by Denae Luna | Apr 17, 2025 | Digital Marketing, Programmatic
Download the pdf version of the Guide
Overview
When buying digital media most resources go into the inputs of the ad buying process (campaign strategy, creative, and platform). Most agencies and in-house teams do not have enough resources to take on the complex, downstream marketplace analysis and optimization that is required to run a truly efficient campaign.
Media buyers either add verification vendors or hope their platforms optimize their media marketplace for them. Unfortunately, those efforts are woefully inadequate. As validation vendors come up short, signals become more segmented, and third party data provide dubious value media buyers need to take a more active role in controlling the media they are buying.
This guide was created to help the programmatic ecosystem better understand curation/sell side decisioning and how it can help solve some of these challenging issues.
Topics Covered:
- How the open web became a nontransparent, chaotic mess.
- What is curation?
- What is curations role in creating and managing efficient media marketplaces?
- How your organization can get into curation.
The Open Web: Infinite Chaos
The open web was supposed to democratize access to media. It actually made digital media buying more complex creating massive inefficiencies along the way.
Key Issues With The Open Web:
- Too much inventory and too little bandwidth to process it all. This leads to largely arbitrary, algorithmic-based decisioning on bidstream traffic.
- Seemingly unlimited intermediaries across the supply chain providing (often) unknown value.
- Lack of bandwidth from buyers to truly analyze the value of the media they buy at scale.
- Lack of quality control when it comes to implementing IAB standards creating confusion.
- Rampant fraud and brand safety issues.
Why Is The Open Web So Complex?
This visual is a very basic workflow of the programmatic ecosystem. To put it into more perspective lets look at each level of the workflow:
Demand Side Platform (DSP):
There are 100s of DSPs in the market. While the technology is largely the same, access to inventory can vary by platform. For example, if you want to buy Prime Video programmatically it must be done via Amazon. Another thing to consider is some DSPs are stronger in certain channels than others. (i.e. some DSPs focus on CTV, Native, Digital Out of Home, etc).
Challenge: Whether it’s walled garden O&O limited to certain DSPs or exclusive inventory/data partnerships no single DSP can do it all.
Exchanges/ Supply Side Platforms (SSP):
There are 100s of ad exchanges and/or SSPs that facilitate the transaction between ad buyer and ad seller. To make things complicated the same inventory (from a single publisher) can show up via a number of different SSPs (Supply Side Platform) across a number of ad exchanges at different rates.
Challenge: Buyers and DSPs are overwhelmed with traffic and signals. This leads to arbitrary traffic throttling at the DSP level and massive log files for media teams with little bandwidth to analyze.
Enter Curation
The sell side of the open web has largely been a mystery to buyers. A largely non-transparent group of exchanges, SSPs, and other intermediaries sending trillions of signals via billions of bid requests from a seemingly infinite number of publishers. That is until the supply side opened itself up to curation.
Curation in programmatic advertising refers to the process of selecting inventory and activating data through deal-based transactions. It allows media buyers to create customized inventory packages that align with their unique goals. In short, it takes your media decisioning to the supply side where it sits closer to the inventory and signals you’re bidding on.
Now that the buy side and the sell side are linked via open platforms buyers and sellers can more efficiently bundle quality inventory and data to improve outcomes for both sides of the ecosystem. At a high level this helps solve some of the challenges currently plaguing each side of the ecosystem:
- Demand Side – An over-reliance on one size fits none platforms. Curation allows any platform with their unique inventory, data, and other insights to plug and play into any DSP making activation more portable.
- Supply Side – Buyers can now declare to the supply side what kind of traffic they want to see before their DSP bidder gets bombarded (and ultimately throttled) with queries.
Why Organizations Are Investing In Curation
The first wave of programmatic media buying was entirely focused on doing as much as possible within the DSP. With the sell side now open for business critical media decisioning can now be deployed further up the supply chain. This provides a myriad of benefits, including…
- Better Media Quality – By controlling which inventory is included in a curated deal, buyers reduce fraud, viewability issues, and wasted spend.
- Finding Alpha – Unlock value in mid to long tail publisher inventory that often slips through the cracks. Bundling this traffic with an expert curator can provide buyers with scale across valuable, lesser known publisher sources.
