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What It Is And How It Works

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What It Is And How It Works

Is a dedicated development team model the right option? Despite seeing several statistics showing how outsourcing helps minimize development costs, you are still determining if it’s the right choice for you.

Well, when it comes to choosing a suitable outsourcing model, one of the essential things is knowing what your requirements are and which model will benefit your business. Choosing the best of the three outsourcing models is a difficult task.

Don’t worry. We are here for you.

This guide will help you decide which model is best for your business. Specifically, we will focus on a “dedicated development team model.” You will know what makes the dedicated team model better than other models. Let’s dig right in!

What is the dedicated development  team model?

Dedicated development team model is a type of business model that outsources software development . Usually, the client and the service provider sign an agreement that provides long-term software specialists. This is one of the most prevalent partnership models with fixed prices.

In the dedicated development team model, the team works on a specific project full-time, reporting directly to the client. The outsourcing company assists clients in recruiting, administrative support, and maintenance. This model works best for long-term projects.

There are many benefits to the dedicated team model, but to make an informed decision, we must also consider the alternatives.

Dedicated development team model vs. Time and Material Model

Another format that is usually compared with a dedicated development model is the time and materials model. In the time and material model, clients pay for the time and effort. This model gives scope for in-depth research, but it doesn’t guarantee the client will work with the same team throughout the project.

The time & frame of this model suits short-term projects and software that doesn’t require regular updates. Both models have their perks.

To conclude, time & frame models are best for short term projects, while the dedicated team model is best for long-term and vague requirements.

When to choose a dedicated team model?

A dedicated development team model can be beneficial for certain types of businesses. Your focus should be to determine if this suits your business type. Here’s, a quick checklist that will reduce your brainstorming :

  • When your business is in the early stages, i.e., a startup,
  • When the scope of work is vague,
  • When working on a complex and long-term project.

This model is perfect if you are one of the businesses that may need to extend the contract further.Lately, we have discussed vague requirements and the liberty to extend the scope. Yes, that’s the most significant advantage of the dedicated team model, but the real question is how this works. To begin with, we will have to know how the dedicated development team model works.

How does the DT management model work?

Dedicated team management is divided into four steps. Read below :

Discovery Phase :

The first and foremost step is to find out the client’s needs. During this discovery phase, the company and client sit down together to discuss requirements, budget, and how to manage the team.

In short, the following things are discussed in the discovery phase:

  • What are the project scopes?
  • What is the required number of team members?
  • Figure out the skills and expertise required in the team.
  • Negotiate the development costs.

Team Set Up

Following that, the company selects team members based on requirements. The number of developers, designers, project managers, and quality assistants depends on the requirements of the client. Companies begin to hire developers based on their requirements and demands. The core member of the team consists of :

The dedicated team’s structure consists of the following members

UX/UI designers

UX/UI designers work to ensure that users have an easy and enjoyable experience while using the software.

Quality assurance specialists

These members monitor, inspect, and propose a measure to improve the software according to the client’s needs.

Projects managers

Managers are responsible for teams productivity and ensure client demands are being fulfilled

DevOps engineers

DevOps engineers are specialists who have a wide range of knowledge of development and operations. This includes coding, infrastructure management, and all necessary methodologies.

Front-end & Backend Developers

Front-end developers design the visual aspect of the website to make it easy to navigate and useful, while back-end developers refer to the structure that helps the website function properly.

Development Phase

The development phase is when the team starts to work on the project. The dedicated development team model is managed by the client’s team, therefore, the client assigns work to team members. The next big task is to establish a communication bridge for regular meetings, reports, and progress.

Besides these developments, they also facilitate the following tasks :

  • Assign tasks and monitor them regularly.
  • Manage costs and taxes.
  • Establish a proper work environment.

In this phase, roles and responsibilities are outlined, and a development plan is created, in house team. Along with that, the team starts to keep track of progress and milestones (e.g., daily calls, reviews of issues and progress, etc.).

Once the team is set up , the main task is to keep up with the progress and manage the process well. After completion of  software, it is  released to the client’s end-users for testing, deployment, etc.

Well , the role of outsourcing companies doesn’t end here.

In the dedicated development team model, work continues; clients still need to update and improve in design, structure, and features. The client and the outsourcing company sign contracts that let them extend work boundaries.

Besides this, the client also gets access to all the insidious work. Such as  clients can monitor teams and management and all the other management systems.

Conclusion

To sum up , Dedicated development team model can be beneficial for businesses looking to build apps or software at a reasonable cost with minimal effort required on their part, especially if you have a small budget for your project.

Besides, you must explore your requirements and needs and then decide which model is suitable for you.

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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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