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@2gov had a slightly dierent set of leap-of-faith questions to<br />

answer. It still depended on customers signing up, verifying their<br />

voter status, and referring their friends, but the growth model<br />

changed. Instead of relying on an engagement-driven business<br />

(“sticky” growth), @2gov was more transactional. David’s<br />

hypothesis was that passionate activists would be willing to pay<br />

money to have @2gov facilitate contacts on behalf of voters who<br />

cared about their issues.<br />

David’s new MVP took four months and another $30,000. He’d<br />

now spent a grand total of $50,000 and worked <strong>for</strong> twelve months.<br />

But the results from his next round of testing were dramatic:<br />

registration rate 42 percent, activation 83 percent, retention 21<br />

percent, and referral a whopping 54 percent. However, the number<br />

of activists willing to pay was less than 1 percent. The value of each<br />

transaction was far too low to sustain a protable business even<br />

after David had done his best to optimize it.<br />

Be<strong>for</strong>e we get to David’s next pivot, notice how convincingly he<br />

was able to demonstrate validated learning. He hoped that with this<br />

new product, he would be able to improve his leap-of-faith metrics<br />

dramatically, and he did (see the chart below).<br />

BEFORE PIVOT AFTER PIVOT<br />

Engine of growth Sticky Paid<br />

Registration rate 17% 42%<br />

Activation 90% 83%<br />

Retention 8% 21%<br />

Referral 6% 54%<br />

Revenue n/a 1%<br />

Lifetime value (LTV) n/a Minimal<br />

He did this not by working harder but by working smarter, taking

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