- Media Flexibility – Buyers that work across multiple DSPs are no longer forced to replicate their media decisioning across platforms. Deals are plug and play across all DSPs so your can literally take your activation with you.
- Improved Supply Path Transparency – Curation enables buyers to identify which SSPs and publishers perform best, helping eliminate unnecessary intermediaries and provide supply path optimization.
- More Effective Targeting – Combine your current data strategy with seller-defined audiences, contextual relevancy, and better signal efficacy for improved targeting.
- Traffic Shaping – Define the traffic you want your bidder to see; not what a throttling algorithm thinks you want to see.
- Cost Efficiency – Buyers can negotiate preferred rates with publishers or SSPs within curated deals, optimizing CPMs without sacrificing quality.
Starting Your Curation Journey
Brands, agencies, data providers, solution providers, and publishers (basically everyone in the open web ecosystem) is developing a curation strategy. No matter where your organization sits you have unique needs/goals when it comes to curation. Here is a step by step guide to help you on your curation journey.
Step 1: Build Direct Relationships With SSPs/Exchanges
A lot of buyers still rely heavily on DSP teams to sort out the supply side for them. This is a mistake. As a buyer you have unique needs and goals with your media budget. It is critical that you have a direct relationship with the exchanges and SSPs you are buying media from. Why?
You need to know “how the sausage is made.” While you can easily see the domains and apps you’re buying in a log file, do you know how the exchange/SSP is handling publisher vetting, invalid traffic, brand safety, supply path optimization, viewability, etc?
Do you know if they are ID bridging or doing anything else to enhance the bidstream data from publishers to make it more enticing to buyers? While traffic is traffic, how it’s onboarded, audited for quality, and ultimately passed on to the buy side can vary.
Another important thing to understand is their plans for the short, medium, and long term. SSPs are finally having their moment in adtech and curation is still very nascent. Everyone is rushing to get into curation and SSPs are rapidly sorting out their competitive advantages. It is vital that you understand that their product roadmap aligns with your needs.
Step 2: Define Your Curation Strategy
Now that you have an understanding of how SSPs and exchanges operate you need to determine which platform(s) best align with your needs. Until now, all of your programmatic decisioning (at least what you can control) has been happening within the DSP environment.
Deciding to move some or all of your activation strategy to new platforms is a significant change to buyer behavior that needs to be carefully planned and executed. Here are a few things you need to consider:
- How much do you plan to curate? It will be critical to understand how much of your programmatic buy will benefit from curation versus leveraging ever growing direct deal opportunities with premium publishers in the DSP.
- What are your priorities for curation? (e.g., brand safety, efficiency, data activation, premium inventory access).
- What types of inventory do you want to include? (e.g., video, CTV, high-quality display).
- What type(s) of data do you plan to activate?
- Do you have the resources to be “hands on keyboard” or do you need help from a 3rd party?
Every curation platform will have similar functionality, but they all have their own unique niches. It is vital that your curation partner(s) are aligned with your long term goals and have the capacity to meet your unique needs.
Step 3: Activate & Optimize

Now that you have chosen your partner(s) in curation here are some tips to make sure you maximize the newest layer in your in your horizontally integrated, full stack media setup:
- All or Nothing – You cannot split decisioning between the demand side and a curated deal. There are too many interoperability issues that arise. If you activate a curated PMP, all of your decisioning layer needs to be there so make sure your campaign/line item doesn’t have additional targeting parameters on the DSP side.
- Campaign Optimization – Not only has your decisioning moved up stream, your post buy analytics can be shared to further optimize deals. PMPs are no longer a “set it and forget it” proposition. You can consistently work to make them better!
- Curator Collaboration – 2025 will be the year for curators to be able to share data within data marketplaces. Don’t be afraid to engage with other curators that can pass unique data sets, inventory, etc. to you that can further augment the efficiency and effectiveness of your PMPs!
Final Thoughts
Curation is transforming programmatic advertising by allowing buyers to take control of their media supply and improve ad quality. By working with SSPs to curate inventory, your organization can gain greater transparency, improve efficiency, and ultimately drive better campaign outcomes.
If you’re curious about curation, now is the time to explore how it can fit into your media strategy. Whether you’re looking to reduce waste, enhance targeting, or improve brand safety, SSP-enabled curation is a tool everyone in the ecosystem needs in their programmatic toolkit.
