#ProgrammaticAdvertising

[newengen]

Holiday 2023 Outlook for Consumers and Marketers

Inflation has been on the decline for over a year, and in June it fell to 3% - the lowest rate recorded since March 2021. Coupled with this is a steady rise in consumer confidence, which in June hit a high not seen since early 2022. And even though these trends are a step in the right direction, economic uncertainty is still expected to play a large role in the purchasing decisions being made this holiday season. Price-conscious consumers will look to cut costs by shopping the sale section, using coupons, downsizing holiday celebrations, and simply buying fewer items. With so many brands competing for share of wallet, it won’t be enough to differentiate on price alone. Instead, brands should make a concerted effort to secure share of mind right now so that they are top of mind during the holidays and beyond.

At a high level, the best way to accomplish this is twofold. First, it’s critical to embrace an audience-first, channel-agnostic mindset so that you are reaching the right audience at the right time. Once you’ve found your audience, it’s important to meet them with strong messaging that is centered on brand value. In this article, we make the case for programmatic channels as effective marketing avenues for expanding brand reach and, ultimately, nurturing long-term brand favorability (i.e., when the holidays roll around).

Changing the Narrative on Programmatic Advertising

Let’s start with some housekeeping - when we talk about programmatic, we’re referring to a method for buying ads on specific channels, including Display, Video, Audio, and Digital Out of Home. Within each channel, there are myriad ways to target audiences based on interests, behaviors, device, location, and demographics.

“When you bring up programmatic to a performance marketer, you might see their eyes glaze over - they’re imagining annoying banner ads placed on low-quality inventory that don’t drive results,” says Erin Morningstar, Director of Strategy at New Engen. This attitude is pervasive and, according to Erin, informs the two primary reasons that brands are wary of investing in programmatic advertising: concerns about brand safety and equity, and limitations of measurement. These reservations are understandable, especially if you believe that programmatic is strictly used for generating brand awareness. But Erin explains that "programmatic is more than banner ads or dynamic product retargeting - it’s the turnkey option for accessing the wealth of ad inventory outside of walled gardens and paid search."

Teka Phan, Associate Director at New Engen, adds:

It’s important to understand that programmatic buying is performance buying. It powers actionable insights into how this media drives actions and conversions across the entire marketing funnel.

The reality of digital marketing in 2023 is that brands can’t successfully grow on the Meta-Google duopoly alone (the aforementioned walled gardens). Instead, it’s essential to meet your customers, both existing and prospective, where they are. This begs the question - where are they?

Media Consumption is Changing (Rapidly)

The channel landscape is more diverse than ever, and consumers are increasingly discovering brands through podcasts, in-app ads, and music streaming services. eMarketer predicts that, by 2024, 20% of all time spent consuming digital media will come from audio. What’s more, CTV already constitutes more than 25% of the time consumers spend with digital media, yet accounts for less than 10% of digital ad spending in the US. To put this in context, Meta receives roughly 20% of ad investment despite representing just 7.6% of all digital media consumption.

This is precisely why we, as an agency, believe that brands can win on channels like digital audio, CTV, and yes, even display. It’s true that direct-buying channels are often part of a mature media mix for many brands. But the benefit of embracing a programmatic-first approach is that it allows marketers to keep an eye on performance at scale while maintaining a direct buy approach for branding-first initiatives.

The Benefits of Investing in Programmatic

Thought leaders at New Engen have identified four primary benefits to investing in programmatic:

Control: Despite some preconceived notions, programmatic ad buying affords marketers tighter control over targeting, placements, and optimization. This level of control enables measurement testing in the form of geo holdouts, known audience split tests, and platform lift tools. Such exercises are critical to proving the value of channels outside of last-click.

Flexibility: Budgets can be seamlessly moved around across channels and publishers on a daily or even hourly basis. In contrast, brands buying directly from multiple publishers are beholden to more rigidity driven by campaign minimums and contract terms.

Value at Scale: Not only are CPMs generally cheaper when buying programmatically, but DSPs often provide access to a variety of inventory types, formats, and audiences - in turn, this variation powers the development of diverse, mature programs. The inventory is virtually endless and continuing to grow as more platforms and publishers open their inventory to exchanges.

Actionable Insights: By investing in programmatic activations, brands can quickly gather learnings about what kind of inventory and formats are driving performance. While this may not be a unique function of programmatic channels, it’s differentiated by actionability - “Many people see programmatic as an upper funnel, impression-buy only. The value is that we can measure action (conversions, traffic, etc.) and then act on it in real-time,” Teka explains.

