Machine Learning Based Predictive Analytics For Advertising Industry

Application Screenshots

Technology Stack

Problem Statement

null

Measuring ROI (Return on Investment): It can be difficult to accurately measure the return on investment of an advertisement campaign, as there may be several factors that contribute to sales, and it can be challenging to isolate the impact of the advertisement.

null

Assessing reach and engagement: Marketers need to assess the reach of the advertisement and gauge how engaged the target audience is with the advertisement.

null

Dealing with limited data: Marketers often have limited data to work with, which can make it challenging to assess the success of an advertisement campaign.

null

Identifying the right metrics: There are many metrics that can be used to measure the success of an advertisement campaign, and it can be challenging for marketers to identify the most relevant and meaningful metrics for their specific campaign.

null

Managing budgets: Marketers need to manage budgets effectively, balancing the cost of the advertisement campaign with the expected return on investment.

Talk To Our Expert Team!

Solution Overview

null

OptiSol partnered with a startup to develop a machine learning model to evaluate the performance of an advertisement campaign.

null

We used various advertisement variables like cost per click, click rate, and cost per result to train our ML model.

null

Marketers can access the results through a dashboard, where they can view performance reports for each advertisement, including the overall cost per click.

null

The actionable insights from the solution helped the marketers determine the areas of improvement, and visualized trends, and patterns, to attain an informed decision.

null

The solution also involved building a regression model to predict the cost per result of an advertisement campaign.

Talk To Our Expert Team!

Business Impact

null

Improved decision-making: The insights generated by the machine learning model can help marketers make more informed decisions about their advertisement campaigns.

null

Increased efficiency: The machine learning model can automate and streamline the data analysis process, saving marketers time and resources.

null

Improved cost management: The machine learning model can help marketers optimize their advertisement campaigns by predicting the cost per result and identifying areas for improvement.

null

Increased ROI: By making more informed decisions and optimizing their advertisement campaigns, marketers can increase their return on investment.

null

Better targeting: The machine learning model can help marketers better understand their target audience and create more effective advertisements.

Talk To Our Expert Team!

Testimonials of Our Happy Clients

Oli Robinson

Oli Robinson

CEO, Rule:Fresh

"What impressed me the most was their willingness to go above and beyond what was asked."
Dan Talken

Dan Talken

Founder, My Equipment Library, LLC

"We're constantly impressed with their speed and quality of the development that they achieve on a consistent basis."
Ken Kisner

Ken Kisner

Molecule Corp

The best part about working with OptiSol Business Solutions is their commitment to being readily available to their partners. They’re even willing to work into late hours of the night depending on time differences. The solution they produced has already doubled efficiency levels.

Related Success Stories

Artificial Intelligence Powered Automated Resume Ranker

Forecast sales potential & make informed decisions by analyzing…

Know More

Data-Driven Decisions for Fortune 500 using ML

Converting complex data into Power BI reports for better decision-making…

Know More

Artificial Intelligence Powered Automated Resume Ranker

Built a Machine learning pipeline which extracts the text…

Know More

Built Data Aggregation Pipeline for Social Media Influencers

Built a data aggregation pipeline to extract tweets of…

Know More

Related Insights

Top 5 reasons for using Predictive Analytics in Pharma Sales

Predictive analytics has the potential to revolutionize the pharmaceutical industry by helping companies target their sales and marketing…

Read More

Top 5 benefits of using AI for Pharmaceutical Sales

Artificial intelligence (AI) is revolutionizing the way pharmaceutical companies approach sales, by providing new insights into customer behavior…

Read More

Top 5 Machine Learning Techniques for Sales Forecasting

Machine learning helps sales forecasting by using algorithms to analyze historical sales data and make predictions about future sales. It uses time-series…

Read More

Key Features

null

Ability to produce actionable insights in areas of improvements

null

Visualized trends, patterns, to attain informed decision

null

Ability to assess each advertisement’s performance

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

null

50+

AI & ML
Engineers

null

40+

AI & ML
Projects for
reputed Clients

null

5 yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Connect With Us!