JD Case Study · Best Buy

Director, Customer Insights & Integration

A Director owning customer insights and the integration of fragmented data into one decision-ready view — segmentation, lifecycle, and the measurement that connects marketing and CX to outcomes. Same lifecycle-analytics engine I’ve shipped, on a retail customer book — and Best Buy is a lease-to-own partner, so I already know the financing layer at its checkout.

Richfield, MN · hybrid · $133K–$237K · View the job description →

Jun 22, 2026

What they’re actually buying

Turn scattered customer data into a single truth the business acts on. The "insights" half is segmentation and lifecycle; the "integration" half — the harder one — is stitching sources into a coherent customer view and making it decision-ready. The job is one trustworthy picture of the guest, fast enough to matter.

How I’d own it — first 90 days

Days 1–30

Map the customer-data landscape

Audit the sources, the existing segmentation, and the lifecycle KPIs. Meet Marketing, CX, and Analytics, and find where the data is fragmented enough to be producing conflicting answers.

Days 31–60

Build the integrated view

Stand up an integrated segmentation + lifecycle dashboard — one customer truth across channels — and size the top two or three insight-to-action opportunities in dollars of incremental sales.

Days 61–90

Land an insight-to-action win

Take one segment opportunity from insight to a measured intervention with Marketing/CX, prove the lift, and set the cadence for integrated customer reporting the org runs by.

Signature analysis: the retail customer lifecycle

Shoppers 100 indexed to 100

Buyers 41

Repeat buyers 23

My Best Buy members 16

Retained / advocates 12 the loyalty base

The integration payoff: the repeat→membership step is the retention multiplier, but it’s exactly where channel data is most fragmented (store vs. online vs. app vs. card). Integrate those into one customer view and the membership-conversion lever becomes measurable — and movable — for the first time.

Illustrative figures — a retail customer lifecycle with the highest-leverage step identified, and a reason the "integration" mandate matters: you can’t move what you can’t see across channels.

Requirement → proof

What the JD asks for	What I’ve already shipped
Customer insights, segmentation, lifecycle analytics	A full lifecycle funnel + behavioral cohorts + LTV model, calibrated to real results.
Data integration → one decision-ready view	Market-intelligence dashboards that stitch many sources into one sourced, decision-ready picture.
Executive storytelling — insight, not metrics	An exec scorecard built to surface actions, plus narrative briefings.
SQL, Tableau, dashboards	Show-the-SQL blocks and years of Tableau work ported native to this site.
Retail + consumer-financing context	I profiled the lease-to-own players that sit at retail checkout — Progressive, Acima — Best Buy’s financing layer.

The same engine

The engine is the same one this portfolio runs on — segmentation, lifecycle funnel, LTV, exec scorecard — and "integration" is what I already do on every page: stitch many sources into one sourced, decision-ready view. Retail guest or lease customer, the discipline is identical.

See the engine →

Hire the work, not the headcount

You’ve already priced this role. Here’s what the money buys.

Best Buy says Director, Customer Insights & Integration is worth $133K–$237K a year (posted base range). Fully loaded — payroll taxes, health insurance, benefits, roughly +25% — the midpoint runs about $231K a year: $111 an hour, for all 2,080 hours, ramp and meetings included. And the ramp is real: a new leader’s breakeven averages about 6 months (Watkins, The First 90 Days) — call it $116K spent before the first shipped thing. The candidate who interviews well will be great in the room and diligent on the kanban board. What they won’t do is build the systems. That’s the part I sell.

The build · 90 days

$30,000

~120 hours ships the first-year plan on this page as working systems on your data — dashboards, pipelines, automations that keep running after I stop billing. Value in week one, not month 9. Compare: $116K for the hire’s ramp alone.

The rate

$250/hr

Yes — 2.3× your hire’s loaded hourly. But you buy the ~120 hours that ship, not the 2,080 that mostly don’t. Priced per outcome instead of per hour, it isn’t close.

The bench · after the build

$3,500/mo

My agents run your refreshes and monitors on a schedule — the same fleet that keeps this site’s data current — and I stay on call. Month to month; cancel anytime; the systems are yours either way.

Founding-build rate: the first 3 builds run $15,000 — half the list price — in exchange for a named, written case study. When the third case study ships, so does this rate.

Or keep the req. Hire the person who’s great in the room — and pay me to make them dangerous: the same $30,000 build, handed to your new director on day one, pulls their breakeven from month 6+ to month two. The expensive mistake isn’t the hire; it’s the hire with no system underneath them. This case study is the free sample of what the system looks like.

Email me the req All services & prices

Customer insight that’s actually integrated — one truth, decision-ready — is what I’ve shipped in public. Let’s talk about your guest view. — Paul Brown