How New Engen Clients Have Found Success With Programmatic

Programmatic buying has driven strong results for New Engen clients, with brands finding synergy between their programmatic programs and other marketing channels, including Paid Search and Social. Below are two New Engen case studies that exemplify the benefits of incorporating programmatic into your marketing mix.

Unlocking Incremental Site Traffic Through CTV

In Q4 of 2022, our client, an outdoor apparel brand, tasked us with driving incremental site traffic through new channels. We first identified CTV as their target audience's top digital destination, then we built three rich consumer segments: in-market for outdoor apparel gear, recent competitor site and store visitors, and recent outdoor equipment purchasers. Ads were served across a variety of CTV platforms like Roku, Hulu, Pluto TV, and the Discovery Channel, and optimized based on insights from real-time incrementality studies.

Under this approach, our exposed audience was 2.5X more likely to visit the brand’s site than our non-exposed audience. What’s more, we achieved a 1.9X lift in checkouts. In other words, the brand was able to reach and capitalize on a more qualified audience through its CTV initiative. To top it all off, we identified a previously under-served audience as a standout performer - a learning that is pivotal to refining the program downstream.

Proving the Revenue Impact of West Marine’s Digital Video Awareness Media

In order to validate the direct revenue impact of digital video awareness media, we designed an audience holdout test for our client, West Marine. We activated precision media buys across CTV and YouTube in Florida, a key growth market for the brand. The audience segments included prospecting, retargeting, and lapsed customers, and were compared against national performance.

By the end of the two-week period, the target audience delivered a 1.7X lift in online lapsed user transactions and a 4.6X lift in in-store transactions. Omnichannel ROAS also improved, and West Marine measured a 1.4X increase in year-over-year omnichannel revenue from new-to-file customers.

Programmatic Advertising Best Practices for Holiday 2023

Whether you're bought into programmatic after reading this or just curious to learn more, we want to leave you with our recommendation for what to do next. Here's what New Engen leaders say are the most important steps to successfully incorporate programmatic into your Holiday 2023 strategy:

First and foremost, set clear objectives

→ Identifying what you want to accomplish and learn from your programmatic initiative is the most important step, as this will inform how to design your program. Before you can drive awareness with a new segment or increase AOV within an existing one, you’ll need to understand your audience - then, you can tailor your channels, targeting, and creative parameters to their specific needs. Once you’re aligned on the plan, stick to it.

Set expectations with your team

→ Know that every channel should have its own goals and benchmarks. Don’t track your programmatic performance against your Paid Search campaigns, because these are inherently different channels and so are their outcomes. Performance will even vary across, Podcast, CTV, and Display given their different mediums.

For example, a consumer who searches for “shoes” is more likely to make an immediate purchase because they are actively searching for the product. Programmatic channels, on the other hand, expose audiences to products before they are ready to purchase. So if that same consumer sees a CTV ad for a pair of shoes before they start their search, there’s a likelihood that they will have been influenced before their final purchase decision.

Launch early

→ We anticipate that the holiday season will stretch across Q4, and consumers will start their holiday planning and shopping early - you want to be there when they’re in the consideration stage. As a rule of thumb, you should be in market at least 4 weeks prior to your peak shopping period.

Anticipate different scenarios

→ As an agency practice, we create decision playbooks with our clients going into critical peak periods that allow our teams to move quickly when optimizing campaigns.

If you’re interested in chatting more about your programmatic strategy for the holidays or beyond, reach out to us at programmaticleadership@newengen.com. For more holiday insights and digital marketing news, subscribe to our newsletter and follow us on LinkedIn.

[cyberanalyst023]

Edge Computing: Extending the Power of the Cloud

When I embarked on my journey into the world of cloud technologies, I had little idea how transformative it would be. The sheer breadth of cloud concepts and services initially overwhelmed me. I found it challenging to connect theoretical knowledge with practical applications, often feeling lost amidst the jargon and complexities. However, these problems transformed into learning and understanding by following a well-defined course and experimenting with projects gradually. My foundational knowledge came from an in-depth cloud computing online course with the ACTE Institute. This established a comprehensive view of the foundational aspects of clouds, which, later in life, served as the backbone for my profession as a solution architect. Initially, it was difficult to comprehend the scope of services and technologies, but structured learning with practical examples bridged the gap.

What is Edge Computing?

