Can You Customize a DSP?

Can You Customize a DSP?

Demand Side Platforms (DSPs) often offer various levels of customization to better meet the specific needs of advertisers and marketers. The extent and nature of these customizations can vary significantly from one DSP to another, but here are some common areas where you may be able to customize a DSP: 

 

  1. Targeting Options

Advertisers can set up custom targeting parameters to reach specific audience segments based on demographics, interests, behaviors, location, and more. This can also include creating lookalike audiences or retargeting users based on their interactions with your brand.

 

  1. Bid Strategies

DSPs usually allow for customized bid strategies where advertisers can set their bidding rules based on the campaign goals. This can involve manual bid adjustments or setting up algorithmic bidding that automatically optimizes towards certain KPIs.

 

  1. Creative Optimization

Some DSPs offer dynamic creative optimization (DCO), which allows advertisers to customize and test different creative elements in real-time based on the audience or performance data.

 

  1. Data Integration

Many DSPs can integrate with external data sources, such as Data Management Platforms (DMPs), Customer Relationship Management (CRM) systems, and third-party data providers. This allows for the use of proprietary data for targeting and personalization.

 

  1. Reporting and Analytics

DSPs often provide customizable reporting dashboards where advertisers can choose which metrics to monitor and how they want to visualize their campaign performance data.

 

  1. Inventory and Exchange Access

Advertisers can generally choose which ad exchanges and inventory sources they want to utilize or exclude, which can be important for brand safety and quality control.

 

  1. API Access

For advanced customization, some DSPs offer API (Application Programming Interface) access, allowing advertisers to programmatically interact with the platform, automate processes, or integrate with in-house systems.

 

  1. Algorithm Customization

Another more advanced feature offered by some DSPs is the ability to customize the machine learning algorithms or attribution models to better suit their unique campaign goals and conversion paths.

 

Conclusion

Customization capabilities are a significant factor when selecting a DSP, as they can greatly enhance the effectiveness of digital advertising campaigns. However, the level of customization needed will depend on the complexity of the advertiser’s campaigns, their technical expertise, and specific marketing goals. It’s also essential to balance customization with usability—highly customizable platforms can become complex and may require more advanced knowledge to manage effectively.

What is the Difference Between a Demand Side Platform and a Data Management Platform?

What is the Difference Between a Demand Side Platform and a Data Management Platform?

Demand Side Platforms (DSPs) and Data Management Platforms (DMPs) are both critical components of the digital advertising ecosystem, but they serve different functions. There is a difference between a demand side platform and a data management platform: 

 

Demand Side Platforms (DSPs)

 

A DSP is a system that allows buyers of digital advertising inventory to manage multiple ad exchanges and data exchange accounts through one interface. The primary function of a DSP is to enable advertisers to buy ad placements, in real time, across a wide range of websites.

 

Key Functions of DSPs:

– Media Buying: Automates the purchase of digital advertising.

– Campaign Management: Enables advertisers to create, launch, and manage ad campaigns.

– Targeting: Allows precise targeting based on various criteria like demographics, behavior, location, etc.

– Real-Time Bidding (RTB): Buys ad space in real-time auctions as a user loads a webpage.

– Analytics and Optimization: Offers tools for measuring ad performance and optimizing based on various metrics.

 

Data Management Platforms (DMPs)

 

A DMP is a tool used for storing and analyzing data. It acts as a centralized platform that aggregates and manages data from various sources including first-party data (from your own sources), second-party data (from partners), and third-party data (from outside sources).

 

Key Functions of DMPs:

– Data Collection: Gather data from various sources.

– Data Segmentation: Organizes data into segments for targeted marketing.

– Data Analysis: Analyzes data to provide insights into audience behavior.

– Data Activation: Makes data actionable by integrating with other platforms (like DSPs) to enable targeted advertising based on the data collected.

 

The Difference

 

The fundamental difference between a DSP and a DMP lies in their core functions: DSPs are focused on the buying of advertising based on the targeting criteria, whereas DMPs are focused on managing and analyzing data to understand audiences better.

