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How to Build a Marketplace Platform

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How to Build a Marketplace Platform

To facilitate direct transactions between buyers and sellers, an online marketplace serves as an intermediary. Customers want a marketplace that can deliver cutting-edge security features for Fraud Detection, ensure transaction integrity for both parties, and give real-time monitoring of transactions in order to stay competitive.

So, let’s go into further depth about building a profitable marketplace website.

Let us now examine the many alternatives for the building of a marketplace business model. Of course, there is no one-size-fits-all solution to the question of how to develop a marketplace for all businesses.

Revenue of Etsy Inc. from 2012 to 2020 was 1.3bn USD. eBay’s annual net revenue from 2018 to 2020 was 10.3bn USD. The revenue of these marketplaces has become faster after COVID-19 pandemic.

So, the focus will be on speed to market, technical knowledge, development costs, scaling capabilities, and customization options. It’s likely that you’ll be able to determine which solution is best for your company.

1. Creating a new piece of software from scratch

Doing everything exactly as you had envisioned can be an option for you if you have the requisite skills or access to a team of professionals. In this case, the primary advantages come from having full access to the source code and not relying on any third-party software.

As per reports of Digital Commerce 360, 20% of buying managers spent on online marketplaces, and 22% spent more during the time of pandemic.

However, this method requires a significant investment of time at least three months since building a marketplace website capable of seamlessly processing all transactions is no small feat. This is a significant negative since it is sometimes necessary to construct an online marketplace website as quickly as feasible.

Developing and maintaining a platform on your own, while experimenting with bespoke features (which may or may not be helpful or popular), may quickly deplete your financial resources.

2. Creating it using open-source software

Using pre-existing software saves time over starting from scratch since the pre-existing functionality of marketplace software is complete, and it is easy to add new features. Because of this, it will be much less expensive to construct than the preceding choice.

It will take at least a month before you may launch again due to time constraints. The open-source software that is simple to alter is hard to come by; certain changes may need the involvement of developers.

Updating and maintaining the software might be a hassle as well. It’s up to your team to manage things like when a software developer doesn’t provide updates on the latest regulatory requirements for making payments.

3. Choose a website builder

There are a lot of options when it comes to basic website builders, and they’re all reasonably priced. Just have a look at Magento and Shopify as e-commerce platforms or Wix and WordPress as website-building tools.

Some of them even allow for extensive customization via the use of third-party extensions. So, if you’re comfortable with plugins and tools, going with a website builder can be the most cost-effective option for a business model for the marketplace.

When everything is said and done, though, it might take weeks to get everything just right for everyone. As a result, every plugin and extension must be tuned to meet or exceed the very high standards set by users.

There’s also a good possibility you won’t be able to locate a plugin that does what you want it to do at all. A plugin or extension that doesn’t work properly might cause havoc with your marketplace’s operations, therefore it’s best to avoid gambling your marketplace’s success on it.

4. Using a no-code marketplace builder

The easiest approach to building a platform is via the use of a SaaS or a marketplace-as-a-service technology. It’s possible that you’ll be online in as little as a day.

Your concept and the aspects that are crucial to your customers may be validated quickly by other firms using SaaS software. With this strategy, you obtain the greatest user experience for the least amount of money.

Last but not least, managing your web company and all of its facets does not need any programming knowledge on your part.

However, like with the previous method, there may be some restrictions on the number of features since software vendors prefer to deal with as many clients as feasible as possible. Because the features that are now accessible may not be sufficient for your firm to expand, this is a concern for scalability as well.

5. No-code toolset development

If you’ve mastered a wide range of no-code technologies, you may take on the building of marketplace sites. Foresee future upgrades and choose the proper components for today’s needs.

But even in this circumstance, it may take weeks to discover the right tools and learn how to use them. This technique is probably not for you if you have no idea what Webflow, Airtable, Parabola, and Jetboost imply.

It takes at least two weeks to learn how to use no-code tools, even for a seasoned no-coder. However, the platform might be unstable and need a lot of further development in the future.

6. Developing a SaaS product on top of an API-based marketplace

Instead of spending time on the fundamentals, you may concentrate on the features using this method. When compared to starting from scratch, this might save you a significant amount of money.

Unlike any other no-code tool, you may experiment with your ideas and combine other tools with them. Finally, if a software vendor is in charge of support, upgrades, and compliance, it is more trustworthy.

However, the fact that you’ll require development expertise or a team of professionals in this situation might be seen as a disadvantage. Using APIs to build a product is more expensive and more consuming than using a no-code solution.

Takeaway

The retail business is likely to be transformed by online marketplaces in the near future. 75 percent of marketing professionals say that the most essential advantage of marketplaces for organizations is the ability to contact consumers in areas where they like to purchase.

Online marketplace platforms may be built to stand even the most severe economic downturns with the correct marketplace development firm. Even if that’s a valid statement, markets serve a second purpose that’s just as important. In the event of a widespread coronavirus pandemic in 2020, a marketplace may be the only method to reach your target audience.


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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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