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Adtheorent Holding Company Inc   (ADTH)
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Price: $3.0600 $-0.17 -5.263%
Day's High: $3.46 Week Perf: 6.62 %
Day's Low: $ 2.75 30 Day Perf: 7.37 %
Volume (M): 416 52 Wk High: $ 3.98
Volume (M$): $ 1,274 52 Wk Avg: $1.66
Open: $3.22 52 Wk Low: $1.11



 Market Capitalization (Millions $) 270
 Shares Outstanding (Millions) 88
 Employees 292
 Revenues (TTM) (Millions $) 163
 Net Income (TTM) (Millions $) 6
 Cash Flow (TTM) (Millions $) -26
 Capital Exp. (TTM) (Millions $) 7

Adtheorent Holding Company Inc
Founded in 2012, we are a digital media platform which focuses on performance-first, privacy-forward methods to execute programmatic digital advertising campaigns, serving both advertising agency and brand customers. Without relying on individualized profiles or sensitive personal data for targeting, we utilize machine learning and advanced data analytics to make programmatic digital advertising more effective and efficient at scale, delivering measurable real-world value for advertisers. Our differentiated advertising capabilities and superior campaign performance, measured by customer-defined business metrics or Key Performance Indicators ('KPIs'), have helped fuel our customer adoption and year-after-year growth.
We use machine learning and advanced data science to organize, analyze and operationalize non-sensitive data to deliver real-world value for customers. Central to our ad-targeting and campaign optimization methods, we build custom machine learning models for each campaign using historic and real-time data to predict future consumer conversion actions for every digital ad impression. We have integrations with Ad Exchanges/Supply Side Platforms (SSPs), from which we are sent ad impression opportunities to evaluate and purchase. We predictively score all of these ad impression opportunities for the purpose of deciding which ad impressions will likely drive valuable conversions or engagement activity for our customers. Our predictive platform scores over one million digital ad impressions per second and 75 billion to 90 billion digital ad impressions per day, assigning a 'predictive score' to each. Each predictive score is determined by correlating non-personal data attributes associated with the particular impression with data corresponding to previously purchased impressions that yielded consumer conversion or engagement activity. Such non-individualized attributes include variables such as publisher, content and URL keywords, device make, device operating system and other device attributes, ad position, geographic data, weather, demographic signals, creative type and size, etc. The 'predictive scores' generated by our platform allow us and our advertising clients to determine which ad impressions are more likely or less likely to result in client-desired KPIs. Our machine learning models are customized for every campaign and our platform 'learns' over the course of each campaign as it processes more data related to data attributes and actual conversion experience. Based on these statistical probabilities or 'predictive scores,' our platform automatically determines bidding optimizations to drive conversions and advertiser ROI or 'return on ad spend' ('ROAS'), bidding on less than .001 of the evaluated impressions. Our use of machine learning and data science helps us to maximize efficiency and performance, enabling our customers to avoid wasted ad spend related to suboptimal impressions such as impressions that are predicted to be at a greater risk for fraud/invalid traffic or impressions with a higher likelihood of being unviewable, unmeasurable, and not brand safe, among other factors.
Our capabilities extend across the digital ecosystem to identify and engage digital actors with the highest likelihood of completing customer-desired actions, including online sales, other online actions, and real-world actions such as physical location visitation, in-store sales or vertical specific KPIs such as prescription fills/lift or submitted credit card applications. Our custom and highly impactful campaign executions encompass popular digital screens ' mobile, desktop, tablet, connected TV ('CTV') ' and all digital ad formats, including display, rich media, video, native and streaming audio. We actively manage our digital supply to provide advertisers with scale and reach, while minimizing redundant inventory, waste and other inefficiencies. Our CTV capability delivers scale and reach supplemented by innovative and industry recognized machine-learning optimizations towards real-world actions and value-added measurement services.