 

In practice, the lines between DSPs and DMPs can sometimes blur:

– Integration: Often, DSPs integrate with DMPs to enhance their targeting capabilities. The DMP provides the data that informs the DSP’s buying decisions.

– Data-Driven Decisions: A DMP might inform an advertiser which audience segments are most valuable, and then the DSP would be used to actually buy media that targets those segments.

– Consolidation: Some platforms offer both DSP and DMP functionality in a single platform to provide an end-to-end advertising solution.

 

In summary, while a DSP executes advertising transactions and delivers ads to audiences, a DMP is used to store and analyze data about those audiences to inform strategy. Together, they empower advertisers to make data-driven decisions and purchase digital advertising more efficiently and effectively.

How To Implement A Demand Side Platform (DSP)

How To Implement A Demand Side Platform (DSP)

Planning how to implement a Demand Side Platform (DSP) into your digital advertising strategy involves a multi-faceted approach, including technical setup, team training, data integration, and strategic planning. Here’s a high-level overview of how a business might implement a DSP:

 

  1. Needs Assessment

Define Objectives: Establish what you want to achieve with programmatic advertising (e.g., increased reach, improved targeting, cost efficiency, new channels).

Assess Current Digital Media Strategy: Evaluate your current media strategy and how a DSP can complement or enhance what you’re currently doing. 

 

  1. Technical Integration

Data Management: Integrate your first-party data (from your CRM, website analytics, etc.) with the DSP for improved targeting.

Tag Implementation: Place ad tags on your website to track conversions and for retargeting purposes.

APIs: If necessary, integrate the DSP with other systems via APIs for automated data exchange. This can help integrate reporting and attribution with your other marketing channels to understand the value of your programmatic media buy. 

 

  1. Compliance and Privacy

Data Privacy: Ensure that your use of a DSP complies with all relevant data privacy regulations such as GDPR, CCPA, etc.

User Consent: Implement mechanisms for obtaining and managing user consent for data collection and targeting.

 

  1. Team Training

Skill Development: Train your team on how to use the DSP, including media planners, buyers, and analysts. DSPs are far more complex buying ecosystems than closed platforms/walled gardens like Meta, Google Ads, etc. Programmatic buyers need to have a deep understanding of not only buying media and reporting, but also a myriad of 3rd party vendors and supply partners. 

Knowledge Sharing: Establish best practices for using the DSP and create a knowledge base for your team.

 

  1. Campaign Planning and Activation

Strategy Development: Plan your campaigns, including targeting, budget allocation, bid strategy, creative rotation, and flight dates.

Inventory and Data Sources: Identify and select the data sources and inventory types that align with your campaign goals.

Testing: Test the campaign setup to ensure everything is tracking and operating as expected.

Go Live: Launch your campaigns.

 

  1. Monitoring and Optimization

Real-Time Adjustments: Use the DSP’s tools to monitor performance and make real-time adjustments as needed.

Optimization: Continuously optimize for better performance based on data insights.

 

  1. Analysis and Reporting

Performance Tracking: Track campaign performance against KPIs and generate regular reports.

Data-Driven Insights: Use the DSP’s analytics tools to gain insights and inform future campaigns.

 

  1. Continuous Learning

Stay Updated: Keep up with DSP updates and industry trends to ensure you’re using the platform to its fullest potential. The programmatic ecosystem evolves very quickly. It is vital that you stay on top of the latest trends and developments. 

Feedback Loop: Establish a feedback loop with your DSP provider to suggest improvements and get support.

 

Implementing a DSP effectively requires a good understanding of both your own advertising goals and the technical capabilities of the platform. It’s a balance of strategic planning, technical setup, data integration, and ongoing optimization and analysis. Each business may have unique needs, so the implementation process can vary greatly depending on the size of the company, the complexity of the campaigns, and the resources available.