Population Science can help you assess your goals and resources available to implement a curation strategy. Our insights into the various curation platforms and service providers will help you make the best decision on who to partner with. No matter where you are in your curation journey we are here to be a resource!
by Johnathan Barnes | Mar 3, 2025 | Digital Marketing, Industry News, Programmatic
People love to drop hot takes in adtech so I promise the title of this post might lean into clickbait, but I’m not predicting the end of programmatic or even the open web. I am, however, predicting how open web media is accessed will be dramatically different very soon. Many have suggested that we are in the “outcomes” era of programmatic media buying, but I think it’s more specific. Welcome to the “efficient outcomes” era!
Here are a few thoughts on the direction of programmatic and how it will make the ecosystem better for buyers.
Nobody Will Buy On Open Exchange
While many in the industry have been predicting the demise of SSPs for years, the rise of curation is providing a rebirth for the supply side. Now buyers are able to take data activation and traffic filtering closer to the impression source creating a lot of efficiencies. The implications are vast from decarbonizing our industry to improved signals in targeting. Agencies and brands will continue to rapidly adopt curation and bring in-house (either directly or via a managed service that specializes in curation).
PMP, PG, or Direct Is The Way Forward
While the supply side is having its moment, this doesn’t mean the demand side should feel threatened. In fact, the demand side has a tremendous opportunity (and duty in my opinion) to continue scaling direct deals with premium publishers. The Trade Desk has taken the lead on this and allowing buyers to have insight and access to premium inventory at scale will be a preferred way for many advertisers to buy. Finding a way to extend this opportunity to the SMB buyer is a critical piece to figure out, but many companies are entering this space.
Where the demand side and supply side might squabble is over programmatic guaranteed deals. I will be interested to see if guaranteed deals continue to grow in popularity or if they eventually get folded into the more general PMP offering from curators or if the demand side gobbles it up into a more efficient direct deal system.
Integrating The Ecosystem
While M&A has been a hot topic of late it is just a subset of a wider happening within the adtech industry; the quest to integrate the ecosystem at scale. Programmatic has historically been a very fragmented and clunky integrations have exacerbated inefficiencies across the ecosystem. Whether it is new product releases or M&A if you look closely the trend is horizontal integration across the ecosystem, not vertical.
Platforms that can offer efficiency by being able to service advertisers, DSPs, SSPs/Exchanges, and Publishers will have the power to identify and activate quality media at scale. This is even more crucial as we continue to see a desire from buyers and agencies to reduce the overall number of platforms they work with. The more you can offer, the better.
In conclusion, the “efficient outcomes” era of programmatic will bring more transparency, across fewer platform partners that are better integrated horizontally across the ecosystem. The result will be more efficiency and better outcomes for buyers and higher rewards (i.e. higher eCPMs for quality publishers). Stay tuned, the best of programmatic is yet to come!
by Johnathan Barnes | Jun 3, 2024 | Digital Marketing, Programmatic
At this point it isn’t a secret that the programmatic ecosystem has done an abysmal job with brand safety and supply quality. It also is pretty clear that The Trade Desk is doing whatever it can to distance themselves from the DSP pack. While The Trade Desk is clearly a Tier 1 DSP it’s hard to take market share away from their competitors who all own and operate premium inventory and data.
The Trade Desk has invested a lot into Universal ID2 to put themselves at the forefront of the post-cookie audience targeting solutions. While it’s too soon to write off UID2 it seems pretty clear that it will not achieve the scale needed to make them the “go to” for post-cookie identity. Now, it appears they are taking another shot at differentiating themselves from their other Tier 1 DSP competitors.
The new PR push is pretty straightforward. They want to brand themselves as the arbiters of “the premium open web.” The timing makes sense because brands and agencies are scrambling to figure out ways to ensure brand safety and supply quality in the wake of numerous reports highlighting how DV, IAS, and the like have been asleep at the wheeling certifying quality. The Trade Desk has released SP500+ (which seems to be an index of top, premium publishers) and more recently the Top 100 publishers.