Edge computing is a technology paradigm that brings computation and data storage closer to the sources of data, such as IoT edge devices, to reduce latency and improve processing efficiency. This shift also has an impact on industries, such as reducing energy consumption and operational costs. An edge device consumes bandwidth by processing information locally, not requiring constant energy to transmit the data to a centralized server. With the reduction in reliance on cloud infrastructure, such big clouds, cost-cutting happens on data transfer as well as storing in a central location, so edge computing comes out as both cost-effective and eco-friendly. This reduces reliance on centralized cloud servers, allowing the edge servers and networks to process critical tasks on-site. Edge computing has significantly improved responses, which makes this shift vital for applications such as real-time processing in autonomous vehicles, healthcare monitoring, and industrial automation.

Edge computing also cuts down bandwidth utilization and operational cost. For example, rather than sending terabytes of raw data to the cloud for processing, edge devices filter and process the data locally, transmitting only what is relevant. This improves efficiency and enhances privacy by keeping sensitive data closer to its source.

Role of Edge Servers and Edge Networks

One of the projects that we implemented recently involved using edge servers for real-time analytics for a smart city initiative. We processed IoT data from sensors in place and saved huge amounts of time on decision-making, as was demonstrated in an example involving the analysis of traffic sensor data for congestion level updates. This improved the efficiency of traffic management systems, reduced fuel consumption from idling vehicles, and enhanced overall urban mobility. Localizing data processing further also helped reduce dependency on central cloud infrastructure for computation by saving cost and improving reliability in case of network disruptions. These scattered servers acted as intermediaries between IoT devices and the central cloud, exposed to strategic locations with the required physical infrastructure for networking. Edge networks further ensured seamless communication, thus reducing latency issues that would have otherwise hampered critical operations, such as traffic management and emergency responses.

One striking example was using edge servers for monitoring traffic congestion. By analyzing data from IoT sensors on the roads, the system provided instant updates and recommendations to drivers. This reduced delays and enhanced overall traffic flow.

Multi-Access and Mobile Edge Computing

I have also looked at multi-access edge computing and mobile edge computing as part of my work. MEC is an extension of cloud capabilities to the edge of the network, presenting the solutions required for low latency in applications such as autonomous vehicles or AR/VR experiences. For example, real-time map rendering can be available for the navigation of autonomous cars in high-traffic areas.

Similarly, mobile edge computing enables mobile devices to process data locally, which can be used for smoother gaming, video streaming, and IoT applications. A recent use case I worked on was leveraging MEC for a sports analytics platform. The platform delivered instant replays and analytics to fans in real time by processing video feeds from stadium cameras locally, creating an engaging experience.

Examples of Edge Computing in Action

During my stay at ACTE, I learned the basics that later helped me design practical edge computing examples in industries like healthcare, retail, and manufacturing. For example:

Healthcare: IoT edge devices monitor patients in real-time, providing critical data to edge servers for immediate analysis. In one hospital project, we used edge technology to track vital signs and alert medical staff during emergencies, significantly improving response times.

Retail: Edge computing technology powers personalized shopping experiences by analyzing customer behavior directly at the store. For example, an edge-based recommendation system suggested products to customers based on in-store browsing patterns, boosting sales.

Manufacturing: Edge computing devices streamline production lines by analyzing machine data on-site, predicting maintenance needs, and reducing downtime. In one factory, deploying edge servers helped identify equipment malfunctions before they escalated, saving significant costs.

Edge Cloud Computing and Platforms

Cloud providers have incorporated edge computing into their services, which gives rise to edge cloud computing. In contrast to the traditional model of cloud, which relies on centralized data centers for processing and storing data, edge cloud computing disperses such capabilities closer to the sources of data. For instance, while a legacy cloud model is likely to have latency issues with the distance between users and servers, edge cloud computing is much faster in responding because data processing is done locally. In addition, edge cloud computing reduces the amount of constant data transfer to a central server, thus cutting bandwidth costs and increasing system reliability in areas where the network is unreliable. Providers like AWS Edge Computing and Akamai Edge Compute offer robust platforms that bridge cloud and edge capabilities. AWS’s services like Greengrass enable developers to run applications locally on IoT devices, allowing for offline functionality and real-time decision-making. Similarly, Akamai’s platform accelerates content delivery and application performance, making it invaluable for industries like e-commerce and media.

During a project with a media streaming company, we used Akamai Edge Compute to optimize video delivery. This means that content will be cached nearer to users in order to lower buffering times and increase viewer satisfaction. In fact, it will show how the edge cloud is enhancing customer experience in every area.