 

Are you still looking for the right DSP? We have a guide to help with your selection process: https://populationscience.com/demand-side-platform-buyer-guide/

Demand Side Platform Buyer Guide

Demand Side Platform Buyer Guide

You are ready to take your digital marketing program to the next level with programmatic media buying via a DSP. Congratulations! The first step in your process is finding the right DSP for your organization. Unfortunately, it is a very time-consuming process of research and reviewing platforms. When researching DSPs, consider the following criteria from our Demand Side Platform Buyer Guide:

 

Self-Service vs. Managed Service: 

 

Budget: Most DSPs (especially the bigger, more established players) have high monthly minimum spend requirements. Know what you’re realistically willing to invest in programmatic 

 

Cost Structure: Understand the fee structure, including any hidden costs. Most DSPs charge on a percent spent model where they take a cut of the media spend each month on their platform. Many also have markups on any 3rd party service such as data onboarding, premium inventory, attribution, etc. These markups may not even be clearly stated in a contract so ask questions. 

 

Inventory and Reach: Ensure the DSP has access to high-quality inventory and a wide range of publishers. You need to go into this process knowing exactly what is most important to you. Is it a specific inventory like connected TV or streaming audio? Ask about their supply partnerships in those channels because not all DSPs are created equal. If it’s access to owned and operated (O&O) inventory like YouTube or Amazon you will need to buy that through Google’s DV 360 and Amazon DSP respectively. 

 

Targeting Capabilities: Look for advanced targeting options such as geo-targeting, behavioral targeting, retargeting, and look-alike targeting. More DSPs are adding the capability to upload audience lists directly without onboarding through a 3rd party. This is a really nice feature that saves time and money. Find out if the DSP you’re considering offers this. 

 

User Interface and Ease of Use: The platform should be user-friendly and intuitive. At this point, the UI/UX of most DSPs are very similar so this likely should not be a sticking point.  

 

Analytics and Reporting: Check for real-time reporting and the ability to extract actionable insights. This is especially important if you use a 3rd party data visualization tool. Make sure the DSP you’re looking at has an integration and if you have to pay an additional fee for the integration. 

 

When choosing a DSP, it’s crucial to align the platform’s strengths with your campaign’s goals and the type of inventory that is most valuable to you. Always request a demo, take advantage of trial periods if available, and consider starting with a smaller budget to test the platform’s effectiveness for your specific needs.

 

For more information on selecting DSPs read a past blog we wrote that goes in-depth on some of the aspects you need to consider when selecting a DSP: https://populationscience.com/selecting-dsp-partners/

Ads.txt: The Lowdown

Ads.txt: The Lowdown

Ads.txt, which stands for “Authorized Digital Sellers,” is an IAB (Interactive Advertising Bureau) initiative aimed at improving transparency and combating ad fraud in programmatic advertising. It is a text file that publishers and website owners can create and upload to their web servers. The purpose of ads.txt is to declare which companies or entities are authorized to sell the publisher’s or app developer’s digital ad inventory. 

 

By referencing ads.txt files, ad buyers can verify that they are purchasing ad inventory from legitimate and authorized sellers. This helps reduce the risk of ad fraud, domain spoofing, and unauthorized reselling of inventory. If a publisher does not have an ads.txt file or if the file is inaccurate, it can lead to issues with ad delivery, reduced demand for their inventory, and potential revenue loss.

 

Here’s how ads.txt works:

 

  1. Publisher’s Declaration: Publishers (website owners or app developers) create a text file named “ads.txt” and upload it to their web server. This file is typically placed in the root directory of the website.

 

  1. List of Authorized Sellers: Within the ads.txt file, publishers list the authorized sellers, such as ad networks, exchanges, and supply-side platforms (SSPs), that are permitted to sell their ad inventory. Each authorized seller is identified by their “exchange domain” and a unique publisher identifier.

 

  1. Format: The ads.txt file format consists of lines with fields separated by commas. Each line includes four fields: the domain of the advertising system, the publisher’s ID on that system, a tag indicating the relationship between the publisher and the seller (such as “DIRECT” or “RESELLER”), and an ID specific to the seller.

 

Example Line in ads.txt:

“`

example.com, 12345, DIRECT, abcde

“`

 

In this example:

– “example.com” is the domain of the advertising system.

– “12345” is the publisher’s identifier.

– “DIRECT” indicates a direct relationship with the seller.

– “abcde” is a unique ID for the seller.

 

  1. Crawling and Verification: Ad exchanges and buyers’ demand-side platforms (DSPs) crawl websites to find and read the ads.txt files. They verify that the sellers listed in the ads.txt files match the actual domains and IDs of authorized sellers.

