Newly Added Features for the RTB and DSP Suite – Summer 2023

Here is another New Features Bulletin with some notable additions to the Adkernel White-Label RTB Exchange Suite and the DSP Suite. For any specific questions or inquiries for new client sales, please use support [at] adkernel.com


DSP Suite

  • Media Planner Integration:
    • The DSP Suite now includes a Media Planner tool, enabling users to effectively plan and manage their media campaigns.
  • Win Metrics Enhancement:
    • Upcoming feature: Win Metrics will be introduced to track and measure campaign performance. Graphical representations will be added to provide visual insights into the metrics.
  • New Rotation Modes for Creatives:
    • Introducing new rotation modes for ad creatives, including weighted percentage, conversion rate-based, click-through rate (CTR)-based, and random rotation.
  • Video/Audio Ads Skipability & Universal AdID:
    • Users can now specify whether video and audio ads can be skipped by viewers. Additionally, Universal AdID support has been implemented for streamlined ad identification.
  • AdTitle in VAST for Video Creatives:
    • The VAST format now supports the inclusion of AdTitle for video creatives, allowing for better categorization and management of ads.
  • Assets Library:
    • A centralized library for storing and managing campaign assets has been implemented, providing easy access and organization of creative elements.
  • Companion Banners for Video/Audio Creatives:
    • Users can now associate companion banners with video and audio creatives, enhancing the overall ad experience and engagement.
  • Campaign Currency Support:
    • The DSP Suite now supports multiple currencies, including USD, EUR, TRY, AUD, IDR, JPY, and THB, enabling international campaign management.

RTB Suite

  • Click Filtering Disabling Options:
    • Users now have the ability to disable click filtering at the exchange level, providing more flexibility in handling click data. Options include FILTERED_BOT, FILTERED_AD_SCANNER, IP_BLACKLISTED, and FILTERED_NO_WIN.
  • Multiple MediaFiles in VAST Support:
    • The RTB Suite now supports multiple MediaFiles within VAST, enabling more diverse and dynamic video ad formats.
  • Native Video Asset Support:
    • Native video assets are now supported, allowing users to seamlessly integrate video content into various ad formats.
  • Bid Response App Bundle Support:
    • App bundles in bid responses are now supported, enabling more precise targeting and optimization for campaigns.
  • Non-Clickable Ads Support for ADX Campaigns:
    • Users can now configure ADX campaigns to allow non-clickable ads, providing flexibility in ad formats and objectives.
  • Bidswitch Exchange Type
    • Pretargeting Group ID Targeting: Bidswitch pretargeting group ID targeting is now supported, enhancing targeting capabilities for specific audience segments.
  • New Optimization Mode: Minimized Bid:
  • A new optimization mode, “minimized bid,” has been introduced, allowing users to prioritize minimizing the bid amount for efficient budget allocation.
  • OTT Bundle Types Support:
    • The RTB Suite now supports various OTT bundle types, enabling targeted advertising on over-the-top platforms.
  • TagID and State Factors in Auto-Optimization Robot:
    • The auto-optimization robot now takes into account TagID and state factors, resulting in more intelligent and effective campaign optimization.
  • CTV User Agents Library Update:
    • The CTV user agents library has been updated to accommodate the latest devices and platforms, ensuring accurate targeting and delivery.
  • Creative-Level Apps/Sites Targeting:
    • Users can now target specific apps or sites at the creative level, allowing for more granular control over ad placements.
  • Ad Markup Preview Tool:
    • Adkernel has introduced the Ad Markup Preview tool, which provides a preview of ad creatives using a specific AdMarkup URL, facilitating ad quality assurance and troubleshooting.
  • New Browser Type – Podcast App:
    • A new browser type, “Podcast App,” has been added to the RTB Suite, enabling targeted advertising within podcast applications.
  • New Browser Types and Device Type:
    • New browser types, including HUAWEI_BROWSER and HULU_APP, have been added for enhanced targeting capabilities. Additionally, a new device type, VR, has been introduced.
  • Smart Spending Bid Adjustment:
    • A new bid adjustment feature, “Smart Spending,” has been implemented, allowing for optimized bidding strategies based on specific campaign objectives.
  • Viewability Tracking:
    • Network and exchange level settings now include viewability tracking, enabling advertisers to monitor and optimize ad viewability metrics.
  • Fixed CPM Margin Bid Mode on Campaign Level:
    • A fixed CPM margin bid mode has been introduced at the campaign level, ensuring consistent margin calculations for cost-per-thousand impressions (CPM) bids.
  • UI Feature for TagID Presets:
    • Users can now utilize UI features to manage and configure TagID presets, simplifying the process of creating and applying preset configurations.
  • Creatives Grid UI Enhancements:
    • The creatives grid UI has been improved to include an inline destination URL field and the ability to perform bulk status changes, streamlining creative management and updates.
  • Stats Login and Password Generator for Exchanges UI:
    • The RTB Suite now provides a login and password generator for exchanges, making it easier to manage and secure access to statistical data.