These lists are not any kind of innovation in themselves. In fact, many on adtech Twitter (or X) chided the move as a SLAAP (site list as a service) and I essentially agree. Any programmatic media buyer with a few years of experience probably could have put a nearly identical list together. That said, something bigger is likely going on. It appears the Top 100 publisher list is full of UID2 adopters. The Trade Desk could be trying to bully the open web into their ecosystem of UID2 or else be branded “non-premium” inventory.
If this is the case I think it’s a dangerous path for The Trade Desk to take. Publishers are tired of being pushed around by monopolistic players on the buy side. Further, The Trade Desk has spent a lot of effort creating goodwill in the programmatic ecosystem around not being their competition. Attempting to use their clout in the industry to start pushing their view of the world on publishers and the rest of the programmatic ecosystem players could ultimately backfire. I don’t think the industry as a whole wants or needs a DSP to declare what is and is not the premium open internet.
No matter what The Trade Desks true intentions are with these publisher lists one thing is certain. We will be very interested to see where they go with all of this.
by Johnathan Barnes | Jun 3, 2024 | Digital Marketing, Programmatic
As the hopes and dreams of a truly open internet come crashing down around the adtech industry, is there any chance that a truly independent ecosystem can not only survive, but thrive in an era of privacy, walled gardens, and domination by a handful of key players? I believe there is.
To be successful we as an industry need to beat the walled gardens at their own game. It will entail leveraging the interconnected ecosystem of agencies/buyers, platforms, and publishers to scale a walled garden experience in an open, programmatic environment. While it sounds challenging, the foundation for achieving this is already in place. We need all of the key players from the buy and sell side to collaborate on curation.
Here are three ways this can happen:
- The walled gardens need to understand the value of programmatic media buying. As Amazon continues to garner more market share and players like Yahoo and The Trade Desk create more premium, exclusive deals around O&O (or 3rd party O&O) the stranglehold that the duopoly of Google and Meta is slowly being chipped away. Advertisers understand there is a vast network of high quality inventory to be bought across multiple channels outside of
- The supply side (i.e. SSPs) needs to focus their efforts not on creating competing DSPs, but rather partnering with buy side players (agencies, in-house teams, data providers, and other solutions) to curate customized networks that aggregate premium data that can prove top of funnel value by starting customer journeys that end with conversions. Basically, the SSP of the future is the curated ad network of the past. However, instead of competing directly for advertiser dollars the opportunity to even better collaborate with DSPs that already have the advertiser budgets will grow immensely as SSPs create more value for every niche on the buy side.
- The adtech industry as a whole needs to stop focusing on scale and more on value. For every advertiser and every tactic there is a point where incremental spend provides a negative ROI. Adopting a focus on value alone will go a long way in eliminating MFA and other types of fraud from the ecosystem and raise CPMs on the quality inventory that is out there. Everybody wins!
Do I think all three of these things will happen overnight? No. In fact, I think it will take a long time for #1 to happen. If the adtech industry can actually come together, focus on #2 and #3, and stop fighting useless turf wars we can force the walled gardens back into the programmatic ecosystem. It’s time to call a ceasefire and admit that it will take all of us (agencies, in-house teams, DSPs, SSPs, data providers, publishers, and other solutions), working together, with SSPs as the new ad networks, to create a better, curated ecosystem that provides value to every advertiser.
by Johnathan Barnes | May 7, 2024 | Uncategorized
A Retail Media Network (RMN) is a platform that allows retailers to monetize their websites and apps by offering advertising space to brands, which can then promote their products directly to consumers within the retail environment. These networks leverage the retailer’s digital properties, such as their online store, mobile app, and sometimes even in-store digital touchpoints, to provide targeted advertising opportunities based on the retailer’s customer data.
Key Features of Retail Media Networks include:
– Targeted Advertising: Utilizing the retailer’s customer data, RMNs enable brands to target ads to specific segments of customers based on their shopping behavior, preferences, and purchase history.
– Closed-loop Measurement: Retailers can offer brands the ability to measure the effectiveness of their ads directly within the retail ecosystem, providing insights into how advertising impacts sales and customer behavior.
– Omni-channel Reach: Many RMNs offer the ability to reach customers across multiple channels, including online, mobile, and in-store, providing a seamless advertising experience.
– Data-driven Insights: Brands can access rich data insights from RMNs, including customer demographics, shopping patterns, and product preferences, to inform their advertising strategies and product offerings.
