Social Media Advertising
Article | July 14, 2022
When print publishers transitioned to online publishing, they were keen to find a way to generate revenue. Their revenue model in the print world was advertising, so they needed to monetize their content online. Display ads were a great start for them. They sold their advertising space to interested advertisers directly. Even then, there would always be some ad inventory that remained unsold. The need of the hour was a platform that could help them sell this inventory. That is when ad networks for publishers and advertisers came into the picture. Let us take a deeper look into how ad networks are helping both publishers and advertisers optimize their selling and buying processes.
Ad Networks: Simplifying Ad Buying and Selling
An ad network is a technology-backed platform that acts as an intermediary between a group of publishers who want to sell their ads and advertisers interested in buying them.
Ad networks for publishers and advertisers first appeared in the mid-nineties as the earliest advertising technology to support online advertising. They helped advertisers buy ad space across multiple publishing platforms.
The primary purpose of an ad network was to collect unsold ads from different publishers and put them up for offer to advertisers at a lower price than what a direct sale would cost. This kind of ad inventory was mostly referred to as remnant, non-premium ads that publishers struggled to sell directly.
Today, ad networks for publishers focus on offering advertisers exclusive ad deals at premium prices. They pre-buy inventory from different publishers and then resell it to advertisers at premium prices to help advertisers get the impressions they expect.
Types of Ad Networks
Based on your audience, industry, topics, and formats, you have four main types of ad networks to choose from:
Inventory-specific networks: Such networks have ads of a specific type, such as mobile or video.
Vertical advertising networks: These are ad networks that focus on a specific topic, such as fashion, automobiles, or business.
Premium networks: These are the networks that offer premium inventory, mostly from popular publishers.
Targeted networks: These networks offer specific targeting capabilities through a built-in ad server.
How do Ad Networks Work?
Ad networks for publishers and advertisers keep on evolving with technological advancements. To understand how the best ads network works, here are the dynamic steps they follow to benefit publishers and advertisers:
Ad networks compile multiple publishers with available ad inventory.
Advertisers create campaigns using the ad network’s campaign panel, keeping in mind their budget, target audience, and any other special attributes.
The publishers install relevant ad network tags on their websites.
When there is a match between an ad campaign set by an advertiser and the publisher’s ad inventory, ad information is sent to the publisher. The ad network provider gets a share of the ad revenue generated from the campaign or by selling the inventory at a higher price than the publisher.
Using the ad network’s campaign panel, the advertiser tracks and manages the ad’s performance.
Ad Networks in Programmatic Advertising
Ad networks for publishers and advertisers are a part of programmatic advertising, which is the process of automatically buying and selling digital advertising space. In this space, demand-side platforms (which help advertisers) and supply-side platforms (which help publishers) streamline the buying and selling process through real-time bidding (RTB).
Businesses and enterprises rely on programmatic advertising for their digital advertising needs because publishers are adopting native ads on their websites. Thanks to native ads, ad blockers don’t affect advertising, and marketers can optimize and improve their ads with programmatic techniques for campaign success. It's no surprise that programmatic digital display ad spending is expected to increase by 25.8% this year (Source: Brand Equity).
In conjugation with ad networks, an ad exchange connects DSPs and SSPs autonomously. An ad exchange came into the picture in 2005 when ad networks were not enough to solve the cumbersome problem publishers were facing ─ selling unsold ad space. Automation in the open marketplace for buying and selling digital ads was the solution. An ad exchange offers a streamlined platform for advertisers, publishers, ad networks, and other parties to connect their ad serving technologies for efficiency.
Ad Network and Ad Exchange: What is the Difference?
In the programmatic advertising ecosystem, the ad network and the ad exchange are two important components that are often mistaken to be the same because of their role in media buying. Let us take a look at the factors that separate the two.