Challenges and Future Trends

Even though edge computing has great potential, it isn't without challenges. In my projects, one challenge always kept on surfacing: making sure that distributed edge locations maintained data security. Each edge server and device offered a potential weakness, necessitating sophisticated encryption and real-time monitoring solutions. A second challenge was the high deployment and maintenance costs of edge infrastructure, which meant careful budgeting and optimization strategies. For instance, in a smart city project, we addressed the above challenges by implementing a mix of lightweight security protocols and periodic audits that balanced performance with cost-effectiveness. These experiences taught me that overcoming edge computing challenges often requires a tailored approach, aligning technology with specific project needs. Security concerns, infrastructure costs, and the complexity of managing distributed networks are significant hurdles. For example, securing data across multiple edge locations requires advanced encryption and monitoring solutions, which can be resource-intensive.

However, progress in edge computing technology is tackling the above-mentioned issues one after another. Trends include introducing AI at the edge, thus making devices capable of learning in real time and adaptation. Besides this, there will be improvement in 5G networks which is expected to strengthen edge computing as well through providing fast, stable connectivity of devices and applications.

Why Edge Computing Matters

In retrospect, I think it is unbelievable how edge computing devices and technologies have changed the way we look at data processing. They extended the power of the cloud to the very edge, which makes it possible for innovative solutions in various sectors, from better health outcomes to transforming retail experiences, and many others.

So if you are also interested in taking up a career in this rapidly changing field, I would say that professional learning is the first step. This is because such a specialized course in cloud computing course in Bangalore from ACTE Institute helped me shape my career into a solution architect. The on-the-job learning and industry insight I received continue to drive me forward in both passion and results.

[hybrid-minds]

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[mfilterit]

Ai in Programmatic Advertising Fraud Detection to Deliver Performance and Sustainability

The rise of programmatic advertising has shifted the focus towards accuracy and automation. It surged from $9.75 billion in 2023 to $12.46 billion in 2024, an annual growth rate of 27.8% and is expected to continue expanding, reaching $28.12 billion by 2028 at a compound annual growth rate (CAGR) of 22.6%. However, with AI coming into the picture, performance programmatic platforms are prone to ad fraud even more. The need for optimization of programmatic media buying with comprehensive ad fraud solution  across the advertising funnel is the necessity to yield results.  

More and more advertisers are pushing for a stronger and harder success KPI in programmatic campaigns. The shift from visibility only to performance-first is underway. With new and upcoming programmatic platforms selling inventory on impressions, it is today evident that impression fraud is 10-15% of campaign spends in the MENA region, as per mFilterIt reports. There is a ROI uplift of 7-10% when advertisers identify and block for Made-For-Ad sites and Ad Frequency cap violations. 

[kiaantechno]

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Ad fraud is a growing concern in the digital advertising world. KiaanTechnology uses advanced fraud prevention algorithms to protect your ad revenue from invalid traffic and fraudulent activity. Our platform identifies and blocks suspicious traffic, ensuring that only legitimate users see your ads. By maintaining a fraud-free environment, KiaanTechnology helps you secure your revenue streams and ensures the integrity of your advertising campaigns.

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As your business grows, so does your need for a scalable monetization solution. KiaanTechnology offers scalable solutions that allow you to handle increased traffic and expand your ad inventory without sacrificing performance. Our platform is designed to grow with your business, ensuring that you can continue to optimize your digital revenue as your audience and content expand.

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KiaanTechnology’s seamless ad solutions offer everything you need to enhance your digital revenue potential. From AI-powered optimization and programmatic advertising to cross-platform monetization and advanced targeting, we provide the tools that enable businesses to maximize ad revenue and streamline their monetization efforts. By leveraging real-time analytics, fraud prevention, and customizable monetization models, KiaanTechnology ensures that your content is always performing at its best, delivering a steady stream of digital revenue for the long term.