Benefits for Retailers and Brands:
– For Retailers: RMNs represent a significant revenue stream beyond traditional retail operations. They also enhance the shopping experience by offering relevant product recommendations and promotions to customers.
– For Brands: Advertising through RMNs allows brands to place their products in front of consumers at critical moments in the shopping journey, potentially increasing sales and market share within the retailer’s ecosystem.
One area of debate is whether or not using first party retailer data on third party websites is a part of the RMN ecosystem. Many retailers are pushing this, but the reality is this is more of a data sales play than a true RMN. One key aspect of an RMN is catching highly targeted shoppers at the time they are making purchase decisions. Leveraging retailer data on third party sites can be very valuable, but it’s definitely more of an upper funnel tactic and more akin to a run of the mill audience network.
Retail Media Networks are becoming an increasingly important part of the digital advertising landscape, especially as e-commerce continues to grow and retailers look for new ways to leverage their digital assets and customer relationships.
by Johnathan Barnes | Feb 15, 2024 | Digital Marketing, Programmatic
Transparency that comes via in-housing programmatic media buys plays a pivotal role in reducing costs and increasing the efficiency of digital advertising campaigns. This transparency pertains to the visibility into the entire process of buying and selling media, including fees, the performance of ad placements, and the authenticity of traffic. Here’s how increased transparency can lead to cost reductions:
Elimination of Hidden Fees
One of the most immediate ways transparency reduces costs is by revealing all fees associated with programmatic buying. With so many moving pieces in programmatic media buys, the amount of unnecessary fees/markups that advertisers don’t even know about is pretty immense. These can include technology fees, agency fees, 3rd party service fees/markups, and additional charges that might not be evident without a clear view of the transaction process. When advertisers have a detailed understanding of where their budget is going, they can identify and eliminate unnecessary expenses, negotiate better terms, and allocate more of their budget to actual media buying rather than to intermediary services.
Improved Inventory Quality
Transparency allows advertisers to see exactly where their ads are being placed and the quality of the inventory they are purchasing. This visibility helps advertisers avoid spending on low-quality sites that do not contribute to their campaign objectives or, worse, on fraudulent traffic. By directing their spend toward high-quality, relevant inventory, advertisers can improve the effectiveness of their campaigns and achieve better ROI, thus reducing wasted spend. It is a common practice for outsourced programmatic media buys via agencies or DSP managed services to only show you the best performing media while omitting the long-tail media that is largely low quality, unattributed media, or potentially outright fraud.
Optimized Supply Path
Supply path optimization (SPO) is the process of analyzing and choosing the most efficient and cost-effective way to purchase media. Transparency in the programmatic supply chain reveals the path an ad buy takes from the advertiser to the publisher. With this information, advertisers can identify and eliminate redundant or non-value-adding intermediaries, reducing the overall cost of the buy. This direct path ensures that a larger portion of the advertising budget is spent on actual media rather than on middlemen.
Data-Driven Decisions
Transparency provides advertisers with detailed data on campaign performance, including metrics such as viewability, engagement, and conversion rates. Armed with this information, advertisers can make informed decisions about where to allocate their budgets, focusing on strategies and channels that offer the best return. This data-driven approach to campaign management allows for the continuous optimization of campaigns, ensuring that budgets are not wasted on underperforming ads or strategies.
Enhanced Negotiation Leverage
Having a transparent view of the programmatic ecosystem gives advertisers leverage in negotiations with suppliers, including publishers, platforms, and technology providers. With detailed insights into costs, performance, and the supply chain, advertisers can push for better rates, more favorable terms, and higher-quality inventory, further reducing their costs.
Trust and Long-Term Relationships
Transparency fosters trust between advertisers and their partners, including agencies, platforms, and publishers. When all parties have visibility into the process and outcomes, it builds confidence and facilitates the development of long-term relationships. These relationships can lead to more favorable terms over time, including volume discounts and access to premium inventory at competitive prices.
