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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Assertive Yield Optimize Engine and Forecasting Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
1729 Digital Professional Services 16 $2M Singapore Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2023 n/a
In 2023, 1729 Digital deployed Assertive Yield Optimize Engine and Forecasting on their website. The implementation uses the Apps Category and embeds Assertive Yield Optimize Engine and Forecasting as the site level optimization and forecasting layer for traffic allocation and demand forecasting. Configuration centered on the application’s optimization engine and forecasting capabilities, including experiment configuration, real time decisioning, model driven forecast outputs, and campaign scheduling modules. Operational scope is confined to the company website and is governed by the website product owner and marketing team, with configuration and experiment management centralized inside Assertive Yield Optimize Engine and Forecasting and runtime behavior exposed to site delivery systems.
Aachener Zeitung Germany Media 300 $95M Germany Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2024 n/a
In 2024, Aachener Zeitung Germany implemented Assertive Yield Optimize Engine and Forecasting on its website. The deployment of Assertive Yield Optimize Engine and Forecasting, Apps Category "", centralized online ad yield management and forecasting capabilities within the publisher's digital monetization stack and established a single point of configuration for optimization rules and forecasting horizons. The implementation embedded Assertive Yield Optimize Engine and Forecasting into on-site ad serving flows and programmatic monetization workflows, configuring modules for yield optimization and forecast generation. Operational ownership was aligned to the publisher's digital revenue and ad operations teams, which configured pacing controls, optimization rule sets, and forecast parameters to support editorial and commercial planning. Aachener Zeitung Germany Assertive Yield Optimize Engine and Forecasting "" ad operations and programmatic monetization.
Arkansas Times Media 36 $5M United States Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2022 n/a
In 2022 Arkansas Times implemented Assertive Yield Optimize Engine and Forecasting on their website, deploying Assertive Yield Optimize Engine and Forecasting as a publisher-side yield optimization and forecasting capability. Apps Category is present in the implementation description, and the deployment is centered on the Arkansas Times web property rather than enterprise back office systems. The implementation leverages the Assertive Yield Optimize Engine and Forecasting core capabilities, specifically the optimize engine for dynamic yield adjustments and the forecasting component for short term inventory and revenue projections. Configuration activity focused on rulesets, inventory segmentation, and model parameterization to align the optimize engine and forecasting outputs with the publisher s ad inventory characteristics and pricing strategies. Operational integration is constrained to the website delivery layer, where Assertive Yield Optimize Engine and Forecasting executes decisioning against page level ad requests and reports into the publisher s measurement stack. The deployment scope is publisher advertising operations and revenue management, with the solution instrumenting real time decision workflows and feed outputs into analytics and ad operations processes. Governance is organized around digital advertising and revenue stakeholders, with phased rollout across site sections to validate forecast accuracy and tune optimization rules. The narrative focuses on architecture and operational alignment, describing how Assertive Yield Optimize Engine and Forecasting is embedded into Arkansas Times advertising operations to support ongoing yield management and forecasting cadence.
Professional Services 30 $3M Netherlands Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2022 n/a
Media 23 $3M United States Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2022 n/a
Media 10 $1M United States Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2022 n/a
Professional Services 10 $2M Vietnam Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2023 n/a
Media 10 $1M Germany Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2021 n/a
Media 12 $2M United States Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2022 n/a
Media 12 $2M United States Assertive Yield Assertive Yield Optimize Engine and Forecasting Marketing Automation 2022 n/a
Showing 1 to 10 of 20 entries

Buyer Intent: Companies Evaluating Assertive Yield Optimize Engine and Forecasting

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FAQ - APPS RUN THE WORLD Assertive Yield Optimize Engine and Forecasting Coverage

Assertive Yield Optimize Engine and Forecasting is a Marketing Automation solution from Assertive Yield.

Companies worldwide use Assertive Yield Optimize Engine and Forecasting, from small firms to large enterprises across 21+ industries.

Organizations such as Aachener Zeitung Germany, LoveToKnow Media, Wftw, Arkansas Times and Lee Enterprisesorporated The Times are recorded users of Assertive Yield Optimize Engine and Forecasting for Marketing Automation.

Companies using Assertive Yield Optimize Engine and Forecasting are most concentrated in Media, with adoption spanning over 21 industries.

Companies using Assertive Yield Optimize Engine and Forecasting are most concentrated in Germany and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Assertive Yield Optimize Engine and Forecasting across Americas, EMEA, and APAC.

Companies using Assertive Yield Optimize Engine and Forecasting range from small businesses with 0-100 employees - 95%, to mid-sized firms with 101-1,000 employees - 5%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of Assertive Yield Optimize Engine and Forecasting include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Assertive Yield Optimize Engine and Forecasting customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Marketing Automation.