According to IAB Internet Advertising
Revenue Report, digital ads in US accounted for more than USD100 billion in
2018 and UK advertising market is worth £13.44billion, majority of which comes from smartphone advertising. In
the era of big data and social media, ad agencies are investigating innovative
ways to interact with relevant users and make a lasting impression. With
internet presenting an ultimate field of opportunities and monetization frenzy
hitting the fever pitch high right now, Ad Tech has taken the centre stage. Ad Tech
is short for advertisement technology, which intends to make advertisements
faster, quicker, and efficient. Driven by powerful algorithms and data points,
Ad Tech provides a streamlined and cohesive approach to maximize the efficacy
of campaigns across all points of the funnel.
What is
Ad Tech?
Ad Tech broadly refers to the digital
tools and analytics system used for delivering, controlling, targeting,
campaign design, bid-management, optimization, and automation of digital
advertising. Ad Tech tools and technologies not only helps advertisers to reach
the potential target audience and widen brand reach, but also provide marketers
to see a broader picture regarding their campaigns and amplify its impact. Data
retrieved from consumers using their social media sites, browsing activities,
and engagements and search history is analogous to insights on consumer
interests and needs. There are two methods of getting data important for Ad
Tech.
·
Third-party: Buy from somebody else
·
First-party: Gather actual data from actual people
(with values, behaviours, attitudes, and attributed)
Companies like Google, Facebook and
LinkedIn are owners of such data, and act as Ad Tech companies to monetize
those insights to enable brands and marketers create targeting strategies for
better customer acquisition and retention. Proctor & Gamble, General
Motors, AT&T, Ford Motor Company, Charter Communications are some of the
reputed brands that spend the most on Ad Tech. E-commerce companies have
enormous advantage in the Ad Tech space as they can combine partnerships and
product placements to work together and maximize revenue from their visitors
even if they do not opt to buy anything.
Nowadays, around 74% of marketers choose
to work with agencies whose area of expertise involves leveraging the full
potential of advertising technology. With Ad Tech, modern advertisements are
directed at the most relevant audiences at the perfect timing with suitable
context thus personalizing marketing techniques help to enhance ad performance,
and save a lot of time, money, and effort.
According
to TechSci Research report, “Global Ad Tech Market By Type (Cloud-Based, On Premises), By
Organization Size (Large Enterprises & SMEs), By Pricing Type (Fixed
Monthly Fee, Ad Spend Commission, Hidden Bid Markups), By End User (In-House
Media Buyers, Ad Agencies, Website Owners, App Developers, Ad Networks), By
Channel Type (Display advertising, video advertising, PPC, social media
advertising, CTV, DOOH), By Company, By Region, Forecast & Opportunities,
2026”, the global AD tech market is projected to grow at double
digit CAGR on account of increased investment by key players operating in the
market to improve the quality and response from customers.
Marketing Techniques Introduced by the
Ad Tech Industry
·
Programmatic
Advertising
Programmatic advertising has transformed
the way marketers communicate with their customers. Automating the media
trading process between advertisers and publishers, programmatic advertising
allows the demand-side to bid on the most relevant ad placements. Leveraging Ad
Tech, space on the publishers’ digital assets can be sold for the best price
within a matter of seconds. With the use of software and algorithms,
programmatic advertising does not only make the whole process of buying ads
efficient but also more effective, as opposed to the traditional process of
RFPs, human negotiations, and manual inventory orders. Real-time bidding and
open exchanges enable buyers to bid on the inventory of publishers and target
ads to specific users rather than merely relying on the publishers’ information
about their audience. In 2012, only 10.4% of global digital spend was
programmatic, but by 2021, 72% of digital media will be programmatic and global
digital display ad spend is projected to reach USD2024 billion.
·
Targeted
Advertising
Tracking real-time visitors on web
portals, identifying their demography settings, and checking their buying
history and digital behaviours, brands can deliver their messages to certain
demographic or people with specific interest to ensure ad relevance for the
user. Serving helpful content at the right place and right time is an ideal way
to reduce wasteful spending and increase ad performance. Some types of targeted
advertising used online include Social Media Ads, Search Engine Ads,
Behavioural Ads, among others.
·
Omnichannel
Programmatic
Omnichannel pragmatic refers to the
practice of digitally sequencing advertising across various channels that are
connected, relevant, and consistent with the customer’s stage in their lifecycle
to offer personalized recommendations across interactions providing a truly
seamless omnichannel experience. Adopting omnichannel programmatic can help
marketers achieve the following outcomes.
·
Reduce
gap between customer interaction and their persona for enhanced customers
experience to help identify the customers across channels and throughout their
buying journey.
·
Increase
the adoption of APIs digitally across media to deliver authentic brand
experience at the right moments and measure customer behaviour connecting all
touch points.
·
Collect
critical data from touch points programmatically to optimize interaction with
customers, move them towards the next stage of their journey and ultimately towards
a purchase.
Ad Tech Ecosystem
Ad Tech Ecosystem refers to the
collective name of the realm that encompasses all ad tech solutions and
connections between them.