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[medexy]

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[poweradspy1231]

Top Strategies For Successful Programmatic Native Advertising Campaigns

[trackonads]

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Publicidad Programática para Campañas Masivas: Estrategias Avanzadas para Alcanzar a tu Audiencia Ideal

Introducción a la Publicidad Programática

La publicidad programática se refiere al uso de software y tecnología para comprar y vender espacios publicitarios de manera automatizada. Este enfoque ha transformado las estrategias de marketing al permitir a las marcas conectar con sus audiencias de manera más efectiva y eficiente. A diferencia de los métodos tradicionales de publicidad, que a menudo requieren negociaciones y procesos manuales, la publicidad programática utiliza algoritmos para facilitar transacciones en tiempo real, optimizando así la colocación de anuncios. El funcionamiento de la publicidad programática se basa en un sistema sofisticado de plataformas de demanda y oferta que operan en conjunto. Las plataformas de demanda permiten a los anunciantes configurar sus campañas y especificar sus objetivos. Por otro lado, las plataformas de oferta son utilizadas por editores para gestionar y vender su inventario publicitario. Esta interacción entre ambas plataformas permite una segmentación precisa y una mejor asignación de recursos, maximizando el retorno sobre la inversión. Entre los múltiples beneficios que ofrece la publicidad programática, destaca la posibilidad de una orientación más precisa hacia el público deseado, la reducción de costos mediante la optimización en tiempo real y la capacidad de analizar el rendimiento de las campañas de manera continua. Las marcas pueden ajustar su estrategia basándose en datos actuales y específicos, lo que aumenta significativamente la probabilidad de éxito en sus esfuerzos publicitarios. La importancia de la tecnología y los algoritmos en la publicidad programática no puede subestimarse. Estos elementos facilitan la automatización de la compra de anuncios, lo que se traduce en mayor eficiencia y eficacia en la ejecución de campañas masivas. A medida que la tecnología continúa evolucionando, la publicidad programática seguirá siendo una herramienta clave para las marcas que buscan alcanzar a su audiencia ideal de manera más acorde a las exigencias del mercado actual.

Estrategias Avanzadas de Segmentación

La segmentación es un componente crítico en la publicidad programática, ya que permite a las marcas enfocar sus esfuerzos en audiencias específicas, optimizando así el retorno de la inversión. Existen diferentes enfoques de segmentación que las empresas pueden emplear, destacando tres categorías principales: demográfica, psicográfica y comportamental. Cada una de estas estrategias ofrece beneficios únicos para alcanzar la audiencia ideal de manera efectiva. La segmentación demográfica implica clasificar a la audiencia según características observables como edad, género, ingresos y nivel educativo. Este enfoque es fundamental, ya que los diferentes grupos demográficos tienen distintas necesidades y preferencias. Por ejemplo, una campaña dirigida a adultos jóvenes puede diferir significativamente en contenido y formato de una dirigida a una audiencia de personas mayores. Por otro lado, la segmentación psicográfica se centra en los intereses, valores y estilos de vida de los consumidores. A través de la recopilación de datos sobre los comportamientos y preferencias personales, las marcas pueden desarrollar perfiles de audiencia más detallados. Esto permite crear mensajes que resuenen emocionalmente con distintos segmentos de la audiencia, aumentando la relevancia y efectividad de las campañas. La segmentación comportamental, por su parte, se basa en las acciones y patrones de compra de los consumidores. Analizar datos en tiempo real permite a las marcas reaccionar rápidamente a las interacciones de los usuarios. Esto abre la puerta a técnicas de remarketing, donde se vuelven a dirigir anuncios a aquellos que han mostrado interés en productos o servicios anteriormente. Personalizar el mensaje para cada segmento, en función de sus comportamientos, es una estrategia valiosa que potencia la conexión con el público y maximiza las conversiones.

Optimización de Anuncios: Mejores Prácticas

La optimización de anuncios es un componente crítico en el éxito de cualquier campaña de publicidad programática. Para maximizar el rendimiento y alcanzar a la audiencia ideal, es esencial implementar una serie de mejores prácticas. Una de las estrategias más efectivas es el A/B testing, que permite comparar diferentes versiones de anuncios para determinar cuál resuena mejor con el público. Este proceso no solo ayuda a identificar los elementos más atractivos de los anuncios, sino que también proporciona datos valiosos sobre las preferencias de los consumidores. Además de A/B testing, el análisis de KPIs (indicadores clave de rendimiento) juega un papel fundamental en la optimización de anuncios. Es crucial establecer y monitorear KPIs relevantes, como la tasa de clics (CTR), el costo por adquisición (CPA) y el retorno sobre la inversión (ROI). Estos indicadores ofrecen una visión clara del rendimiento de la campaña y permiten a los anunciantes realizar ajustes informados. Combinando el análisis de KPIs con los datos de comportamiento de los usuarios, se pueden identificar patrones y tendencias que informen decisiones estratégicas. Otro aspecto importante es la capacidad de realizar ajustes dinámicos en tiempo real. La tecnología de publicidad programática permite a los anunciantes modificar sus anuncios basándose en el rendimiento en tiempo real. Esto incluye cambios en el presupuesto, la segmentación del público y los creativos publicitarios. Al adoptar un enfoque basado en datos analíticos, los marketers pueden optimizar sus campañas de manera continua, asegurando que están aprovechando al máximo su inversión en publicidad. Por último, el monitoreo del rendimiento debe ser un proceso constante. Las campañas de publicidad programática requieren atención constante para adaptarse a un entorno en rápida evolución. Esta vigilancia permite a los anunciantes realizar modificaciones basadas en la efectividad de sus esfuerzos, garantizando así un uso óptimo de los recursos destinados a la publicidad.

