By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: AI And BI Are Vibrantly Sparking New Trends In Affiliate Marketing
Share
Notification Show More
Latest News
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Artificial Intelligence > AI And BI Are Vibrantly Sparking New Trends In Affiliate Marketing
Artificial IntelligenceBusiness IntelligenceExclusiveMarketing

AI And BI Are Vibrantly Sparking New Trends In Affiliate Marketing

Sean Parker
Last updated: 2020/01/27 at 4:47 PM
Sean Parker
9 Min Read
SHARE

The market for affiliate marketing is expected to reach $8.2 billion by 2022. AI is making it easier than ever to succeed in this growing field.

Contents
AI is the Key to Driving Growth in Affiliate MarketingBusiness Intelligence Artificial Intelligence The use of BI in affiliate marketing The use of AI in affiliate marketingThe synergy of BI and AI Creating a Successful Affiliate Model with AI

The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. No wonder, more or less but the majority of marketers have already applied them both at their campaigns. Companies like Propel Media are using machine learning to deliver ads to customers that are most likely to convert. Bloggers are using AI to better identify target customers and create the right content for them.

And as they say, taste once and you will not be able to refuse another time! And there is no need to! With every year, AI technologies only become stronger and introduce new features. They automate a large amount of work and help manage marketers’ work properly. And as marketers quickly get used to innovations that significantly improve their work, they tend to generalize AI and BI. The lack of nuance can cause them to mislead themselves and others in what is what. 

Chief Marketer talked about some of the ways that AI is changing the field of affiliate marketing. You can review their content for more details, but we have summarized a lot of the concepts here.

More Read

internet of things and business intelligence

How IoT Can Be Connected to Business Intelligence

14 Brands Using Mobile Apps Instead of Ads to Build Customer Loyalty
5 Vital Business Intelligence Tips All Companies Should Embrace
Impressive Ways that AI Improves Business Analytics Insights
What Data Methods Can Businesses Invest In to Get Better Consumer Results?

AI is the Key to Driving Growth in Affiliate Marketing

Therefore, in the following paragraphs, we would dive into the details of AI and BI. We will clarify the differences between them and showcase how AI and BI work alone and together, and how their synergy can make ad campaigns stronger. 

Both AI and BI are deployed by collecting and analyzing large volumes of data. They both are aimed at easing the working process, releasing from manual work, speeding up the decision-making process, and making it more data-driven. Somewhat similar definitions might be misleading. Two word-combinations, both consist of two words and have “intelligence” as a common one. When in fact, it is not the same intelligence. In AI it refers to computer intelligence, while in BI it is about smart decision-making in business influenced by data analysis and visualization. 

Though there is an inevitable overlap, these two are not the same. Let’s once and for all draw a distinction between these two definitions.     

Business Intelligence 

The aim behind BI is to streamline the process of collecting, organizing, and analyzing data. BI tools allow companies to significantly improve the quality of the data they collect and its coherence. They can turn mountains of data from absolutely puzzling mess to a pretty coherent picture. Ideally, this data extracted by BI should provide marketers with information on advertisement trends, audience engagement with creatives, and resource allocation. Companies’ data can indicate the viability of the current strategy and help in the planning of future growth hacking actions. In this way, BI carries out its mission – to simplify marketers’ work with data. 

Artificial Intelligence 

AI represents the ability of a machine or a computer program to think and learn. In plain language, it means that AI explores the use of computer systems to imitate various patterns of human behavior. Thus, when applied to affiliate marketing, instead of the constant human presence, AI can decide how to update the program setting and which traffic to send to which offer. 

The use of BI in affiliate marketing 

Over the course of running ad campaigns, marketers collect high volumes of all-encompassing data that they further translate into strategies for future ad campaigns. The problem that comes along with this amount of data is its storage. For most companies, it is stored in massive spreadsheets or servers, scattered across different sources. To analyze the full campaign’s performance, as a first step, marketers need to pull all this data from different sources into a single view. And for this, they need BI integration tools.  

As an example, let’s have a look at Data Fusion. Data Fusion is a BI integration service created by Affise performance marketing platform, that transfers all the data from its platform to customers AWS and Google accounts.

It works as follows: Affise users integrate Data Fusion, and once the integration is established, Affise transfers reams of users’ data to their AWS and Google accounts. In this way, users get all their data on their advertising campaigns in one place. And as the next step, the data is sent to such leading-edge BI tools, as Google Data Studio, Power BI, Oracle BI, Tableau, etc., where data is visualized in multiple easy-to-understand graphs and reports. 

The use of AI in affiliate marketing

AI helps to process a massive amount of data, and using the machine learning approach detects advantageous behavior patterns. In affiliate marketing, AI is often used to automate traffic management, validate broken and expired links, keep numerous offers under one link, and with ML methodology distribute relevant traffic on more beneficial offers. 

Obviously, all affiliates want to manage the quality of their traffic smartly to increase their ROI subsequently. An essential help in achieving this is provided with the CR optimization tool, which is available on most affiliate marketing platforms. The tool checks data compliance with the preset CR restrictions, based on that filters traffic and sends it to the most likely to be converted offers. 

Also, AI is good at preventing fraud in affiliate campaigns. In comparison to the other option, rules-based methodology, the Machine Learning approach is much more reliable when it comes to tackling fraudulent online attacks in affiliate campaigns. ML algorithms analyze dozens of metrics and connections between them and consequently stop fraudulent traffic. Take an example of a click-level fraud prevention tool. It is developed to eliminate fraud attacks by filtering VPN, non-earmarked traffic from bots and proxies, etc. The tool runs fraud checking in real-time – ensuring the high quality of detecting and blocking fraudulent traffic before it can hurt the destination website.

The synergy of BI and AI 

BI and AI are self-contained but complementary. If used separately, they don’t tap the full potential.  BI helps companies to organize the massive amounts of data they own, but neat visualizations and dashboards may not be enough. You may have a nice picture, but BI tools alone are not designed to provide precise guidelines on how to use this for decision-making. 

The overlap of AI and BI is not an exchangeability of each other, but rather a beneficial supplement. By supplementing BI with AI, marketers can turn a vast amount of neat graphics into a concrete roadmap for their business. In this way, they can automatically analyze the old data, compare with the new one, and on this basis, adjust settings and create new features. In other words, you will get direct actions derived from your analytics.

Creating a Successful Affiliate Model with AI

Here is some advice. Keep implementing the best of AI automation features – optimize the traffic to reach the targeted audience, automate the tedious workflow, continuously validate “living status” of links, prevent your campaigns from fraud. And at the same time, don’t be scared of BI with Big data. The future of AI and BI depends on each other; together they have the power to revolutionize the usual way of doing business.

TAGGED: affiliate marketing, business intelligence, marketing
Sean Parker January 27, 2020
Share this Article
Facebook Twitter Pinterest LinkedIn
Share
By Sean Parker
Sean Parker is an entrepreneur and content marketer with over 5 years of experience in SEO, Creative Writing and Digital Marketing with Rank Media. He has worked with several clients from all over the globe to offer his services in various domains with a proven track record of success.

Follow us on Facebook

Latest News

data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

internet of things and business intelligence
Internet of Things

How IoT Can Be Connected to Business Intelligence

6 Min Read
businesses using mobiles app for success
Big Data

14 Brands Using Mobile Apps Instead of Ads to Build Customer Loyalty

19 Min Read
tips for making the most of business intelligence
Business Intelligence

5 Vital Business Intelligence Tips All Companies Should Embrace

7 Min Read
ai is beneficial for making sounds business analytics insights
Analytics

Impressive Ways that AI Improves Business Analytics Insights

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?