Conclusion
In summary, more transparency in programmatic media buys can significantly reduce costs by eliminating hidden fees, improving inventory quality, optimizing the supply path, enabling data-driven decisions, providing negotiation leverage, and building trust. As the digital advertising landscape continues to evolve, the demand for transparency will likely increase, driven by advertisers’ desire to maximize the efficiency and effectiveness of their digital ad spend.
by Johnathan Barnes | Feb 15, 2024 | Digital Marketing, Programmatic
In the ever-evolving digital advertising landscape, the shift towards in-housing programmatic media buying is becoming increasingly popular among brands seeking greater control, transparency, and efficiency in their advertising efforts. This move not only signifies a shift in operational strategy but also underscores a deeper understanding of the benefits that come with direct management of programmatic buying. Here, we explore the myriad advantages that businesses stand to gain by bringing programmatic media buying in-house.
Enhanced Control and Transparency
One of the primary benefits of in-housing programmatic media buying is the increased control and transparency it offers brands over their advertising operations. By managing programmatic buying internally, companies can directly oversee their ad spend, campaign targeting, and optimization strategies without relying on third-party agencies. This direct oversight allows for real-time adjustments, ensuring that campaigns are aligned with the brand’s goals and market dynamics. Furthermore, in-housing reduces the layers between advertisers and their data, providing clearer insights into spending efficiencies and campaign performance.
Cost Efficiency
In-housing programmatic media buying can lead to significant cost savings. By eliminating the middlemen – typically agencies or managed service providers – brands can reduce the fees that were previously paid for campaign management and strategy. Additionally, with direct access to ad exchanges and supply-side platforms, companies can negotiate better rates and enjoy the cost efficiencies of buying media at market price without added agency markups.
Data Ownership and Privacy
With data privacy becoming a paramount concern for consumers and regulators alike, having direct control over data is critical. In-housing programmatic buying allows brands to maintain strict oversight of their data usage and storage, ensuring compliance with data protection regulations. Moreover, owning the data generated from programmatic campaigns enables brands to build and refine their customer insights, leading to more personalized and effective advertising strategies.
Agility and Speed to Market
The digital market is characterized by its fast pace and constant evolution. Brands that manage programmatic buying in-house benefit from increased agility and speed to market, enabling them to launch campaigns quickly in response to emerging trends or competitive pressures. This responsiveness is a significant competitive advantage, allowing brands to capitalize on opportunities as they arise and adjust strategies swiftly to optimize campaign performance.
Tailored Strategies and Creative Control
In-housing programmatic media buying empowers brands to develop and implement advertising strategies that are precisely tailored to their business objectives and target audiences. With direct control over the creative aspects of campaigns, companies can ensure that their messaging is consistent, on-brand, and adapted to the specificities of each channel and audience segment. This customization extends to the optimization of creative assets, where in-house teams can test, learn, and iterate in real time to improve engagement and conversion rates.
Building In-House Expertise
Finally, in-housing programmatic media buying cultivates a deep reservoir of digital advertising expertise within the organization. As in-house teams grow more proficient in managing programmatic campaigns, they develop a nuanced understanding of the digital advertising ecosystem, enabling more strategic decision-making and innovation. This expertise becomes a valuable asset, informing not just advertising strategy but broader marketing and business strategies as well.
Conclusion
In-housing programmatic media buying offers a range of strategic benefits that can significantly enhance the effectiveness and efficiency of digital advertising efforts. From increased control and transparency to cost savings, data privacy, agility, tailored strategies, and the development of in-house expertise, the advantages are compelling. As more brands recognize these benefits, the shift towards in-housing programmatic media buying is likely to accelerate, reshaping the digital advertising landscape in the process.
by Johnathan Barnes | Nov 17, 2023 | Digital Marketing, Programmatic
Running ads efficiently on more than one Demand Side Platform (DSP) requires a strategic approach that optimizes time, resources, and budget while maximizing reach and performance. Here are several best practices to consider when running in multiple demand side platforms:
Use a Data Management Platform (DMP)
Integrating a DMP can help you centralize and manage your data across different DSPs. This allows for consistent audience segmentation and targeting, and helps in making data-driven decisions across platforms.