Solicitud de Evaluación Gratuita de Estrategia Publicitaria

Si deseas maximizar el impacto de tus campañas publicitarias, te invitamos a solicitar una evaluación gratuita de tu estrategia publicitaria actual. Este proceso está diseñado para ayudarte a identificar tus puntos fuertes y áreas de mejora, utilizando principios de publicidad programática que pueden facilitar un mejor enfoque hacia tu audiencia ideal. El primer paso en este proceso de evaluación consiste en contactar con nuestro equipo a través de nuestro sitio web. Una vez que recibamos tu solicitud, programaremos una consulta inicial para discutir los detalles de tu campaña. Durante esta conversación, se abordarán aspectos clave, como los objetivos publicitarios que persigues, el público al que deseas llegar y las plataformas que actualmente utilizas. El análisis de estos elementos es crucial para obtener un panorama claro de tu estrategia publicitaria global. Después de la consulta inicial, procederemos a realizar un análisis exhaustivo de tu enfoque actual. Este análisis incluirá una revisión de métricas de rendimiento, así como de la segmentación de audiencia y creatividades en uso. Con esta información, nuestro equipo podrá ofrecerte recomendaciones personalizadas y efectivas, ayudándote a comprender cómo puedes optimizar tus campañas y potenciar tus resultados. Además, al identificar áreas de mejora, podrás implementar cambios estratégicos que no sólo incrementarán la eficacia de tus esfuerzos publicitarios sino que también facilitarán una conexión más profunda con tu target. Este enfoque práctico y experto te permitirá visualizar los resultados esperados después de aplicar las sugerencias recibidas, ayudándote a transformar tus campañas mediante publicidad programática y alcanzar tus metas de manera óptima. Read the full article

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The Rise of AI in Programmatic Advertising

Artificial Intelligence (AI) is reshaping the landscape of digital advertising, and programmatic advertising is no exception. Once seen as a futuristic concept, AI has quickly become an integral component of today’s advertising strategies.

Its transformative capabilities, including enhanced targeting accuracy, cost efficiency, dynamic creative optimization, and predictive analytics, are revolutionizing the way ads are bought, sold, and displayed.

As AI continues to advance, it is crucial to understand its current role in programmatic advertising. Is it merely a transient trend, or has it established itself as an indispensable technology?

This blog delves into AI’s significant impact on programmatic advertising, exploring how it enhances targeting precision, streamlines processes, and drives better outcomes.

We'll also address concerns about job displacement, emphasize the necessity of AI adoption, and discuss the imperative for businesses to stay ahead of AI’s evolving capabilities.

In a market where staying competitive is more challenging than ever, AI is no longer a concept for the future—it is the present reality.

AI’s Role in Programmatic Advertising: Temporary Trend or Permanent Shift?

Artificial intelligence is transforming the landscape of digital advertising, including programmatic advertising. Most marketers are either already utilizing AI-driven tools in their programmatic strategies or are planning to do so soon, with only 5% having no such intentions.

AI's capabilities—such as advanced personalization, optimized bidding, and predictive analytics—are set to play a crucial role in the cookieless future, making it a game-changer in the industry. As the programmatic sector continues to evolve with emerging trends, the question remains: is AI merely a passing trend, or is it an essential technology?

What is Programmatic Advertising?

Programmatic advertising is the automated buying and selling of digital ad inventory. It's a process that uses software and algorithms to purchase ad space across various digital platforms, such as websites, apps, and social media, in real-time.  

How Does Programmatic Advertising Work?

Advertisers define their target audience: Advertisers specify the type of audience they want to reach based on demographics, interests, and behaviors.

Real-time bidding (RTB): Advertisers bid on ad inventory in real-time auctions. The highest bidder wins the ad placement.  