 

While Ads.txt (Authorized Digital Sellers) is a valuable tool for increasing transparency and combating ad fraud in programmatic advertising, it does have some limitations and challenges:

 

Manual Implementation: Ads.txt requires publishers to manually create and maintain the text file on their web servers. This can be time-consuming and prone to errors, especially for large websites with dynamic inventory. Also, files are static and do not support real-time updates. This means that changes, such as adding or removing authorized sellers, may not be immediately reflected in the ads.txt file.

 

Limited Enforcement: Ads.txt is a self-regulatory initiative, and its effectiveness depends on industry-wide adoption and compliance. Not all publishers and advertising platforms adhere to Ads.txt, which means some fraudulent activity can still occur.

 

Variability in Implementation: The way publishers and advertising platforms interpret and implement Ads.txt can vary. This variability can make it more complex for DSPs and ad exchanges to consistently enforce it.

 

Non-Human Traffic: Ads.txt is effective at reducing domain spoofing, but it may be less effective at detecting non-human (bot) traffic, which can still generate invalid impressions and ad fraud.

 

Adoption Challenges: Ads.txt was primarily designed for websites, and its application in mobile apps is less straightforward. While solutions for mobile apps exist, they are not as widely adopted or standardized. Also, small publishers or those with limited technical resources may face challenges in implementing and maintaining Ads.txt files. As a result, they may be more vulnerable to fraud.

 

Limited Effect on Header Bidding: Ads.txt may not have a significant impact on header bidding environments, where auctions occur outside the publisher’s ad server. Header bidding relies on other methods, such as app-ads.txt, to achieve transparency.

 

Despite these limitations, Ads.txt remains a valuable tool for enhancing transparency and reducing some forms of ad fraud in programmatic advertising. However, relying solely on Ads.txt for verification can lead to a false sense of security. Additional fraud prevention measures, such as ads.cert, supply path optimization, and third-party verification, are often necessary to address various types of ad fraud.  Looking for more tips on DSP buying, check out our best practices: https://populationscience.com/mastering-demand-side-platform-dsp-buying-best-practices-for-success/

Get to Know the Amazon DSP

Get to Know the Amazon DSP

Amazon DSP (Demand-Side Platform) is a programmatic advertising platform offered by Amazon that allows advertisers to reach audiences both on and off the Amazon platform. It offers several unique features and advantages compared to some of its competitors in the programmatic advertising space:

 

Access to Amazon’s Wealth of First-Party Data: One of the most significant advantages of Amazon DSP is access to Amazon’s vast and high-quality first-party data. This includes data on user behavior, purchase history, product searches, and more. Advertisers can leverage this data to create highly targeted and relevant ad campaigns. Amazon’s data is highly reliable and can provide valuable insights into consumer behavior.

 

Amazon’s Owned & Operated (O&O) Ecosystem: Amazon DSP is seamlessly integrated with Amazon.com, Prime Video, Whole Foods, Twitch, Amazon Devices, IMDb, and more. All of Amazon’s inventory is exclusive so you must use their DSP to access the inventory. Given the reach of Amazon Devices, Prime Video, and other properties, Amazon DSP can be an attractive option for advertisers beyond e-commerce. 

 

Leverage Amazon Data Beyond Their Walled Garden: Amazon’s advertising network extends beyond the Amazon website, enabling advertisers to reach users across a network of websites and apps. This means advertisers can extend their reach beyond just Amazon properties using the DSP. This is a significant advantage for e-commerce and DTC brands. 

 

Amazon Advertising’s Video and OTT Capabilities: Amazon DSP supports video and over-the-top (OTT) advertising, which is increasingly important in the digital advertising landscape. Advertisers can reach audiences through Amazon Prime Video and other connected TV devices.

 

Amazon DSP (Demand-Side Platform) offers several advantages for advertisers, especially those looking to reach Amazon’s vast audience and leverage its first-party data. However, it also has some limitations and considerations that advertisers should be aware of:

 

Limited Inventory Outside of Amazon: While Amazon DSP allows you to reach audiences on and off the Amazon platform, a significant portion of its inventory is concentrated within Amazon properties. If you’re looking for a broader reach across the web, you might need to consider additional programmatic platforms to supplement your efforts.