Our platform and machine learning-based targeting provide privacy advantages that are lacking from alternatives which rely on individual user profiles or cookies employing a 'one-to-one' approach to digital ad targeting. Our targeting approach is statistical, not individualized, and as a result we do not need to compile or maintain user profiles, and we do not rely on cookies or user profiles for targeting. Our solution-set is especially valuable to regulated customers, such as financial institutions and pharmaceutical companies, and other privacy-forward advertisers who desire efficient and effective digital ad-targeting without individualized or personal targeting data. We adhere to data usage protocols and model governance processes which help to ensure that each customer's data is safeguarded and used only for that customer's benefit, and we take a consultative and collaborative approach to data use best practices with all of our customers.


   Company Address: 330 Hudson Street New York 10013 NY
   Company Phone Number: 804-1359   Stock Exchange / Ticker: NASDAQ ADTH
   


Customers Net Income fell by ADTH's Customers Net Profit Margin fell to

-59.85 %

7.9 %

• Customers Performance • Customers Expend. • Customers Efficiency • List of Customers


   

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SST   -11.83%    
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TTD   -2.59%    
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Contract

AdTheorent Partners with Adelaide to Drive Campaign Optimization and Achieve Measurable Performance Growth

Published Tue, Jan 16 2024 2:30 PM UTC

In today's rapidly evolving digital advertising landscape, staying ahead of the curve is essential for businesses looking to maximize their campaign performance. AdTheorent Holding Company, Inc. has stepped up to the challenge, forging a strategic partnership with Adelaide to leverage attention-based metrics for campaign optimization and measurement. This collaboration marks...

Adtheorent Holding Company Inc

AdTheorent Holding Company Inc Records $6.25 Million Tax Charge Amid Financial Setbacks

AdTheorent Holding Company Inc, a machine-learning pioneer and industry leader in programmatic advertising, recently announced its financial results for the fiscal time-frame ending September 30, 2023. During this period, the company experienced a slip into a loss of $-0.05 per share compared to a profit of $0.06 per share the previous year. Income per share also fell from $0.09 to an unspecified amount in the prior quarter.
Despite these setbacks, AdTheorent saw a significant increase in revenue. The revenue advanced by 8.796% to $40.89 million from $37.58 million in the same quarter the previous year. Moreover, sequentially, the revenue advanced by 8.788% from $37.59 million.

Adtheorent Holding Company Inc

AdTheorent Holding Company Inc. Sees Revenue Boost to $37.59 Million, Driven by a Whopping $7.67 Million Tax Provisions



Adtheorent Holding Company Inc (ADTH) has recently experienced a significant decline in income and net profits, raising concerns among investors and analysts. The financial period ending June 30, 2023, saw a substantial drop in income, revenue, and net profits, indicating a challenging operating environment for the company. Despite recent gains in its stock price, the underlying financials paint a bearish picture for ADTH.
Declining Income and Revenue:
In the second quarter of 2023, ADTH's income fell sharply by -85.48%, dropping from $0.62 per share to a mere $0.09 per share, compared to the previous year. This decline in income is alarming and raises questions about the company's ability to generate sustainable profits.

Adtheorent Holding Company Inc

Adtheorent Holding Company Inc Reports Moderately Below Average Revenue in Q1 2023 Financial Results

Adtheorent Holding Company Inc reports improved financial performance
Investors of Adtheorent Holding Company Inc have reason to smile as the firm reported improved financial performance in its latest financial results. For the financial period ending March 31, 2023, the company posted a loss of $-0.06 per share compared to $-0.49 a year ago. Additionally, the company's EPS fell from $0.05 per share from the preceding financial reporting period.
The Adtheorent Holding Company Inc also reported a revenue contraction of -4.576% to $32.67 million from $34.24 million in the similar financial reporting period a year ago. Sequentially, Revenue Tumbled by -36.9% from $51.78 million. However, despite the slump in revenue, Adtheorent Holding Company Inc reported a net loss of $-5.223 million, which is a significant improvement from the deficit of $-42.290 million that was reported in a similar financial period a year ago.






 

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