Sep 14, 2023
Using predictive analytics, brands can improve their advertising campaigns by fine-tuning and personalizing their messages to resonate with their target audience, says Daniel Yomtobian, a prominent entrepreneur and business leader in the online media space. Big Data has become a valuable asset for advertisers, but it requires proper analysis to deliver actionable insights. The utilization of data analytics tools has become crucial in the competitive advertising industry, especially as consumer behaviors and preferences continue to evolve. Predictive models can assist in identifying important details such as shopping patterns, user habits, and the likelihood of conversion or defection. By leveraging the insights provided by predictive analytics, brands can increase their chances of executing successful campaigns. Additionally, these analytics tools can help marketers improve targeting, customer acquisition, retention, and even reveal new product opportunities and facilitate content monetization. Advertisers need to embrace "Advertising Analytics 2.0" in a world where consumers are exposed to various marketing touchpoints across media and sales channels. These advanced analytics tools can help companies achieve significant improvements in marketing performance. Daniel Yomtobian is recognized as a pioneer and innovator in the online media industry and has been instrumental in maximizing ROI and monetization for advertisers and publishers. He is the CEO of Advertise.com and has received numerous awards for his contributions to the digital advertising ecosystem.
With the insights gleaned from predictive analytics, brands can fine-tune and personalize their messages, which vastly increases their chances of resonating with the intended audience and executing a successful campaign, Daniel Yomtobian notes.
Los Angeles, California, United States - September 14, 2023 /MarketersMEDIA/ —
When it comes to advertising, consumers are more willing to purchase a product if marketing teams manage to discover the target audience. However, that in itself is a significant challenge, which has made Big Data one of the most precious assets for advertisers, comments Daniel Yomtobian, a prominent entrepreneur and business leader in the online media space. “Using their huge troves of information, brands can send the right message to the right audience, thus ensuring the success of their ad campaigns and achieving the desired returns on investment. The caveat is that Big Data on its own is more of a hindrance than an aid: the raw, unstructured sets of information require proper analyses to deliver actionable insights. In the fiercely competitive advertising industry, the utilization of data analytics tools has become absolutely crucial, especially as consumer behaviors and preferences keep changing and raise the bar for end-user experiences,” Daniel Yomtobian adds.
Given the staggering amount of data generated worldwide on a daily basis, advertisers need to go a step further and not simply analyze the information but employ predictive models to gain real benefits. In doing so, they will be able to identify details that truly matter, including shopping patterns and trends, interests, user habits and behaviors, and the likelihood of conversion or defection. With the insights gleaned from predictive analytics, brands can fine-tune and personalize their messages, which vastly increases their chances of resonating with the intended audience and executing a successful campaign, Daniel Yomtobian notes. In addition to improved targeting, customer acquisition, and retention, analytics tools also provide marketers with insights that can reveal new product opportunities and facilitate content monetization.
It can be argued that brands clinging to the old ways of analyzing their ad campaigns put themselves in jeopardy in a world where “consumers are exposed to an expanding, fragmented array of marketing touch points across media and sales channels,” as stated in a Harvard Business Review article. Nowadays, the deluge of data requires what the author refers to as “Advertising Analytics 2.0.” He goes on to say, “Enabled by recent exponential leaps in computing power, cloud-based analytics, and cheap data storage, […] predictive tools measure the interaction of advertising across media and sales channels, and they identify precisely how exogenous variables (including the broader economy, competitive offerings, and even the weather) affect ad performance. The resulting analyses, put simply, reveal what really works. With these data-driven insights, companies can often maintain their existing budgets yet achieve improvements of 10% to 30% (sometimes more) in marketing performance.”
Daniel Yomtobian has come to be regarded as a pioneer and innovator in the online media space, receiving a number of awards for his contribution to the digital advertising ecosystem. Relentlessly committed to helping advertisers and publishers maximize their ROI and monetize their solutions, he has been the driving force behind several business ventures, including PPC network Advertise.com. Daniel Yomtobian attended California State University-Northridge.
Daniel Yomtobian Advertise.com CEO – Dedicated to Helping Advertisers and Publishers: http://www.DanielYomtobianAdvertiseCEO.com
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Contact Info:
Name: Daniel Yomtobian
Email: Send Email
Organization: Advertise.com
Address: 15303 Ventura Blvd Ste 1150 Sherman Oaks, CA 91403
Phone: +1-800-710-7009
Website: https://www.advertise.com
Release ID: 89107497
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