The first machine learning algorithm for message analysis

Messaging is the most necessary part of marketing, and compelling messaging can provide credibility and makes the product or brand more popular. This heuristic Kristl algorithm helps to improve messaging and makes them more effective. This program works with behavioural science and artificial intelligence to create a performance scorecard for messaging in all brands and order them according to their category. Usage of AI makes this program more efficient with different self-evolving technologies.

This program has a deep learning mechanism that helps find the language in the message with the use of heuristics and tells about the message's effectiveness. Most of the marketing messages concentrate on advertising their brand. For efficiency, this program analyzes all the brand messages, first with the competitors, then with the best messaging Database, finally with all heuristic drivers of the particular message category. This program will educate the user about the performance of their messages.

Program comparison 

This program is an excellent replacement for ATUs and sales recall limitations or message recall studies. The ATU stands for  Awareness trial usage studies compared with this new message analysis program, and the ATU has fewer features. The cost of ATU and other similar programs are high, and they have less turnaround or return of investments (ROI). This ATU doesn't have the capability for industry-based comparisons. And it doesn't have the option for analysing messaging drivers.

But this message analysis program has many futuristic features. It is fast in work by replacing market research and in-market tracking with Artificial intelligence. This program helps to score all messages and not only samples like other similar programs. This program has an easy work interface, and it will send an email to both users and their competitors. It works at a low cost, and the return of investment from the program will be very high.



Uses of this program

This program is prescriptive, and it not only measures but also helps to improve messaging. This Kristl program improves messages in various ways. It replaces the letters that are for non-dominant heuristics. It removes less performing notes and makes them more effective, and the program covers the gaps between the messages with required new notices with the help of artificial intelligence. For the scorecard, messages that go through any channel can be a part of the scorecard.

This program is beneficial for omnichannel messaging performance assessments. This program of Kristl is helpful for the ad-hoc evaluation, which will be appropriate for fewer competitors categories and with shallow message refresh frequency. This program is also beneficial for recurring assessments suitable for the active types, which have many competitors and options for frequent messaging services. These are the actual uses of this message analysis program and make many differences, with additional features.

Performance scorecard

This message performance scorecard will help the user to know about the effectiveness of their messaging. This Kristl will evaluate all the messages and competitors of the users and even through all possible channels. It does all these activities without any primary market research, and it makes much difference. These are the advantages of Kristal.


Also read -

A Program Designed For Segment-based Messaging















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