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Yield Management Use Cases

Smart Advertising Analytics for advertising yield management

Smart Advertising Analytics to manage direct & programmatic advertising yield and to implement stronger revenue strategies for digital advertising

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Yield

Access advanced advertising data to reinforce your decision making process, on pricing and more

Advertising Yield Management Use Cases

Maximize your Open Auction revenue with automated recommendations for your prebid setup

Platform Yield Recommendations - Yield Optimization _ Prebid Optimization
01

Receive automated recommendations powered by machine learning with estimated lift on your revenue

02

Optimize your set of prebid bidders, time-out settings, user ID modules, etc. per environment (Desktop Web, Mobile Web, In-App), audience type (cookie or cookieless), or section based on Adomik recommendations

03

A/B test your changes and monitor the revenue uplift in full transparency until the next recommendation cycle!

App Used: Yield

A/B test any change to your prebid setup before implementation to assess the holistic impact on revenue

01

Launch custom A/B tests through a user-friendly interface for any change that you want to apply to your prebid setup, whether they are based on Adomik automated recommendations or not: time-out reduction, bidder removal, move from client to server-side, removal of an ad unit, etc.

02

Assess the overall impact of the change with dedicated measurement of the revenue uplift on your entire advertising activity (Direct, PGs, PMPs, Open Auction) and your user monetization (revenue per user, per session, etc.)

03

Implement the changes of your choice with full confidence in the expected results

App Used: Yield

Yield Use Case AB Tests for web - Advertising yield optimization

Monitor the evolution of CPM and RPM across SSPs and between Open Auction, PMP, & PG

01

Compare in one view the “CPM pyramid” across the Sales channels (PG (Programmatic Guaranteed), PMP (Private Marketplace), Open Auction) for any selection of inventory

02

Analyze the impact on overall revenue, CPM, and revenue per mille (RPM) of every change you make: new supply-side platform (SSP) in the Header, update of floor prices, new PMP, etc.

03

Leverage the TROUBLESHOOT « Gains » data to ensure that your PMP are delivering incremental revenue vs. Open Auction

Leverage CTR & Viewability cross-stack data to refine PMP proposals and pricing

01

Switch to Adomik’s « CTR / Viewability » view to access your full inventory’s quality data at a glance

02

Easily identify high value inventory to adapt pricing and package better PMP proposals

Yield Management

Assess whether your revenue sources are bringing exclusive demand and incremental revenue

Yield Management
01

Use REPORT Buyers/Brands tables to discover the buyers and brands active on each SSP

02

List the unique demand brought by your SSP in the header or behind Open Bidding

03

Secure the SSP that brings the most exclusive demand

Benchmark your yield performance against your peers

01

Compare your PG, PMP, Open Auction CPM and Share of Voice to that of your peers, on display, video, native, mobile, etc. in BENCHMARK

02

Adjust your pricing and revenue strategy based on comprehensive market data

Yield Management Benchmark analytics

"Before Adomik we needed to run multiple reports and also rely on other departments. The amount of time we used to spend pulling and standardizing data from different exchanges created a lot of inefficiency. It was time-consuming and we didn’t get the right insights. With Adomik, we stopped wasting time on data collection; now we can finally spend our time in analysis with the right insights. Keeping it simple is very hard. Adomik is both simple and impactful."

adomik yield illustration for who

Ravikumar Munukutla
Principal Product Manager
Cox Automotive

Adomik Client- Cox Automotive - Used by the world's most trusted ad publishers
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More efficiency, revenue & transparency

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Adomik Client- Cox Automotive - Used by the world's most trusted ad publishers

Consolidated & accurate data and zero discrepancy

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