 

Complex/Limited UI: Amazon DSP’s interface can be complex, especially for newcomers to programmatic advertising. Navigating through its various options and features can be challenging, and it may require a learning curve. This is largely due to Amazon having so many data segments you can access in addition to various O&O properties to target. Some advertisers have reported challenges in achieving full transparency into their Amazon DSP campaigns. Access to detailed data and insights may be limited compared to other platforms.

 

Minimum Budget Requirements: Amazon DSP has minimum budget requirements that may not be suitable for small businesses or advertisers with limited budgets. Advertisers should be prepared to invest a significant amount to access the platform’s full capabilities. For small advertisers (budgets under $10,000/mo) the DSP may not be an option for you. 

 

Limited Creative Formats: While Amazon DSP supports various creative formats, it might not offer the same flexibility as other programmatic platforms. Advertisers looking for highly customized and interactive ad formats may find limitations.

 

It’s important to note that Amazon DSP primarily serves advertisers looking to reach audiences through Amazon’s properties and services. While it offers unique benefits within the Amazon ecosystem, it may not be the best choice for all types of advertisers or campaign objectives. Advertisers should carefully consider their specific needs and target audience when evaluating Amazon DSP and its competitors in the programmatic advertising space. If this isn’t your only DSP, you should consider reading our other article discussing running in multiple DSPs: https://populationscience.com/running-in-multiple-demand-side-platforms/

Rebroadcasting: The Dirty Secret of Digital Advertising

Rebroadcasting: The Dirty Secret of Digital Advertising

Rebroadcasting in programmatic advertising refers to the unauthorized or fraudulent practice of replaying ad impressions to artificially inflate ad performance metrics. It is a form of ad fraud that can harm advertisers in several ways:

 

Fraudulent Impressions: Rebroadcasting generates fake ad impressions, making it appear as though your ad has been viewed by a larger audience than it actually has. This can lead to overinflated campaign metrics.

 

Misallocation of Budget: Advertisers may allocate a portion of their budget based on the reported performance of their campaigns. When impressions are artificially inflated, it can lead to a misallocation of budget, with advertisers spending money on non-genuine impressions.

 

Wasted Advertising Dollars: Advertisers pay for these fake impressions, which means they are wasting their advertising dollars on audiences that never actually saw their ads. This can negatively impact return on investment (ROI).

 

Inaccurate Performance Metrics: Rebroadcasting skews key performance metrics such as click-through rates (CTR), conversion rates, and engagement metrics. Advertisers may misinterpret their campaign’s success and make decisions based on misleading data.

 

Missed Opportunities: When budgets are allocated based on inaccurate performance metrics, advertisers might miss out on better-performing ad placements or campaigns, as they are misled by fraudulent data.

 

Brand Safety Concerns: Rebroadcasting can lead to ads being displayed in inappropriate or non-brand-safe environments. This not only damages brand reputation but can also be a waste of ad impressions, as the audience is unlikely to be relevant.

 

Reduced Trust in Programmatic Advertising: Advertisers may become wary of programmatic advertising due to the prevalence of fraudulent practices like rebroadcasting. This can undermine trust in the digital advertising ecosystem.

 

To mitigate the harm caused by rebroadcasting and other forms of ad fraud, advertisers should take proactive steps to protect their campaigns. These steps may include:

 

Monitor Campaigns: Regularly monitor campaign performance and assess it for anomalies. Pay close attention to unusual spikes in metrics.

 

Work with Trusted Partners: Collaborate with reputable ad exchanges, demand-side platforms (DSPs), and supply-side platforms (SSPs) to reduce the risk of encountering fraudulent inventory.

 

Implement Ads.txt: Use the Authorized Digital Sellers (ads.txt) initiative to ensure that your ads are only displayed on authorized websites, reducing the risk of ad fraud.

 

Optimize Bidding Strategies: Optimize your bidding strategies to focus on campaign goals rather than metrics that can be artificially inflated.

