Impact so far

• 6,300+ relationships across customers and prospects, queried by Claude through the Boomerang MCP.
• 1 rep, 3 to 4 new opportunities within weeks of launch, while the other two reps were at trade shows.
• 40 open new-business deals now worked with relationship paths.
• Faster commitment from buyers when a known relationship is attached to the deal.

Context

Digideck by Sportsdigita builds interactive sales presentations for sports and entertainment, trusted by 600+ partners. It sells to sports teams and brands, a market where everyone knows everyone. The new-business team is three reps, and every fall two of them spend most weeks at trade shows, just when pipeline matters most.

The challenge

The usual warm-intro playbook did not fit. Asking customer success managers to source intros would have meant paying them a share of commission on deals they helped open, which the team did not want to take on. And researching which customer is connected to which prospect, account by account, was not something three reps had time for.

The question became: could an AI assistant do that research across the whole market, using relationship data it could trust?

Why Claude plus the Boomerang MCP

• Boomerang supplies the relationships. Connected to Salesforce, Boomerang mapped nearly the entire customer and prospect base.
• Claude supplies the reasoning, at scale. Through the Boomerang MCP server, Claude can query that graph for every account at once and add public knowledge, like ownership groups, parent companies and shared leadership.
• No new tool for reps. The output lands where the team already works, ready to act on.

"I challenged Claude to use the Boomerang MCP and public knowledge to find our customers' sister companies. It actually worked extremely well." Jacob Anderson, Sr. Growth Marketing Manager, Digideck

How the Claude workflow works

Jacob gave Claude one job: use what Boomerang already knows, plus public information, to find every company related to an existing customer, and show exactly where the relationship runs.

1. Ask. Claude queries the Boomerang graph through the MCP for the full customer and prospect base.
2. Enrich. Claude adds public knowledge to find sister companies: shared owners, parent companies and leadership.
3. Map. Claude builds an artifact with each rep, each target account and the path Boomerang found.
4. Act. Reps open it, pick an account, see which customer knows the buyer, and reach out with the reverse name drop.

Results so far

• One rep, 3 to 4 opportunities, within weeks. The one rep not at trade shows ran the reverse name drop campaign and opened three to four new opportunities within weeks of launch.
• Faster commitment. "When you have the leverage of the relationship, people commit a lot faster."
• Leadership buy-in. After the first wins, VP of Sales Jack made it standard for every new-business rep.
• A play for stalled deals. On roughly 40 open deals, reps find a customer the quiet buyer knows and use that relationship to restart the conversation.

What's next

• A sharper prompt with calendar data. With the admin-level Google Calendar connection, every path is scored by real meetings. Jacob can then ask Claude to keep only connectors the team has met in the last 12 months.
• Sister-company ABM campaign, after a validation pass with Digideck's president.
• Full results by year end, once all three reps run the play every week.