Ad delivery:��The winning ad is instantly displayed to the target audience.

Read More

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Doceree is a leading programmatic marketing company for pharmaceutical companies and healthcare marketing agencies.

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How AI and ML Are Shaping Programmatic Advertising

The integration of Artificial Intelligence (AI) and Machine Learning (ML) is revolutionizing programmatic advertising, enabling brands to optimize their campaigns like never before. This article delves into how AI and ML are enhancing targeting, improving ad placements, and maximizing ROI. Discover the future of advertising in a data-driven world.

Read the full article here. Explore the transformative power of AI and ML in advertising!

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Supercharge Your Content Monetization with KiaanTechnology’s Advanced Ad Platform

In the digital age, content creators, publishers, and businesses need an efficient, reliable, and scalable solution to monetize their content. Whether you're a website owner, blogger, or mobile app developer, KiaanTechnology’s advanced ad platform can help you supercharge your content monetization and unlock new revenue streams. With AI-driven optimization, programmatic advertising, and seamless integration, KiaanTechnology offers the tools you need to maximize your ad revenue and streamline your advertising operations.

1. AI-Powered Monetization Optimization

KiaanTechnology’s AI-powered optimization ensures that your ads are shown to the right audience at the right time, maximizing engagement and click-through rates (CTR). By leveraging machine learning, KiaanTechnology continually analyzes data and refines your campaigns to ensure that you are getting the best possible ad revenue from your content. This real-time optimization allows you to stay ahead of trends and continuously improve your monetization strategy.

2. Programmatic Advertising Solutions

Programmatic advertising is the backbone of modern ad monetization, and KiaanTechnology seamlessly integrates programmatic ad solutions into your content platform. Through real-time bidding (RTB), you can access the best ad inventory at the right price, ensuring that your ad spaces are sold efficiently. KiaanTechnology enables you to automate the buying and selling of ads, streamlining your entire monetization process while ensuring you maximize ad revenue.

3. Cross-Device Monetization

As users access content across multiple devices, cross-device monetization has become crucial for maximizing ad revenue. KiaanTechnology’s platform is designed to optimize your ad inventory across desktops, smartphones, tablets, and mobile apps. This cross-device compatibility allows you to reach your audience wherever they are and ensures that your content is monetized consistently across all platforms.

4. Advanced Targeting for Maximum Engagement

Effective ad targeting is key to maximizing your monetization potential. KiaanTechnology offers advanced targeting capabilities that allow you to reach specific audiences based on location, demographics, behavior, and interests. By displaying the most relevant ads to the right users, KiaanTechnology increases engagement and boosts conversion rates, which directly translates into higher ad revenue.

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Native advertising has emerged as one of the most effective ways to monetize content without disrupting the user experience. KiaanTechnology’s native ad solutions seamlessly blend ads with your content, providing a more engaging and less intrusive advertising experience. This results in better engagement, improved user satisfaction, and increased ad revenue. Native ads are tailored to fit naturally into your content, making them highly effective for content creators.

6. Video Ad Monetization

With the surge in video content consumption, video ad monetization has become a key revenue stream. KiaanTechnology allows you to seamlessly integrate video ads into your content, including pre-roll, mid-roll, and post-roll ads. By optimizing the placement and targeting of video ads, you can maximize engagement and revenue from your video content, ensuring that you’re capitalizing on the growing demand for digital video advertising.

7. Real-Time Analytics & Reporting

KiaanTechnology provides powerful analytics and real-time reporting tools to help you monitor the performance of your ad campaigns. Track key metrics such as click-through rates (CTR), conversion rates, revenue per thousand impressions (RPM), and ad impressions to gain insights into how your ads are performing. This data allows you to continuously adjust your strategy and optimize your content monetization efforts to ensure that you’re always maximizing your ad revenue.

8. Fraud Prevention & Brand Safety

In the digital advertising ecosystem, protecting your ad revenue from fraud is essential. KiaanTechnology incorporates fraud prevention measures to detect and block invalid traffic and fraudulent activities. By ensuring that your ads are displayed in a brand-safe environment, you can protect the integrity of your campaigns and maintain a trustworthy ad ecosystem.

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Managing ads can be time-consuming, especially if you are running multiple campaigns across different platforms. KiaanTechnology simplifies ad management through automation. Automating tasks such as ad placements, bidding, and campaign adjustments allows you to focus more on content creation while our platform handles the heavy lifting. This automation ensures that your ad monetization efforts are running smoothly and efficiently, increasing your revenue with less effort.