Establish Clear Objectives and KPIs
Define what you’re trying to achieve with your campaigns and the metrics you’ll use to measure success. Why are you using multiple DSPs to achieve your goals? It’s likely you are cherry picking best of breed in channel partnerships or you need access to owned and operated (O&O) inventory available on only one platform. For example, an ecommerce brand may need Amazon DSP to access premium data and inventory within the Amazon ecosystem, but also needs a best of breed solution to reach their target audience across a variety of top connected TV apps outside of the Amazon ecosystem. Consistent KPIs across DSPs will help you compare performance effectively. For more information on implementing a DSP, check out this article: https://populationscience.com/how-to-implement-a-demand-side-platform-dsp/
Standardize Creative Assets
Prepare a set of creative assets that can be used across all platforms. This includes ad copy, images, videos, and interactive elements that are in line with the specifications of each DSP. If you deviate too far from the standard it can be difficult to understand if the DSP or the creative that is used is the issue if you experience poor performance.
Automate Where Possible
Use automation tools within the DSPs for bidding, optimization, and reporting. Many DSPs offer automated rules and machine learning algorithms to adjust campaigns in real-time based on performance.
Central Reporting Dashboard
Consider using or building a central reporting dashboard that can pull in data from all the DSPs you are using. This allows for an aggregated view of performance and simplifies the analysis process.
Balance Overlapping and Unique Targeting
Be mindful of audience overlap across DSPs to avoid bidding against yourself. However, leverage the unique data or inventory sources of each DSP to reach different segments of your audience. If you have established clear objectives for why you are using multiple DSPs you should be able to avoid overlap in bidding on inventory.
Optimize Based on Performance
Regularly review campaign performance across all DSPs and shift budgets to the platforms and campaigns that are performing the best.
Work with a Media Aggregator
For smaller businesses or those without the capacity to manage multiple DSPs, consider working with a media aggregator or an agency that can manage this for you. They have the expertise and technology to run campaigns across multiple platforms efficiently.
Leverage Cross-DSP Strategies
Some strategies may be more effective on certain DSPs due to their specific strengths or inventory. Tailor your approach to each platform while maintaining a cohesive overall strategy.
By carefully planning and continuously optimizing, you can efficiently run ads across multiple DSPs and achieve better results from your advertising spend.
by Johnathan Barnes | Nov 17, 2023 | Digital Marketing, Programmatic
A Demand Side Platform (DSP) determines what to bid for each ad impression using a complex process that takes into account several factors. Here’s a simplified breakdown of how this works:
Advertiser Input
– Campaign Objectives: The DSP considers the goals of the campaign, whether it’s brand awareness, lead generation, conversions, etc.
– Budget: The advertiser sets the campaign budget and bid limits.
– Bid: The advertiser sets the maximum CPM or CPC they are willing to pay.
– Targeting Criteria: The advertiser defines the audience segments, geolocations, devices, and other targeting parameters.
– KPIs: Key performance indicators are set, which can include click-through rate (CTR), conversion rate, cost per acquisition (CPA), etc.
If you’re looking to learn more on how to implement a DSP, check out this article here: https://populationscience.com/how-to-implement-a-demand-side-platform-dsp/
Data Analysis
– Audience Data: The DSP uses first-party data (from the advertiser), third-party data (from external providers), and its own data to identify the value of a potential impression.
– Historical Performance: Past performance data of similar ads and targeting criteria are used to predict future performance.
– Contextual Data: Information about the content surrounding the ad placement is considered to ensure relevance and brand safety.
Real-Time Bidding (RTB) Auction Mechanics
– Auction Type: The DSP evaluates whether the auction is a first-price (pay the price you bid) or second-price auction (pay one penny over the second place bidder), which impacts how much should be bid.
– Supply and Demand: The DSP assesses the supply of available impressions and the demand from other advertisers, which influences the market price.
– Bidstream Data: Each bid request contains data such as user demographics, behaviors, the site/app they’re on, and other key data points which the DSP uses to calculate the value of the impression and whether or not it meets your inputs. For more information about the bidstream click here (link to our other blog)
Machine Learning and Algorithms
– Predictive Modeling: DSPs employ machine learning algorithms to predict the likelihood of a user taking the desired action after seeing an ad.
– Bid Optimization Algorithms: These algorithms determine the optimal bid amount based on the likelihood of meeting the campaign’s objectives at the lowest possible cost. Note, some DSPs allow you to customize your own bidding algorithm.
Budget Optimization
– Pacing: The DSP ensures the budget is spent evenly over the campaign duration or adjusts spending based on performance peaks and lulls.
