AI-Driven Audience Analysis On Multiple Platforms
Budget: $20 – $30 NZD
I'm looking for an expert in AI audience targeting to perform analysis on Facebook, Instagram, and WhatsApp user data.
A worthwhile candidate for this task should:
- Be proficient in AI and data analysis, prompt engineering.
- Possess a keen understanding of audience targeting strategies,
- Have experience working with multiple social media platforms.
- Be able to demonstrate ability to read the audience and add otyer date from a post quickly.
Specific Demographics:
I need detailed targeting of the audience based on Age, Gender, Location, Purchasing Power, and Predictive Buying Likelihood. An understanding of buying behavior analysis will be a plus.
Data Sources Utilized:
The required analysis should consider data from Social Media, Website Analytics, and our Customer Database.
Prior experience in integrating and analyzing data from these sources is a must.
We want to achieve the following.
What i meant to say is with Ai audience understanding, and the size of our audiences, over 1.5 m now, we can do a post about a car, say we posted "What colour Mercedes do u love the most? and show black and blue, answer to win dinner for two at x restaurant.
We scrape the people that replied in the post string using ai , and predict who is most likely, in order to be able to buy a car and share that info with the customer. We then re target them until they buy from Wellington live, pages,web site, blogs, groups or distribution lists.
We own our audiences so we dont have to pay to post or reach.
A new wave of making money i hope.
A worthwhile candidate for this task should:
- Be proficient in AI and data analysis, prompt engineering.
- Possess a keen understanding of audience targeting strategies,
- Have experience working with multiple social media platforms.
- Be able to demonstrate ability to read the audience and add otyer date from a post quickly.
Specific Demographics:
I need detailed targeting of the audience based on Age, Gender, Location, Purchasing Power, and Predictive Buying Likelihood. An understanding of buying behavior analysis will be a plus.
Data Sources Utilized:
The required analysis should consider data from Social Media, Website Analytics, and our Customer Database.
Prior experience in integrating and analyzing data from these sources is a must.
We want to achieve the following.
What i meant to say is with Ai audience understanding, and the size of our audiences, over 1.5 m now, we can do a post about a car, say we posted "What colour Mercedes do u love the most? and show black and blue, answer to win dinner for two at x restaurant.
We scrape the people that replied in the post string using ai , and predict who is most likely, in order to be able to buy a car and share that info with the customer. We then re target them until they buy from Wellington live, pages,web site, blogs, groups or distribution lists.
We own our audiences so we dont have to pay to post or reach.
A new wave of making money i hope.
Related categories:
Matlab and Mathematica
Facebook Marketing
Algorithm
Statistics
Social Media Marketing