10. Seamless Integration with Multiple Ad Networks

KiaanTechnology integrates seamlessly with leading ad networks such as Google AdSense, Facebook Audience Network, AdMob, and more. By connecting your content to multiple networks and exchanges, you can increase the competition for your ad spaces, driving up your ad revenue. This seamless integration ensures that you can easily monetize your content without the need for manual interventions.

11. Customizable Monetization Models

KiaanTechnology offers flexible monetization models that allow you to choose the revenue strategy that works best for your business. Whether you prefer CPC (cost-per-click), CPM (cost-per-thousand impressions), CPI (cost-per-install), or CPA (cost-per-acquisition), our platform offers customizable options that help you maximize your earnings based on your content type and audience.

12. Mobile App Monetization

Mobile app developers can take full advantage of KiaanTechnology’s mobile ad monetization features. Whether you want to monetize through in-app ads, banner ads, or interstitial ads, KiaanTechnology provides tools to help you generate revenue from your app users. By using AI-driven optimization and targeting, you can improve engagement and generate more revenue from your mobile app traffic.

13. Scalable Solutions for Growing Businesses

KiaanTechnology’s platform is designed to scale with your business. As your audience grows and your content expands, KiaanTechnology can handle larger volumes of traffic and more complex ad campaigns. With scalable solutions, you can continue to increase your monetization potential as your business evolves, ensuring long-term success and consistent revenue growth.

14. Future-Proof Ad Technology

The world of digital advertising is rapidly evolving, and KiaanTechnology ensures that you are always using the most advanced, future-proof ad technology. We continuously update our platform to keep up with the latest trends and innovations in the ad tech industry, ensuring that your content monetization strategy remains effective and competitive. With future-proof technology, KiaanTechnology helps you stay ahead of the curve.

15. Maximize Ad Revenue with Seamless User Experience

KiaanTechnology focuses on delivering a seamless user experience for both advertisers and users. By providing relevant, non-intrusive ads that integrate seamlessly with your content, we ensure that users are more likely to engage with the ads. This results in higher click-through rates (CTR) and more ad revenue for you, while maintaining a positive experience for your audience.

KiaanTechnology’s advanced ad platform is designed to help you supercharge your content monetization and drive revenue growth. With its combination of AI optimization, programmatic advertising, cross-device monetization, and advanced targeting, KiaanTechnology offers the tools you need to maximize ad performance across all content types and platforms. Whether you're monetizing native ads, video content, or mobile apps, KiaanTechnology provides the flexibility, scalability, and automation needed to optimize your ad revenue.

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Contact US

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Ad Network Solutions for Any Scale: Tailored to Your Business Needs

Are you looking to scale your advertising business with an efficient and reliable ad network? Whether you’re a startup or an established player in the industry, I offer comprehensive Ad Server Setup and Ad Network Setup solutions designed to cater to any scale of operations.

Why Choose Our Ad Network Solutions?

Custom Ad Server SetupGet your own customized ad server that allows full control over your advertising campaigns.Optimize delivery, track performance, and improve ROI with real-time data.Implement advanced targeting options to reach the right audience and drive conversions.

Ad Network SetupBuild a scalable ad network that suits your needs, from local businesses to global enterprises.Set up demand-side platforms (DSPs) and supply-side platforms (SSPs) for seamless integration.Enhance your monetization strategies through personalized ad network management.

SSP (Supply-Side Platform) SetupSet up an SSP to manage ad inventory from publishers, enabling them to optimize revenue and engage with demand sources.Our SSP solutions ensure seamless integrations with multiple ad exchanges, direct demand sources, and partners.Maximize your ad space revenue with dynamic price floor management and real-time bidding.

DSP (Demand-Side Platform) SetupEmpower advertisers to access high-quality inventory and bid on real-time ad spaces.Our DSP solutions provide precise targeting, automatic optimization, and advanced reporting.Connect seamlessly with your SSP and third-party data providers to enhance targeting and performance.

Our Approach to Ad Network Solutions:

Scalability: Whether you’re starting small or managing a large-scale operation, our solutions grow with your business.

Flexibility: Customize your platform to match your business objectives and integrate with various third-party systems.

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Key Features You’ll Enjoy:

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Our solutions are designed to empower you to grow your ad network efficiently, maximize your revenue potential, and ensure a smooth experience for both advertisers and publishers.

Reach out to discuss how we can tailor an ad network and ad server setup that works best for your business!

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