The WFA Sourcing Forum members met in New York on December 2018. The key topics include challenges of the sourcing functions, procurement as change agents and metrics modernization. 

Meeting headlines: 1. Enabling the deployment of your organisation’s own tech stack 2. Reaching sourcing maturity through better agency evaluations and SOW 3. Balancing cost and value metrics to better demonstrating digital media performance 4. Effective PBR model: it all starts with the right set of KPIs

Overview of the Digital Governance Exchange (DGX) meeting held on 3 October 2018 in Singapore.

 Overview of the Media Forum held on 11 September 2019 in Cologne in conjunction with Dmexco.

 The WFA Data Transparency Advisory Board brings together a cross-functional team of member experts to identify and scale best practice on data transparency.

 Meeting headlines: 1. Marketing sourcing as change agents 2. Cross functional collaboration enables innovation 3. Evolving your agency roster model to get more control 4. Flexibility is the key to finding a balance between in-house – external resource 5. The increasing need to effectively collaborate with IT procurement

Overview of the Digital Governance Exchange (DGX) meeting held in May 2018 in Singapore.

Presentations from WFA’s Digital Governance Exchange (DGX) meeting on April 26, 2018 in London.

 Meeting headlines: 1. Fair & motivating remuneration = better results 2. Understanding the 3 primary remuneration model constructs 3. Demystifying ZBB or Zero-Based Budgeting 4. Effective PBR requires co-created KPIs easily understood, and measured, by all parties 5. Content production: working with crowdsourcing platforms 6. Project Spring: “moving from what we’re buying to what we expect what we buy to do”

 Meeting headlines: 1. Project Spring: sourcing enabling marketing and driving business success 2. Convincing marketing of the value of sourcing to the business 3. Using software solutions to evolve your relationships with partners 4. Driving better agency management through effective data reconciliation 5. Remuneration: “there are no right or wrong models, but for each you can do it in the good or bad way”