– ROI Considerations: The DSP will bid higher for impressions that are more likely to lead to a conversion or achieve the desired outcome, ensuring a better return on investment.
Real-Time Decisioning
– Latency Constraints: DSPs have milliseconds to make a bid decision once they receive a bid request.
– Dynamic Bidding: The actual bid is dynamically calculated in real-time for each impression, based on all the above factors.
Feedback Loop
– Performance Feedback: After the ad is served, the DSP collects performance data which is fed back into the system to refine future bidding strategies.
Conclusion
The DSP’s bidding process is a sophisticated, real-time system that combines advertiser-defined parameters with advanced data analytics and machine learning to calculate the most appropriate bid for each ad impression. It’s designed to maximize the chances of achieving the advertiser’s goals while optimizing the use of the campaign budget. The process is highly automated and occurs in the time it takes for a webpage or app to load.
by Johnathan Barnes | Nov 16, 2023 | Digital Marketing, Programmatic
A Demand Side Platform (DSP) is a sophisticated piece of advertising technology that automates the purchase and management of digital ad campaigns across multiple sources of inventory. DSPs are designed to streamline the digital advertising process for advertisers, agencies, and media buyers. Here are the core functions of a demand side platform:
Centralized Ad Buying
DSPs connect to various ad exchanges, networks, and supply-side platforms (SSPs), allowing buyers to purchase from a large pool of inventory through a single interface.
Real-Time Bidding (RTB)
DSPs facilitate RTB, which allows advertisers to bid on ad inventory in real-time, often within milliseconds, as a webpage or app is loading.
Targeting
– Audience Targeting: Advertisers can target specific audience segments based on demographics, interests, behaviors, geolocation, device type, and more.
– Contextual Targeting: Allows targeting based on the content of the website or app where the ad will be displayed.
– Retargeting: Enables advertisers to target users who have previously interacted with their brand but did not convert.
Data Integration
– First-Party Data: DSPs can integrate with an advertiser’s first-party data for more personalized targeting.
– Third-Party Data: They often provide access to third-party data providers for additional targeting capabilities (be sure to vet these 3rd parties before use).
Campaign Management
– Ad Scheduling: Advertisers can schedule when ads will appear (dayparting).
– Frequency Capping: Limits how often a specific user sees an ad over a set period.
– Budget Management: Control over campaign budgets and the ability to set bid prices.
Creative Management
– Ad Creative Upload: Upload and manage different ad creatives directly within the platform.
– Dynamic Creative Optimization (DCO): Customizes creative elements in real-time based on the viewer’s profile.
Optimization and Automation
– Performance Optimization: Algorithms optimize bidding and placement for the best possible outcomes based on the campaign’s objectives.
– Machine Learning: Many DSPs use machine learning to improve campaign performance over time.
Analytics and Reporting
– Performance Tracking: DSPs provide detailed analytics on various aspects of campaign performance, such as impressions, clicks, conversions, and more.
– Custom Reporting: Advertisers can create customized reports to track specific KPIs.
Inventory and Pricing Transparency
– Clear Inventory Sources: Visibility into where ads could potentially run.
– Pricing Visibility: Understanding the cost associated with each impression or click.
Brand Safety and Fraud Prevention
– Brand Safety Tools: Options to prevent ads from appearing on inappropriate or low-quality sites.
– Fraud Detection: Measures to detect and prevent fraudulent impressions and clicks.
Integration with Other Platforms
– Cross-Platform Buying: Ability to buy ads across different types of digital media, including mobile, video, social media, and connected TV (CTV).
– APIs: Integration with external systems and third-party services via APIs.
Compliance and Privacy
– Regulatory Compliance: Features to ensure compliance with privacy laws like GDPR and CCPA.
– Consent Management: Tools to manage user consent for data usage and cookies.
Customer Support and Education
– Support Services: Assistance with campaign setup, optimization, and troubleshooting.
– Educational Resources: Training materials and best practices for using the platform effectively.
While most DSPs offer these functions, the depth and sophistication of these features can vary widely from platform to platform. It’s essential for advertisers to evaluate DSPs based on how well they meet their specific needs, budget, and technical capacity. If you want to read more about DSPs and Supply Side Platforms or SSPs, check out this article: https://populationscience.com/demand-side-platforms-and-supply-side-platforms-for-dummies/.