 

Stay Informed: Keep up-to-date with industry best practices and the latest developments in ad fraud prevention.

 

Addressing rebroadcasting and other ad fraud issues is essential for advertisers to maintain transparency, efficiency, and trust in their programmatic advertising efforts. Advertisers should continually adapt their strategies to combat evolving forms of ad fraud. Take a deeper dive into DSP buying with our guide: https://populationscience.com/demand-side-platform-buyer-guide/

 

Header Bidding: The Basics

Header Bidding: The Basics

Header bidding, also known as header auction or pre-bidding, is a programmatic advertising technique used to improve the efficiency and transparency of the ad auction process on websites and apps. It allows publishers to offer ad inventory to multiple demand sources (advertisers and ad networks) simultaneously, before making ad calls to ad servers, in order to maximize ad revenue.

 

Here’s how header bidding works:

 

  1. Ad Inventory Offer: When a user visits a website or app with ad space available, the publisher’s web page sends a request to the header bidding container.

 

  1. Header Bidding Auction: The header bidding container hosts an auction where multiple demand sources, such as ad networks or DSPs (Demand-Side Platforms), can submit bids in real-time to compete for the ad impression.

 

  1. Simultaneous Bidding: All participating demand sources have an equal opportunity to bid on the impression at the same time, rather than relying on a traditional waterfall model where demand sources are prioritized sequentially.

 

  1. Pricing Transparency: Bids are submitted with the associated bid price, allowing the publisher to see the value offered for each ad impression. This transparency helps publishers make informed decisions about which bid to accept.

 

  1. Winner Selection: The highest bid is typically declared the winner, and the winning ad creative is displayed to the user in real-time.

 

  1. Ad Call: After the header bidding auction, the winning bid is passed to the ad server, which retrieves the ad creative and delivers it to the user’s device, ensuring that the chosen ad is displayed.

 

Header bidding offers several advantages:

 

  1. Increased Competition: By enabling multiple demand sources to participate simultaneously, header bidding maximizes the competition for ad impressions, potentially leading to higher ad rates and increased revenue for publishers.

 

  1. Better Pricing Control: Publishers have more control over ad pricing and can set the minimum acceptable price for their inventory, ensuring they get the best value for their ad space.

 

  1. Transparency: Publishers gain insights into the value of their ad impressions, making it easier to assess the performance of different demand sources and make data-driven decisions.

 

  1. Improved User Experience: Header bidding reduces latency and improves page load times, as it streamlines the ad call process, resulting in a better user experience.

 

However, header bidding also has some challenges, such as increased technical complexity and the potential for page latency if not implemented correctly. Publishers and advertisers need to carefully manage their header bidding implementations to strike the right balance between increased revenue and user experience.

 

Overall, header bidding has become a widely adopted technology in the programmatic advertising industry, helping both publishers and advertisers optimize ad inventory and revenue opportunities. Take a deeper dive into DSP buying with our Buyer Guide: https://populationscience.com/demand-side-platform-buyer-guide/

 

Bid Shading: The Basics

Bid Shading: The Basics

Bid shading is a technique used in programmatic advertising, specifically in real-time bidding (RTB) auctions, to optimize the price at which an advertiser is willing to bid for an ad impression. The goal of bid shading is to strike a balance between securing the ad impression and not overpaying for it. Here’s how it works and how it can affect your campaign:

 

How Bid Shading Works

 

  1. Auction Dynamics: In an RTB auction, advertisers bid on ad impressions in real-time, and the highest bidder typically wins the impression. However, the winning bidder pays the second-highest bid price (the second-price auction model). This means that if you bid too high, you might end up paying more than necessary.

 

  1. Bid Shading Algorithm: Bid shading involves using a specialized algorithm to adjust your bid price. This algorithm takes into account various factors, including the auction dynamics, the competition, historical data, and predictive modeling. It calculates a bid price that’s lower than your original bid but still competitive enough to win the impression.

 

  1. Winning at a Discount: The goal of bid shading is to win ad impressions at a price that’s lower than your initial bid, which results in cost savings for the advertiser.

