Brands
MRUC adds Andhra Pradesh data to IRS Q3 2019 report
MUMBAI: Media Research Users Council (MRUC) on Monday released an updated report of Indian Readership Survey (IRS) for the third quarter of 2019 that includes data from Andhra Pradesh too. The quarter three report was already published on 27 December 2019 sans Andhra Pradesh’s data in the view of the sample short.
The report mentioned that Andhra Pradesh has sustained its level at 16 per cent in Q3, same as that in Q2 2019, in the category 'To Understand and Read the English Language Content', whereas it had marginally increased in Q1.
With respect to total readership and average issue readership, Andhra Pradesh reported a decreased performance at 26 per cent and 11.1 per cent respectively in Q3 against 28 per cent and 12.5 per cent in quarter two of 2019.
Since the southern state’s data was yet to incorporate in the Q3 report, the industry had to refrain from the comparative analysis and from publishing their all India numbers/rankings.
The IRS 2019 Q3 report is rolling average of the last quarter of 2017 and subsequent three quarters of (Q1+Q2+Q3) of 2019. The fieldwork covers between August 2019 and November 2019.
The report earlier had also failed to add the fieldwork data from Jammu and Kashmir affected because of administrative and political developments in the region.
The IRS Q3 report includes data of all India ranking for dallies, magazines and radio stations.
Brands
Creative Intelligence: Using AI to Predict Which Ads Will Actually Convert
Priyanka Aeron, Director & Co-founder of Thrive Global AI
MUMBAI: In a heavily populated digital landscape, simply being creative with your advertising will not guarantee that your ad will be successful. In fact, brands today are producing more content than ever. However, very little of that results in actual engagement or sales. However, Creative Intelligence, powered by AI, is fundamentally transforming the advertising industry.
Creative Intelligence utilizes data, machine learning, and statistical behavioral insights to analyze and predict how well a creative asset will perform prior to it being published. Therefore, marketers no longer have to rely on either their gut instincts or post-campaign analytics for making informed decisions before production. That said, AI-powered creative intelligence greatly improves results and decreases wasted dollars spent.
Moving Beyond Guesswork
In the past, making ads was a mix of gut feeling, experience, and A/B testing. These methods were useful, but reactive by nature. People have already spent their budgets by the time the results are looked at. AI models can find patterns that are linked to higher engagement and conversion rates by looking at huge datasets. These datasets can include things like past campaign performance, audience behavior, and visual elements like color, composition, and facial expressions. This helps marketers guess which ads will do well even before they go live.
Decoding What Truly Drives Conversions
AI-powered creative intelligence allows for an evaluation of advertisements that is not limited to the basic data but also explores the elements of an effective advertisement through subtle reactions; clarity and directness of the ad message and how well the ad captures audience’s attention in the first three seconds. AI can also provide insights into the successful use of advertisements directed to human faces, which connect through eye contact based on media channels, and how advertisements that utilize shorter but clear calls to action may produce more clicks from certain populations. The insights, provided through AI, provide marketers with the ability to think beyond creating more advertising material and additionally create more effective ad campaigns that actually convert.
Personalization at Scale
Consumers expect relevance more than ever. Irrelevant mass messaging is not going to work in a society inundated with information. Hyper-personalization, using AI, allows companies to create content that suits individual segments within their target markets based on their demographics, interests, and behaviors. Rather than having one single message that aims to reach everyone, brands can have many versions of their messages tailored to each segment within the market. Such flexibility is what makes campaigns successful nowadays.
Faster Iteration, Better Results
Another advantage to using AI in creative decision-making is speed. Companies must improvise because their campaign cycles are shorter than ever before, and having the ability to iterate rapidly is more important than it has ever been. There is no greater way to do this work than through AI, as new technologies give brands the ability to test multiple creative avenues and figure out which ones are working well. This reduces a lot of the testing that companies would otherwise have to do and makes the process faster.
With AI, brands can also make creative changes in real-time during a campaign, allowing the, to make vital decisions and adjust their creatives, rather than waiting out. This allows for faster adaptability, well-tested campaigns and reduced lost ad spend.
The Human-AI Collaboration
Even though AI is capable of performing certain tasks, its purpose is not to eliminate human creativity. Successful campaigns require human collaboration with computer intellect since both complement each other. While computers are capable of dealing with massive amounts of information, discovering patterns, and providing predictions, humans are the one to inject stories and emotions into campaigns.
The Future of Advertising
As the complexity of advertising becomes harder with the passage of time, Creative Intelligence will play a significant role in helping marketers formulate a strategic approach. The yardstick that will set standards for determining whether a marketing firm has fulfilled its responsibilities will be the forecasting of future outcomes, as well as personalized content and optimization of creative elements in real-time. In contrast to the existing scenario where the campaigns remain fixed, these campaigns will be capable of adjusting themselves according to the customer interacting with the brand, as well as other trends on social media channels. This will enable brands to offer customers an engaging experience that will exceed expectations. The biggest hurdle marketers will face will be finding ways to utilize these capabilities without compromising branding and enhancing the creativity of the team involved.
