Customer support
Do I get a dedicated support team during implementation and post implementation?
Yes, you will be assigned an account lead to coordinate deployment efforts, and post deployment support. Post deployment support includes working with you on execution strategy, and any custom efforts that may be required. Through your account lead, you will be able to access data science, revenue, operational and technical resources to address support and custom development requirements. We are confident that our support services and operational felxibility are considered a strength of the company.
You will be provided a dedicated account manager, and that individual will craft a deployment and post-deployment plan that aligns to your operational and revenue strategy. They will coordinate internal resources on your behalf, track performance, and provide consultative guidance from go live through steady state operation.
What is Carbon's onboarding and deployment methodology?
Carbon aim to work in close partnership with our publisher clients in order to align with and support your commercial goals. Onboarding & deployment support includes:
- Tag deployment support, including line items map for prebid activity
- Walkthroughs & training, including demos, logins and training for all that require it
- KPI Setting, targets, audience requests, etc
- Weekly calls, to provide optimisation suggestions & data science assistance and analysis
- Quarterly Reviews, to go through KPI results, quarterly road mapping, etc.
We also focus on innovation with our SaaS clients, helping to consolidate the capabilities of multiple platforms into a single integrated revenue management environment.
How will Carbon assist with the initial set up and creating a taxonomy?
Carbon’s automated categorisation engine uses the IAB's content taxonomy 2.2 plus our own custom brands and keywords to manage the majority of the work required to create and populate an initial taxonomy. The Carbon client success team would work closely with you to utilise Carbon tools to bring more granularity to the categorisation, review and extend/re-organise the taxonomy if appropriate and work with our data science team to help surface any particularly valuable modelled segments.