·
Media
agencies purchase media
on behalf of advertisers with the intent of placing their messages to the right
audiences at the best prices.
·
Agency
Trading Desk is an
extension of media agency that purchase ads across multiple platforms
programmatically.
·
Demand-Side
Platforms (DSPs) are
independent platforms that allows media buyers to run ad campaigns and buy
inventory from various ad exchanges and SSPs utilizing data from data
management platforms and data brokers.
·
Data
Management Platform (DMP)
is a centralized hub designed to gather data from all platforms to gain an
in-depth insight about the consumer. In simple words, DMP is a software that
takes on the role of a data warehouse that sorts and assembles detailed
customer information, then sends out to publishers, marketers, and businesses. DMP
will consolidate both first- and third-party data from various channels for
audience creation and optimization for both current and future use.
·
Ad
Network is a technology
platform that serves as a broker between advertisers and publishers. Collecting
unsold ad inventory from multiple publishers and offering pool of impressions
to advertisers, ad networks transact media buys between advertisers and
publishers. The different types of ad networks include Premium ad networks,
Vertical ad networks, Specialized or Inventory-specific ad networks, and
Performance and affiliate ad networks.
·
Ad
Exchange refers to the
dynamic technological platform that facilitates buying and selling online
advertising inventories between advertisers and publishers.
·
Supply
Side Platforms (SSPs)
are independent advertising platforms that aggregate inventory from publishers,
funnel it into an automated auction to coordinate and manage their supply and
distribution.
·
Ad
Server, also known as
“ad tracking system” or “campaign management platform” is a technological
system responsible for hosting, optimizing, and distributing advertising
content across different media channels such as websites, social media
platforms, and mobile applications.
How Artificial Intelligence can be
leveraged in the Ad Tech Industry?
Listed below are the ten ways AI can
help the Ad Tech industry to find better solutions in various areas.
·
AI
in Ads Positioning
Employing machine learning algorithms
studying historical data of consumers can help to find relevant ads for the
targeted user group, which eliminates the need to sit and determine where to
place ads to drive maximum revenue.
·
AI
in Ad Audience Targeting
Making demographic and budget adjustment
to ads utilizing audience management tools allow one to increase their ROI. Leveraging
AI for audience segmentation to support better ad targeting is a pragmatic way
to use the technology.
·
AI
for Automated Analytics
AI-driven automated analytics enable
businesses to adjust to new information that help brands recognize a broad
array of patterns and surfacing relevant insights. AI-driven analytics can
analyse millions of data combinations and send an alert when something
instrumental happens, such as spike in PPC activity where you are not
advertising, etc.
·
AI
in Predictive Bidding
Predictive bidding evaluates data arrays
and offers right bid at the right moment during programmatic auction, which
ultimately reduce the cost per ad impression. Also, the algorithm analyses user
purchase history to accurately determine which offer will most likely lead to
conversion.
·
AI
for Dynamic Creative Optimization
Using AI tools and techniques, brands
can create personalized ads that adapt according to the design, colour, and
layout for each individual user as per their tastes and preferences in
real-time.
·
AI
in Product Recommendations
AI determine the purchasing intent
taking into consideration user purchasing history, most popular products,
previous actions, as well as actions of other customers with similar
characteristics and then adds recommended products to the advertising that user
sees on a webpage.
Ad Tech Industry Trends
Here are some of the Ad Tech industry
latest trends shaping online advertising.
·
Ad
Tech Consolidation for More End-to-End Advertising Solutions
As the demand for ease and efficiency is
growing, advertisers can expect media platforms to consolidate for providing
customers with more addressable solutions. The combined data of DMPs, DSPs and
measurement platforms can help to boost ROAs with personalized targeting that
reaches every step of consumer’s journey. Since integrating multiple platforms
means less coordination and reduces the possibility of bidding against oneself,
Ad Tech consolidation open ecosystem where brands have a greater choice and
more control.
·
Improved
Focus on Measurement and Inventory
Advertisers and brands are demanding
more standardized ways of measuring the effectiveness of ads as the Ad Tech is
maturing and opening standards where no single governing body regulates the
marketplace. Viewability has become a key metric for both publishers and
advertisers as it tracks ad impressions that appear “in-view” on a screen as
opposed to impressions served. Selling inventory based on viewability can
enable publishers to offer high-quality inventory at a competitive cost. On the
demand side, advertisers are stressing upon cross-platform measurement
standards for ad serving decisions.
·
Privacy
Laws to Prevent Ad Frauds
Thanks to the concentrated efforts of
publishers to implement brand safety measures like ads. text and brand
controls, the financial losses from ad frauds have hit a slowdown. Ad Tech
players are making moves to combine user privacy and authorized inventory to
avoid privacy-related violations. With more built-in tools and solutions,
privacy compliance is also driving a shift in AdTech capabilities focused on
brand safety to support more accountable and effective advertising efforts.
Conclusion
The introduction of ad tech solutions
has been instrumental in shaping the advertising industry in the digital age. As
Ad Tech will continue to evolve, the media agencies will gain significant
advantage of the opportunities that attributed Ad Tech such as integrating
platforms, data sharing, extending reach across various channels, and so on.