Fast Implementation. Quick Payback.
Switchboard Delivers Unmatched ROI
Get your team focused on using data versus fighting with it. Switchboard's enterprise-grade DataOps SaaS platform
enables you to be up and running in weeks with a battle-tested solution versus months (or longer) for custom engineering projects.
Free your analysts from stale spreadsheets and unleash the confident decision-makers on your team.
Be Up and Running Before Next Month's Report
Automatic alerts prevent data surprises
Be productive in weeks
Another broken API? Eliminate constant maintenance
Switchboard costs 70%
less (or more) than custom engineering projects
— Barry C., Head of Advertising Data Operations
If you're trying to do what Switchboard does on your own as an advertiser or publisher—you're doing it wrong. It would have cost an estimated $400K+ and at least six months if we built this ourselves; not to mention maintenance and ownerships costs.
— Chris Martin, COO of MightyHive
Free your Analysts to do Analysis...Not Wrestle Spreadsheets
(Don't confuse activity with action. Spending a day every week consolidating data is activity. Deriving insights from your data enables your Analysts to take Action.)
Collaborate with our domain experts in media data and analysis
Be productive in weeks
Unleash Your Teams
Drive business decisions with up-to-the-minute data
Stop pleading for IT/Dev resources to update a report
No IT/Dev Support
Same Quarter ROI
Stale Manual Reports
Drill-down Yield Metrics
eCPM, Sell-Through, Availability across the business
Consolidated revenue across direct, programmatic, O&O/partner
in additional revenue
Real-time forecasts available at your team's fingertips
Join datasets to derive Revenue per Pageview, Sessions, User
From the team that launched Google BigQuery, Switchboard was made for the demands of leading media companies like the Financial Times and Meredith Corporation—see their ROI highlights below, and read the full Case Studies for complete details.
If this thought has crossed your mind: "Current solutions are expensive, hard to implement, hard to budget, hard to maintain – so I avoid them and am not moving my business forward." Then let's talk about how we helped some of the largest media companies to Be Data Strong.
Saved an estimated six months of development and data preparation - approximately 5,000 engineering hours - per project.
The majority of external data sources, many of which required complex custom business logic, were onboarded in a matter of weeks.
No additional staffing was required on Meredith’s part to manage its large volumes of advertising data.
Stood up sell-through forecast in one week, CPH ops solution in three weeks
Rolled out real-time forecasting available to all yield, planning, and ops teams, eliminating a manual bottleneck of four-person days per forecast
Large-scale data automation and governance was delivered via hosted platform, requiring no additional developer investment