Note: Some features mentioned may still be in development and not fully available in the user interface (UI). Please refer to the official documentation or contact support for more information and assistance. For more, please contact support [at] adkernel.com

New Feature Tutorial – DSP Suite – Media Planner (Forecasting Tool)

The Media Planner is a simple sample-based tool that allows to estimate the available traffic volumes and average bidfloors by:

  • Countries
  • Device Type (Desktop / Mobile / Tablet / TV / Game Console)
  • Device OS + OS Version
  • Domains
  • Apps
  • Traffic Type (Banner / Native / Video / Audio)
  • Banner Size
Media Planner view example

The corresponding data aggregation covers last 2 months data window and can be enabled per request to support@adkernel.com for:

  • Specific Exchange ID(s)
  • Whole DSP network

You can also apply additional filters such as:

  • Date Range
  • Traffic Type
  • Traffic Soure (App or Site environment)
  • Device Type
  • Exchange ID
  • Banner Size
  • Operation System
  • Country
Media Planner available filters

Every viewed Media Planner traffic estimation report can be exported into XLS / XLSX / CSV / JSON formats.

As a result, you can plan your media buying activities more wisely and transparently.

Case Study: Programmatic KPI Automation – How Adkernel’s Clients utilize KPI Bid Optimization in the DSP Suite

Case Study: Programmatic KPI Automation – Using the KPI automation features of Adkernel’s DSP Suite to Drive Performance from Programmatic Media

In the world of programmatic media buying, effectively optimizing for campaign KPIs can be a both challenging and time consuming endeavor. 

Advertisers and agencies that attempt to create ROI-positive programmatic campaigns based on KPIs related to sales, app installs or other conclusions face difficult scenarios in delivering on those expectations. This usually results in a reduction of programmatic sources in the media mix for performance campaigns.

About: Adkernel is a leading provider of transparent ad technology. Clients are using Adkernel’s white-label DSP (DSP Suite), RTB Exchange (RTB Suite) and PPC ad-server (PPC Suite) to process over 200 Billion ad requests daily, making Adkernel one of the largest independent ad technology platforms. 

In this case study, we’re featuring a large O&O (Owned and Operated) publisher network who are using the KPI automation features included in Adkernel’s DSP Suiteâ„¢ to automate and drive performance results for their advertisers, as well as their bottom line.


TLDR: They’ve increased budget allocations from their advertisers and reduced amounts of manual intervention in campaign performance that frees up their team to onboard more direct advertisers.

Case Study: Large Direct Publisher Network 


Background: The client featured here is a large direct publisher network which relies heavily on maintaining the performance of the campaigns for their direct advertisers, which are mainly performance marketing agencies and self-serve clients with CPA goals. 

Previous to launching their Adkernel-based platform, our client faced serious issues in growing the self-serve advertising spend on their platform, based on poor CPA performance as well as the amount of time required on a per-advertiser basis by their Ad Operations teams to effectively optimize performance.

After implementing Adkernel’s DSP Suite and connecting it to their Owned and Operated (O&O) web properties, the client network began offering select advertisers with access to Adkernel’s KPI automation features in the campaign manager. 

They have since shared feedback that their clients are extremely satisfied with the performance of the KPI automation.  Further, they have been able to utilize network-level optimizers to increase the profitability while still satisfying their advertisers KPIs, a long term goal which they had struggled to achieve.

KPI Bid Optimizations for Campaigns: 

Advertisers are able to target CPA and CPC goals using built in campaign controls. The optimizers begin with a learning period of ~24 hours, where bid levels and adjustments are tested based on dimensions of the traffic inventory. After the initial learning period, campaign performance is effectively automated and adjusts bids according to KPI targets. Sources that do not deliver conversions have bids reduced, and budget is allocated to more performant sources and to exploring any new sources that may have been added.

Here, we see the aggregate results for recent campaigns: the sums of the traffic cost (Win Cost) against a sum of the Target Costs for the campaign CPA goals.

As you’ll see, the sum of the traffic cost is, in some cases, significantly lower than the sum of the target CPA goals. This margin also allows for further optimization on the network level – increasing margins 

Walkthrough: Main Features of the KPI Optimization within Adkernel’s DSP Suite:

1. Bid Optimization Modes: The DSP Suite offers several bid optimization modes, including CPA (cost per action), CPC (cost per click), and CPCV (cost per completed video). These modes allow advertisers to align their bidding strategies with specific campaign objectives and target KPIs effectively.

 Default Bids: The default bid represents the initial bid value set for each sub ID. If the optimizer runs in “full auto” mode without using the “Min source clicks/spend for optimization” setting, changing the default bid won’t affect the optimized bids. 

However, if the “Min source clicks/spend for optimization” setting is used, the bids for sources that haven’t reached the minimum threshold will change accordingly.



Conclusion:

Adkernel’s DSP Suite is a transformative force in programmatic media buying. With its KPI automation features and bid optimization modes, it streamlines campaign performance, enhances profitability, and boosts client satisfaction. Advertisers and agencies can now unlock the full potential of programmatic advertising, all under the transparent and reliable umbrella of Adkernel’s white-label DSP Suite.

If you would like to learn more about Adkernel, or schedule a demo, please contact sales@adkernel.com