Best Buy answered tech questions from anyone, about any brand, and let strangers watch

the problem

Traditional customer support is private by default — a call center conversation happens between one customer and one agent, invisible to everyone else who has the exact same question, so the same answer gets produced from scratch over and over at full cost every single time

background

what everyone would do

The standard way to run customer support is to keep it private and scoped narrowly to your own products — a call center or help-desk channel where one agent resolves one customer's question at a time, and where the retailer only helps with what it actually sells, since helping with a competitor's product looks like giving away expertise for free. Every version of that answer produces the same result: the exact same question gets answered from scratch, at full labor cost, every single time it recurs, with the resolution invisible to the next customer who has it.

what they saw

Best Buy saw that a support answer, once given, doesn't have to disappear the moment the conversation ends — if the conversation happened somewhere public and searchable instead of a private channel, the same labor that resolved one customer's question could keep resolving that question for every future customer who searched for it, converting a cost center into a compounding content asset. Extending the scope beyond Best Buy's own catalog to any tech question about any brand wasn't generosity for its own sake, it was the thing that made the public conversation worth having at all — a retailer only willing to discuss its own inventory in public looks self-interested, while one willing to help with any device looks like the actual authority customers want to ask.

the move

By making support conversations public and open to any tech question rather than gated to Best Buy's own product catalog, each answer became a durable, searchable, indexable asset that could resolve the same question for every future person who searched it — converting a cost center that produced value once per interaction into content that kept producing value indefinitely, while demonstrating expertise broader than the company's own inventory.

why it works

By making support conversations happen on a public, indexable platform rather than a private support ticket, each individual answer stopped being a one-time cost and became a durable asset that kept generating value for every subsequent person who searched the same question, without requiring the company to spend the labor again — this is why the mechanism scaled the way it did (2,500+ participating employees, tens of thousands of documented answers) at what was, relative to a comparable volume of private call-center interactions, a fraction of the marginal cost. Widening the scope to any brand, not just Best Buy's own products, meant customers had a genuine reason to associate Best Buy with expertise rather than just inventory, building trust that a narrowly-scoped, product-only help channel could never generate — a customer asking about a competitor's laptop and getting a real, useful answer learns something about Best Buy's credibility that no ad could tell them directly. The under-12-minute average response time and reported drop in complaints suggest the public format also created social accountability that pushed responsiveness up, since a visibly slow or unhelpful public answer reflects on the brand in a way a private, unwitnessed delay never does.

the payoff

Within its first months, Twelpforce grew from roughly 400 to more than 2,500 participating employees, collectively answering tens of thousands of questions (documented at over 28,000 in later tallies) with an average response time under 12 minutes, and Best Buy reported a roughly 20% drop in customer complaints attributed to the program's responsiveness.

where it breaks

This mechanism depends on the underlying support content genuinely being reusable across many future customers — questions that are highly account-specific or require access to private customer data can't be answered publicly at all, so the compounding-value logic only applies to the subset of support interactions that are genuinely generic rather than personal. It also depends on the company having (or being willing to build) real expertise broad enough to credibly answer questions beyond its own product catalog — a retailer without genuine cross-brand knowledge attempting the same public, any-brand promise would either give bad advice publicly (a reputational risk a private channel never exposes) or be unable to sustain the promise at scale. And the model requires enough participating staff and organizational tolerance for public, informal, personality-driven answers — a company culture that needs every customer-facing statement pre-approved or scripted would struggle to replicate the authentic, fast, personal tone that made Twelpforce's public answers feel trustworthy rather than corporate.

what came after

Twelpforce won the Titanium Grand Prix at Cannes Lions in 2010, one of only two awarded that year, and is a standard case study in social-customer-service and marketing literature for converting a private cost center (support) into public, brand-building content simply by changing where the conversation happened, not what was said.

references

1. [1]TechCrunch — Best Buy Goes All Twitter Crazy With @TwelpforceTechCrunch, 2009techcrunch.com
2. [2]Ad Age — What Best Buy Learned About Service as Marketing and Empowering EmployeesAd Age, 2010adage.com

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