen. Get on board with an SEM agency to start your journey of growth.

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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.”

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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.”

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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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