-- Marketing departments must first identify the target audience of a product if they want it to sell well. But this can be a daunting challenge if they don’t know how to use one of the most precious assets for advertisers: Big Data, said Daniel Yomtobian, a prominent entrepreneur and business leader in the online media space. “By leveraging vast reservoirs of consumer data, brands can tailor messaging with precision, reaching the appropriate audiences and maximizing the impact of their advertising efforts,” explains Daniel Yomtobian. “However, Big Data in its raw form can be more overwhelming than useful—without the right analytical tools and frameworks, it’s just noise. In today’s highly competitive digital advertising space, where consumer expectations are constantly evolving, turning data into clear, actionable insights is no longer optional—it’s essential for staying relevant and delivering meaningful user experiences.”
Given the staggering amount of data generated worldwide daily, 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 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
Video URL: https://www.youtube.com/watch?v=J2fvpsHCFg0
Release ID: 89160258
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