How the Seattle Mariners Switched to SalesIntel and Found the Data Quality Their Market Demands

Company Overview

Selling season tickets for an MLB team is nothing like selling into an enterprise with thousands of potential buyers. The Seattle Mariners operate in a defined geographic market across the Pacific Northwest. There is no blasting a broad list and seeing what sticks. Every company and every contact in their territory matters, and when the data on an account is wrong, there is no other version of that account to call instead.

The Mariners’ sales operation depends on relationships with local businesses for season ticket packages, group sales, and premium hospitality. Their team needs to know exactly who to call, when to call them, and whether the account is trending toward renewal or at risk of lapsing. In a small market, misallocated rep time is not just inefficient. It directly costs deals.

Challenges

The Mariners’ reps were working hard. But they were working without the right signals to guide where that effort went.

Account prioritization relied on gut feel and outdated records. Reps could not easily see which accounts had the highest propensity to renew, which were drifting cold, or which new logos were worth pursuing first. Time was spread evenly across accounts that deserved different levels of attention.

Contact data was unreliable in a market that cannot absorb errors. When a key decision-maker changed roles or left a company, the Mariners’ records did not update. In an enterprise market, a bad record means trying the next contact on the list. In a concentrated geography like the Pacific Northwest, a bad record can mean losing the only path into an account.

Renewals were at risk because reps reached out too late. Without a clear view of which accounts were trending toward lapse, reps were reactive instead of proactive. By the time a rep realized an account was cooling, the window to save the renewal had often already closed.

Net new prospecting lacked signal. When reps went after new logos, they were working territory lists alphabetically or by size rather than by intent or likelihood to buy.

No single system connected account health to rep action. Account status lived in one place, contact records in another, and rep activity in a third. Nobody had a unified view that said: this account needs attention now, and here is who to call.