Use Cases of AI Creative Insights

Updated 

SUMMARY

This article covers the use cases and value of AI-Powered creative insights


Personas

  • The Ads Media Manager wants to be able to see how many ads are aligned and not aligned with the individual best practice

  • The Media Manager wants to be able to see which element is working best for different content/ad types

  • The Media Manager wants to be able to leverage pre-defined creative best practices for evaluating their team's creatives

  • The Creative Manager wants to ensure any creative/post that is being created is aligned with what has been working

Use cases

  • With a large volume of creatives being created across multiple designers and agencies, it is difficult to ensure they are of high quality and adhere to the brand guidelines.

  • Creative and media teams often struggle to identify meaningful insights in their creatives that can then be used to improve performance.

  • Social Media platforms establish best practices guidelines. However, identifying non-compliant creatives manually can become a tedious and time-consuming process as these recommendations evolve and change.


Challenge

Solution

Rising Media Costs: Using poor and non-compliant creatives result in higher cost per results for your campaign

Improve performance: With better creatives and lower cost per result you can save budget to reinvest as well as drive better results.


Lack of Insights : Creative & media teams are at an impasse as they struggle to identify meaningful insights to inform on building high performing creatives.


Provide data-backed Feedback: Analyze creative insights against each of your best practice guidelines to tell which ads align (or don't) with the guidelines.


Compliance Risk: Identifying non-compliant creatives manually becomes a tedious process with evolving regulations across industries.


Automate Compliance Score & Checks: Automate the tedious process of ensuring content is compliant with local regulations.



The value

Leveraging Sprinklr’s AI, brands and agencies will be able to:

  • Improve performance: With better creatives and lower cost per result, you can save budget to reinvest as well as drive better results.

  • Provide data-backed Feedback: Analyze creative insights against each of your best practice guidelines to tell which ads align (or don't) with the guidelines.

  • Channel best practice compliance score: Check the best practice compliance score to ensure creative is compliant with the channel best practice