Attribute
Ad Network
Ad Exchange
Function
Intermediary between publishers and advertisers
Open marketplace for everyone
Identity
Company
Technology
Key Users
Publishers, advertisers and agencies
Publishers, advertisers, agencies, ad networks, DSPs, SSPs and ATDs
Important Characteristic
Pre-segmented ads for particular audience. Promotes bulk buying and selling.
Pool of various types of ad inventory. Based on an impression-per-impression trade
Ad Quality
Top-tier ad inventory, often sold for the first time
All available inventory on sale including remnant ad slots
Optimization
Time consuming
Optimization possible on-the-go
Cost
Stable and determined by the ad network
Dynamic pricing based on real-time bidding by advertisers
Impact on Advertiser
Ad prices are higher
Advertisers can define the pricing
Impact on Publisher
Low control over inventory pricing and optimization
More control over value per impression
Buyer/Seller Information
Advertisers are unaware of the placement of their ads
Publishers don’t know who the advertisers are
Both advertisers and publishers have each other’s information
Why Advertisers and Publishers Rely on Ad Networks?
A Wider Range of Options
With the help of top ad networks, advertisers and publishers can buy or sell more ad space. As a part of monetization strategies for publishers, they can rapidly increase their revenue through premium or remnant inventory because ad networks bring them the highest paying bids. Advertisers, on the other hand, can easily find any type of ad inventory that matches their budget for ad publishing.
Higher Return on Investment
Top ad networks bring in more revenue from advertising. The better the quality of ads, the higher the revenue for advertisers because they get precisely matched with their targeting needs and they can choose the most profitable deals.
Increased Efficiency
Automation in matching publishers and advertisers is the biggest advantage of advertising networks. It saves the time of manually looking for suitable deals or favorable pricing. The best publishers that bring the best impressions on ads can easily be approached. Publishers can get their inventory sold for the best price thanks to digital advertising networks.
Features of an Ideal Ad Network for Publishers & Advertisers
Here is a list of features you can refer to while choosing an ad network that caters to your needs:
Size: The size of the advertising network matters because it facilitates a steady traffic. The more traffic it can deliver, the higher your ROI will be.
Quality: Identify the quality of the inventory that an ad network offers. It should match the kind of inventory you need.
Audience Targeting: Your ad network should support different audience targeting options so that ad campaigns work perfectly well.
Format Support: Your ad network should support different formats like responsive, call-only, animated GIF or simple banners so you can diversify into different formats without any hassles.
Reliability: Depending on your requirements, ensure that the network doesn’t go down and provides consistent service so your business remains unaffected. The interface should also be easy to use, clean, and rich with data to help your marketing team optimize their personalization efforts.
CTV Streaming Platform Used PubMatic to Bump its Revenue by 400%
Future Today, a premium CTV streaming platform, used PubMatic’s platform to drive its ad revenue. PubMatic helped Future Today partner with a leading CTV DSP and achieve a lucrative private marketplace (PMP) agreement to create incremental demand through direct integration and optimized engagement.
“PubMatic has been one of Future Today's fastest growing demand partners in the last 6 months. The entire team has been a pleasure to work with and they genuinely understand the value of CTV in the market.” – Katya Shkolnik, Head of Partnerships, Future Today Inc.
Key Takeaways
Display, native, and banner advertising campaigns are critical for marketers like you to scale your business, so understanding how and what an ad network for publishers and advertisers does is important to creating the best, most effective advertising campaigns that bear results.
Read More
Social Media Advertising
Article | July 14, 2022
A KPMG study found that 86% of consumers are concerned about data privacy and 78% about the amount of personal data collected. Industry players are re-envisioning their future strategies and how they will need to adapt to the impending demise of third-party cookies.
Contextual targeting has resurged to ensure campaign reach and effectiveness, Let us examine how contextual targeting can help advertisers adapt to a cookie-less future:
Targeting Has Advanced
AI and machine learning are trending. Theymimichuman behavior to understand the context of any given environment to serve relevant ads. This type of targeting is called semantic contextual targeting. AI advances with Natural Language Processing (NLP) enable deeper, more nuanced page analysis that can understand tone and sentiment. Advertisers can place campaigns more reliably and brand-safely without cookies or other identifiers. Recently, TikTok launched its new contextual tool, TikTok Pulse. Brands can advertise alongside top-performing content in the “For You” feed. This symbolizes a privacy-conscious future for the digital advertising industry.
