How Gusto Found Its Best Creators Inside Its Own Customer Base

In short

Gusto, a payroll and HR platform serving small and medium businesses, ran a creator campaign during US tax season. Instead of casting influencers based on reach, impact.com (the platform that ran the campaign) used social listening to find people already talking about Gusto organically, and 14 of the 17 creators they recruited were already paying customers. According to impact.com’s case study, the campaign generated 23.6 million impressions against an initial goal of 3.5 million. The headline number is less interesting than the mechanic behind it: endorsements that are discovered rather than manufactured perform differently because the person making them actually means it.

What you’ll learn

• Why customer-creators outperform traditional influencers for B2B SaaS

• How social listening surfaces creators your audience already trusts

• Why tax season timing made the campaign land

• How amplification turned organic content into paid reach

• What’s verifiable here, and what comes from a single source

The setup: finding the right moment and the right people

Gusto’s challenge is typical of B2B SaaS targeting SMB owners: the audience is large in theory, hard to reach in practice, and skeptical of vendor-led marketing. Small business owners don’t spend their days looking for new payroll software. But during tax season they do think hard about whether their current tools are working, which made the timing the first strategic move: launch when the cost of staying on a bad tool feels highest, not when Gusto had something to announce.

The second move was the sourcing method. Rather than briefing a talent agency to cast creators by audience demographics, the team used social listening to find people already posting about Gusto without being paid. According to impact.com’s case study, 14 of the 17 creators cast were existing Gusto customers before the campaign began. The endorsements, as the case study puts it, were discovered rather than manufactured.

That distinction is the whole case. The same message about Gusto’s payroll features lands differently from someone who uses it to pay their own team every month than from someone handed a brief and a fee. Audiences can tell, and in a category as personal as managing people’s paychecks, trust is the only thing that moves a decision.

Why customer-creators beat traditional influencers here

The standard B2B influencer vetting process looks for audience match, engagement quality, domain expertise, and brand fit. Customer-creators satisfy all four without you having to verify them individually, because the purchase decision already did the verification. Someone running a small business who chose Gusto, stayed on it, and talked about it organically has demonstrated real domain fit, genuine brand alignment, and an audience of peers who trust their operational judgment.

There’s also a credibility floor that a non-user creator can’t reach. A sponsored creator can say “Gusto makes payroll simple.” A customer-creator can say “I used to dread payroll Fridays and now I don’t think about it.” The second version is specific, verifiable by anyone who knows the product, and signals that the person has skin in the game. In B2B, where buyers are sophisticated and the purchase is consequential, that specificity does what no brief can manufacture.

The sourcing method matters here too. Social listening to find people already posting about you, rather than outreach to creators who’ve never heard of you, changes the nature of the partnership before the first conversation. You’re not asking someone to care about your brand, you’re asking someone who already cares to make that visible.

The amplification mechanic

The amplification layer built on top of the organic posts followed the same logic as Dreamdata’s program: let organic performance select the winners, then put paid budget behind the best content. This is the amplification format at its most efficient, organic content earning the right to paid reach rather than paid reach substituting for organic credibility. According to impact.com’s case study, seven of the 17 creators cross-posted across both Instagram and TikTok, more than doubling the native reach, and a paid strategy on both platforms pushed impressions past the original target.

There’s a timing point worth pulling out too, because it generalizes. The category of “should I switch payroll software” isn’t top of mind in August; it is in the weeks around tax deadlines. Matching the campaign window to the buyer’s natural decision moment multiplies relevance without changing the message, and it works for any product whose problem is seasonal or triggered: budget season, a compliance deadline, a renewal cycle.

What’s verifiable here, and what isn’t

The same sourcing honesty that applies to every case in this cluster applies here. All performance figures come from impact.com’s own published case study. Impact.com ran the campaign, has an interest in showing strong results, and Gusto has not publicly corroborated these numbers separately. That makes them best read as the platform’s reported campaign metrics, not independently audited outcomes.

The numbers themselves, 23.6 million impressions against a 3.5 million goal, are worth one additional note of context: an initial target of 3.5 million impressions is modest for a brand of Gusto’s size, which makes the 6.8x multiple more a reflection of a conservative baseline than a transformation of expectations. The campaign performed strongly on reach. What it did to pipeline, CAC, or customer acquisition isn’t in the public record, and any claim in that direction would be going beyond what the source supports.

What remains solid regardless of the numbers is the mechanic: sourcing creators from your existing customer base via social listening, matching the campaign window to the category’s natural decision moment, and amplifying organic performance with paid budget. None of those three moves depends on the impression count being exactly right, and all of them transfer. If your product has real fans already posting about it, you have a creator roster no talent search will surface, and a simple outreach (“we noticed you mentioned us, would you be open to a partnership?”) converts them.

Conclusion

Gusto’s campaign is the clearest case in this cluster for a sourcing principle most B2B brands ignore: the people most credibly placed to advocate for your product are the ones already using it. The 14-out-of-17 figure isn’t a lucky coincidence, it’s the result of a deliberate search method, and it’s the reason the content performed the way impact.com reports it did.

The most expensive mistake the case warns against is the default: cast creators based on reach and demographic fit, brief them on your product, and trust that a professional can fake genuine enthusiasm. They can’t, not well enough to convince a skeptical B2B buyer, and the gap between performed and actual experience is exactly what kills B2B influencer campaigns in a category where the audience knows the product better than the creator does.

The Kast take

The “find creators in your customer base” move is one we push hard on with clients, because the sourcing work is genuinely different and most teams don’t know how to do it. It’s not a talent search, it’s a listening exercise. You’re looking for people who have already voted with their time and money, and who care enough to share that unprompted. That signal is worth more than any demographic filter.

The honest caveat we’d add is that this only works if your product has already earned genuine advocacy. If nobody is talking about you online, social listening finds nothing, and no sourcing method rescues a product that hasn’t built real trust with its users. When the customer advocacy exists, the campaign builds on something real. When it doesn’t, even the best creator roster is papering over a gap that marketing can’t close. Knowing which situation you’re in before commissioning a program is the kind of honest assessment that saves budget and shapes strategy, and it’s the conversation we have at the start of every engagement at Kast.

Performance figures reflect metrics reported by impact.com in its published case study (April 2026). These figures have not been independently corroborated by Gusto directly. No budget, CAC, or pipeline data is publicly available for this campaign. Company-level growth figures are excluded as they reflect Gusto’s whole business, not the creator program. Other patterns reflect a blend of Kast’s internal partnership data through Q1 2026 and publicly available industry benchmarks for the same period.