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Pay-per-click (PPC) Advertising Market Is Booming Worldwide | Emerging Players Wolframalpha …

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Pay-per-click (PPC) Advertising Market Is Booming Worldwide | Emerging Players Wolframalpha, Google, Bing, Yahoo

Pay-per-click (PPC) Advertising Market

Understand focused approach and business strategies that competitors are keeping to reach target audience, Get one step closer to leaders and high growth emerging players of Pay-per-click (PPC) Advertising Market.

The latest 99+ page survey report on Global Pay-per-click (PPC) Advertising Market is released by HTF MI covering various players of the industry selected from global geographies like United States, Europe, China, Japan, Southeast Asia, India & Central & South America. A perfect mix of quantitative & qualitative Market information highlighting developments, industry challenges that competitors are facing along with gaps and opportunity available and would trend in Pay-per-click (PPC) Advertising market. The study bridges the historical data from 2014 to 2019 and estimated till 2025*. Some are the key & emerging players that are part of coverage and were profiled in current version are Google, Bing, Yahoo, Ask.com, AOL.com, Baidu, Wolframalpha, DuckDuckGo & Sogou.

Be the first to knock the door showing potential that Global Pay-per-click (PPC) Advertising market is holding in it. Uncover the Gaps and Opportunities to derive most relevant insights from our research document to gain market size.

Click to get Global Pay-per-click (PPC) Advertising Market Research Sample PDF Copy Here

Analyst at HTF MI have classified and compiled the research data from both perspective (Qualitative and Quantitative)

Quantitative Data:

Market data break-up by regions, Type & Application/End-users

• Pay-per-click (PPC) Advertising Market Revenue & Growth Rate by Type [, Flat-rate PPC & Bid-based PPC] (Historical & Forecast)

• Pay-per-click (PPC) Advertising Market Revenue & Growth Rate by Application [Middle and Small-sized Enterprise & Large-scale Enterprise] (Historical & Forecast)

• Pay-per-click (PPC) Advertising Market Revenue, Volume & Growth Rate by Each Country Specified, Application & Type (Historical & Forecast)

• Pay-per-click (PPC) Advertising Market Revenue, Volume& Y-O-Y Growth Rate by Players (Base Year)

Qualitative Data:

It would include sections specific to market dynamics and the trending factors affecting or driving the growth of the market. To list few names of sections covered are

• Global Pay-per-click (PPC) Advertising Industry Overview

• Global Pay-per-click (PPC) AdvertisingMarket Growth Drivers, Trends & Restraints

• Gaps & Opportunities in Pay-per-click (PPC) Advertising Market

• Market Entropy[Highlighting Aggressiveness or Strategic Moves of Industry Players] • PESTLE Analysis (360 degree view of market)

• Porters Five Forces Model (competitive rivals, potential new market entrants, suppliers, customers, and substitute products)

• Patent & Trademark Analysis[Licenses, Trademarks & Approvals] • Competitive Analysis (Landscaping SWOT Analysis of each Players/Manufacturers Profiled in Study)

• Pay-per-click (PPC) Advertising Market Development and Insights etc. [Covers Product/Service Launch, Innovation etc] • Investment & Project Feasibility Study

Competitive landscape highlighting important parameters that players are gaining along with the Market Development/evolution

• % Market Share, Segment Revenue, Swot Analysis for each profiled company [Google, Bing, Yahoo, Ask.com, AOL.com, Baidu, Wolframalpha, DuckDuckGo & Sogou] • Consumption, Capacity & Production by Players

• Business overview and Product/Service classification

• Product/Service Matrix [Players by Product/Service comparative analysis] • Recent Developments (Technology advancement, Product Launch or Expansion plan, Manufacturing and R&D etc)

Get Discount of 10% on Immediate Purchase, Limited period Offer @ https://www.htfmarketreport.com/request-discount/1809376-global-pay-per-click

Important Features that are under offering & key highlights of the Pay-per-click (PPC) Advertising market report:

1) What Market data break-up does basic version of this report covers other than players information?

Global Pay-per-click (PPC) Advertising Product Types In-Depth: , Flat-rate PPC & Bid-based PPC

Global Pay-per-click (PPC) Advertising Major Applications/End users: Middle and Small-sized Enterprise & Large-scale Enterprise

Geographical Analysis: United States, Europe, China, Japan, Southeast Asia, India & Central & South America

2) What are the companies profiled in basic version of report? Is it possible to customize list

Players that are currently profiled in the the study are “Google, Bing, Yahoo, Ask.com, AOL.com, Baidu, Wolframalpha, DuckDuckGo & Sogou”. Yes list can also be customized, a maximum of 5-6 players can be swapped with the list of your target competition.

List of players mentioned may vary in the final report subject to Name Change / M&A activity in recent year. Final confirmation about the players would be provided by research team depending upon the difficulty of survey.

Buy Latest 2020 version of Global Pay-per-click (PPC) Advertising Market Study @ https://www.htfmarketreport.com/buy-now?format=1&report=1809376

3) What all regions or countries covered? Can we have list of country of my choice?

Currently, basic version research report is focusing on regions such as United States, Europe, China, Japan, Southeast Asia, India & Central & South America. List of countries can be customized as per your interest and final confirmation would be dependent upon feasibility test and data availability in research repository.

4) How can we include Segmentation / Market breakdown of Business Interest? Is it possible to get information on Market Makers

Yes, inclusion of additional segments is very much possible subject to data availability and difficulty of survey. At times our client request for market makers information that can be covered on special request after considering requirement with Analyst group of HTF MI.

Depending upon the requirement the deliverable time and quote will vary.

To comprehend Global Pay-per-click (PPC) Advertising market sizing in the world, the Pay-per-click (PPC) Advertising market is analyzed across major global regions. HTF MI also provides customized specific regional and country-level reports for the following areas.

• North America: United States, Canada, and Mexico.

• South & Central America: Argentina, Chile, and Brazil.

• Middle East & Africa: Israel, Saudi Arabia, United Arab Emirates, Turkey, North African Countries and South Africa.

• Europe: UK, France, Italy, Germany, NORDIC Countries, Spain, and Russia.

• Asia-Pacific: India, China, Japan, South Korea, Malaysia, Singapore, Indonesia, Singapore, and Australia.

Browse for Full Report at @: https://www.htfmarketreport.com/reports/1809376-global-pay-per-click

Actual Numbers & In-Depth Risk & Return Analysis of Pay-per-click (PPC) Advertising Market with opportunities Available in final Report.

Thanks for reading full article, contact us at [email protected] to better understand in-depth research methodology and sound approach behind this study adopted by Analyst of HTF MI.

Contact
Company Name: HTF Market Intelligence Consulting Private Limited
Contact Person: Craig Francis
Email: Send Email
Phone: 2063171218
Address: Unit No. 429, Parsonage Road
City: Edison
State: New Jersey
Country: United States
Website: https://www.htfmarketreport.com/reports/1809376-global-pay-per-click

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MARKETING

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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