Contextual Targeting Can Outperform Third-Party Cookies
Contextual targeting can outperform cookies in clickthrough rate (CTR), cost-per-click (CPC), and viewability. Contextual targeting does not require user information, first-party data, or consent to work.
Advertisers like you can target the audience using brand-relevant content to boost brand recall and engagement, even in niche categories. You can fine-tune your inventory selection and create custom segments. This reduces the risk of the ad appearing alongside inappropriate content. Contextual targeting is also good for publishers because it lets them show ads that are accurate and relevant at the right time.
CTV is a New Contextual Ads Frontier
Targeting the right audience without cookies is difficult in CTV, but contextual targeting and the rise of more industry players offer scalable and customizable solutions. AI and audio recognition can target viewers based on what they're about to watch. Such individualized, non-disruptive ads ensure performance and brand safety in premium broadcast environments.
Final Thoughts
Changes in the advertising industry, combined with advancements in contextual targeting, make it more relevant than ever for advertisers and publishers. The industry must collaborate to create more privacy-compliant and brand-safe environments in the future.
Read More
Social Media Advertising
Article | July 13, 2022
With live sports on hold for the foreseeable future, broadcasters have started reairing games from yesteryear to keep audiences entertained during the coronavirus pandemic. For sports fans who know the outcome, reruns can be dull. Enter Super Squares, an app developed by Tampa-based React LLC that can put the adrenaline back into those dusty classics. The iOS and Android app is a modern take on “football squares” players check in before a game and make predictions, answer questions about ads and the game at regular intervals, and earn new super squares.
Read More
Social Media Advertising
Article | July 14, 2022
Marketers and agencies must investigate the relevant counterfactual to advertising exposure to assess advertising effectiveness. Ghost ads can compare exposed and non-exposed consumers to measure ad-related behavior changes.
What are Ghost Ads?
Ghost ads are a great way to measure ad effectiveness or incrementality (the lift or increase in desired outcome through marketing) because they allow brands to see how their ad is received by two distinct consumer groups: those targeted and those who would have seen it organically.
Leveraging Ghost Ads for Causal Ad Measurement:
Here is why leveraging ghost ads to measure ad-related behavioral changes is a great idea:
You don’t need to invest additional funds to create a control group
You can have extensive reach within the DSP (demand-side platform)
You can measure behavior for all formats such as mobile, audio and CTV
Ghost Bidding: Mapping Consumer Behavior:
In ghost bidding, a DSP platform accepts auctions for ad placements on publisher websites/apps/connected devices and bids on them. It records whether the auction was won (and the ad displayed). Before bidding, the platform assigns the user ID to a control or exposed group. For control group users, the bid is withdrawn so that no ad was shown during the study.
This creates two identical groups, one that saw the ad and one that didn’t. You can then compare the test and control groups' website purchases, landing page visits, etc. Over a period of time, it is possible to record large effect sizes across several behaviors.
A Large U.S-based Apparel Company Measured Their Ad Incrementality Using Ghost Ads:
Using ghost ads and ghost bidding, a U.S based apparel company measured its ad incrementality. Over 21 million unique individuals saw the company’s ads over a 15 month period, for an average of around 35.4 ads per individual. The exposed group had a 1.42% greater chance of visiting the site, for a topline lift of 54.9%, compared to the ghost ad viewers. With this information, the company was able to optimize its advertising campaigns on the flu to have a bigger impact on its audience.
Last Word:
Cost-per-click, cost-per-site-visit, and other metrics used by marketers don't show any change in advertising behavior. Ghost Ads are the most cost-effective way to analyze digital marketing campaigns' causality.
Read More