Sharpening sales coaching, conversion diagnostics & forecasting, with Rig's context layer and Rig MCP
Novakid is a global EdTech platform delivering live, one-to-one English lessons to children in over 50 countries. Their BigQuery warehouse is the source of truth for sales, marketing and ops, but it was effectively read-only for the people closest to revenue. The CTO and CRO brought in Rig to flip that, letting sales managers and ops teams query the warehouse directly and build the data tooling they'd been asking for.
From a single technical user testing the connection to the commercial team running Rig MCP in Claude every day, in two months.
A 5,000-table warehouse, commercial teams locked out.
Sales managers, country leads and revenue ops at Novakid were running a global, high-volume business on top of a BigQuery estate they couldn't query directly. Every operational question (which campaigns are converting best, how trial-to-purchase is trending by country, which reps to highlight as best practice) routed through a small data team.
The CRO wanted the people closest to revenue to query and build on the warehouse themselves, without compromising governance and without a queue.
Why Rig
Rig built a managed context layer over Novakid's BigQuery warehouse, then handed sales, marketing and ops teams Rig MCP access inside Claude. Commercial users get to query, the data team gets to govern, and every call runs against the same certified context.
How commercial teams use Rig
The shape of Rig MCP usage across the org, aggregated by team and goal. Every question runs against the same context, every answer is governed by per-user permissions.
Trial-to-purchase performance by country, year-on-year movement, regional conversion drivers. Asked weekly by country leads.
Comparing rep call content to top managers worldwide, objection-handling patterns from transcripts, coaching opportunities surfaced from outcomes.
Which campaigns convert to trial and to purchase by country, best send-time for offer mailings, spend re-allocated to the strongest performers.
Workload by manager, plan vs actuals by region, retention metrics by cohort, call answer-rate by attempt number. Standing daily questions, now self-served.
Forward-looking forecasts of new-student purchases against the business plan, regional pipeline projections, secondary-sales upside.