 

Effects on Your Campaign

 

  1. Cost Efficiency: Bid shading can lead to cost savings for your campaign. By avoiding overbidding, you can maintain cost efficiency while still securing valuable ad impressions. This is particularly important in highly competitive and costly auctions.

 

  1. Optimal Pricing: Bid shading helps you find the optimal bid price for each impression. It takes into account various factors, including the likelihood of conversion, ad quality, and auction competition, allowing you to tailor your bids to each specific situation.

 

  1. Improved ROI: By paying an adjusted, more accurate price for ad impressions, you can improve the return on investment (ROI) for your campaign. This means you’re getting better value for your advertising spend.

 

  1. Winning More Impressions: Adjusting your bid with bid shading can increase your chances of winning more ad impressions. This can be especially advantageous in situations where you might have been outbid without bid shading.

 

  1. Real-Time Optimization: Bid shading is part of the broader trend of real-time optimization in programmatic advertising. It enables advertisers to adapt their bidding strategies to the changing dynamics of each individual auction, making it more responsive to market conditions.

 

It’s important to note that the effectiveness of bid shading can vary based on the specific algorithms and technology used, as well as the sophistication of the bidding strategy. Additionally, the impact on your campaign will depend on the competition in the ad auctions, the quality of your creatives, and the relevance of your targeting.

 

As bid shading is a complex process that often requires specialized algorithms and technology, it’s essential to work with experienced programmatic advertising partners or platforms to implement bid shading effectively in your campaign. When done correctly, bid shading can help you achieve better results and cost efficiency in your programmatic advertising efforts. Take a deeper dive into your DSP Buying efforts with our DSP Buyer Guide: https://populationscience.com/demand-side-platform-buyer-guide/

 

So What is Programmatic, Really?

So What is Programmatic, Really?

If you do a search on the definition of programmatic you will get a lot of different answers. If you ask someone in the digital space what programmatic is, you will get an even wider range of answers.

While programmatic adoption continues to grow at a steady pace, one thing holding back adoption is the lack of education about what programmatic actually is.

So what is programmatic, really?

In short, programmatic is the process of buying digital media in an automated fashion. For finance buffs, think of it as similar to the Bloomberg Terminal which allows traders to buy securities around the globe in real-time, except programmatic allows us to buy media.

Programmatic uses technology to improve marketing decisions across a broad ecosystem of channels, tactics, and data sets. This allows marketers to place the right ad, in front of the right person, on the right device, at the right time, maximizing efficiency and return on ad spend.

Another thing that holds back programmatic adoption is the confusion around the complexity of the offering. Prior to programmatic, digital marketing and buying were pretty silo’d. You would go to:

  • Mailchimp/Constant Contact/etc. for email

  • Facebook/Twitter/LinkedIn to buy social ads

  • Outbrain/Tablooa to buy native ads

  • Bing and Google to buy search and display

  • Google AdWords for a slightly more robust offering of display, native, and video.

With programmatic, media buying is streamlined across many platforms, giving more flexibility to manage budgets, evaluate effectiveness and pivot strategy seamlessly.

Programmatic also opens digital media buyers to new and exciting channels such as Connected TV, Digital Audio, Digital Out-of-Home, in addition to the traditional display, native, and digital video channels. With email deliverability and open rates declining, the limitations of AdWords and constantly changing algorithms and regulations on social platforms, programmatic offers the most efficient way to reach consumers outside of search and social. It’s imperative that marketers begin considering, exploring and adopting programmatic to stay on top and ahead of the evolving digital landscape.

Further, programmatic gives you the ability to active 1st, 2nd, and 3rd party data while managing frequency of ads across all of these channels to ensure you are being as efficient as possible with your media buy. Your data is one of the most valuable assets your business has, and if you’re not leveraging it to its fullest potential through programmatic, you’re missing a huge opportunity to reach new prospects and existing customers. Check out a related article that talks about Demand Side Platforms and Supply Side Platforms which house programmatic marketing: https://populationscience.com/demand-side-platforms-and-supply-side-platforms-for-dummies/

If you are ready to learn more about programmatic and explore adding it to your strategy, contact us today. We’d love to chat about your business and put together a plan for testing and implementing programmatic in a way that works for your budget and your goals.