Sonicbeam: How a U.S.-Based Agency Uses AhaCreator to Scale Influencer Marketing for DTC Brands
Sonicbeam: How a U.S.-Based Agency Uses AhaCreator to Scale Influencer Marketing for DTC Brands
01|Meet Sonicbeam
Sonicbeam is a U.S.-based marketing services company headquartered in Delaware, operating under the PConline US group. The agency specializes in helping DTC brands build authentic presence in the North American market through localized influencer marketing. Their client portfolio spans consumer electronics, kitchen appliances (including Fresko and Bonsenkitchen), coffee machines, VR accessories, and more — ranging from cold-start launches to brands generating eight figures in annual revenue.
02|Scaling Influencer Marketing for DTC Brands Is Harder Than It Looks
Bill Zhou, who leads Sonicbeam, brings experience in e-commerce and brand marketing across both the U.S. and international markets. His take on where most DTC brands stand with influencer marketing is straightforward: "A lot of brands still treat influencer marketing as a sales channel — find creators, run affiliate deals, track commissions. That's fundamentally a distribution play. There's a big gap between that and building real brand equity."
Working across multiple product categories and brand stages, Bill has identified three core challenges that DTC brands face when scaling influencer marketing in North America.
1. The first challenge is precision
North America is one of the most culturally diverse markets in the world. A single neighborhood can have dozens of different communities, languages, and cultural backgrounds. This means the playbook that works in more homogeneous markets — a couple of celebrity endorsements and a unified campaign — simply doesn't translate.
Take a kitchen appliance like Fresko's vacuum sealer ($60–150 price range) as an example. Bill's team runs four types of creators simultaneously: trust-builders for brand credibility, impulse-drivers for immediate purchase, content-producers for high-quality reusable assets, and lifestyle creators who place the product in different contexts — from meal prep to outdoor camping — to reach audiences the brand wouldn't otherwise access. Each type serves a different purpose, and all four need to run in parallel.
2. The second challenge is measurement
"Only looking at sales is the lazy way to measure influencer marketing," Bill says. "It's just arithmetic." He's quick to add that this isn't the brand's fault — when tools and data are lacking, sales is the easiest metric to track. But if that's all you're looking at, you're missing the real value.
In his framework, creator partnerships deliver value across at least five dimensions beyond direct conversion: engagement rate, video performance relative to the creator's own baseline, landing page clicks and branded search activity, diversity of creator coverage, and the licensing value of content that can be repurposed for paid ads, Amazon listings, or DTC storefronts.
These five dimensions together form the "hidden assets" of influencer marketing. The reason so many brands feel they can't calculate influencer ROI is that they're only doing arithmetic — while ignoring value that doesn't show up on an order report.
Influencer marketing isn't a spreadsheet. It's a full balance sheet.
3. The third challenge is scale
Working with top-tier creators hasn't changed much in six or seven years — it's still about relationships, negotiations, and deep partnerships. That part of the business remains human-driven. But the logic for mid-tier and long-tail creators has completely changed.
Short-form video has created an explosion of niche creators with a few thousand to tens of thousands of followers. They reach precise audiences and produce authentic content — exactly what brands need for scaled seeding. The problem is that no human team can cover them all.
"Even working twelve hours a day, you just can't reach that many creators manually," Bill says.
Precision, measurement, and scale — these three challenges stacked together are exactly why Sonicbeam brought in AhaCreator.
03| Running a Fresko Campaign on AhaCreator
One of Sonicbeam's clients is Fresko, a kitchen appliance brand known for its automated vacuum sealers. Here's a look at how the team used AhaCreator to run an influencer campaign for Fresko — and what the process actually looks like on the platform.
1. AI finds creator matches you wouldn't think of
Before AhaCreator, Sonicbeam sourced creators mainly through email outreach, community groups, and talent agency referrals — all constrained by human bandwidth. On the platform, once the brand sets up a campaign with product details, target platforms, and content requirements, AhaCreator's AI automatically matches candidates from a global pool of over 5 million creators.
What matters is how the matching works. The AI doesn't just filter by follower count. It evaluates each creator across multiple dimensions — audience-brand fit, historical performance, brand safety, content quality, delivery track record, and engagement patterns — then generates a composite score with a human-readable recommendation.
For example, one creator focused on fishing and outdoor cooking along the California coast wouldn't typically be associated with a vacuum sealer. But the AI recognized that his content themes — catching, processing, and preserving food — aligned closely with the product's core use case, and gave him a high match score. Bill says this is one of the platform's most valuable features: "Creators we never would have picked before turned out to perform really well."
This directly supports what Bill emphasizes about creator diversity — reaching different communities and content niches requires a matching capability that goes beyond manual experience.
2. Brands only need to step in at key decision points
Once matched creators enter the pipeline, the entire collaboration workflow is broken into clear stages — from AI-curated shortlist, to pricing, negotiation, content production, and publishing. Each creator's status and match score is visible at a glance.
Brands only need to make two decisions: approve the creator list and approve the content. Everything else — outreach, invitations, price negotiation, follow-ups, asset collection — is handled by AhaCreator's AI Agent, running 24/7.
In the traditional workflow, teams spend hours every day chasing emails, tracking delivery status, and updating spreadsheets for each creator. With AhaCreator handling execution, the team can focus on strategy and creative direction instead.
3. Every collaboration generates data — so optimization is real
After a campaign wraps, performance data for every creator collaboration is stored on the platform — cost, published link, views, clicks, and other key metrics. Brands can see exactly which creators performed, which content formats worked, and where budget was most effective.
This solves a problem Bill comes back to repeatedly: "If you can't review what worked and what didn't, the whole thing isn't sustainable." With data accumulating on the platform, each campaign informs the next — creator selection, content direction, and budget allocation all improve over time instead of resetting to zero. The platform's creator analytics dashboard also makes Bill's "five measurement dimensions" actionable — engagement rate, video performance benchmarks, and coverage diversity are all trackable and comparable directly on the platform.
04|Results: Same Budget, 3x the Output
Bill offers a clear efficiency comparison: "We used to spend $200 on one creator collaboration. Now with AhaCreator, that same $200 gets us three — and the output quality is as good or better."
This isn't just about lower costs. A larger pool means more diverse creator types, distributed risk, and a higher probability of discovering standout performers. Instead of betting on a single creator, brands can spread across more touchpoints and reduce the impact of any one underperforming partnership.
Administrative efficiency has also improved significantly. Contracts, payments, and invoicing — all time-consuming in the traditional model — are streamlined through AhaCreator's standardized workflows and managed payment system.
05| An Agency Operator's Advice for DTC Brands
Beyond the Fresko campaign, Bill shared several observations from working with DTC brands at different stages — practical takeaways for any brand running or considering influencer marketing.
1. Audit where you actually stand
Bill evaluates a brand's real market position by looking at three things: whether there's meaningful organic search volume for the brand name, whether there's a baseline of creator and media endorsements, and whether social media channels have stable organic reach. Many brands are further along in sales than they are in brand equity — and recognizing that gap is the first step to choosing the right influencer strategy.
2. Clarify your objective before choosing creators
When marketing teams wear too many hats — sales, brand, BD — it's easy to end up with misaligned campaigns. A brand optimizing for conversions shouldn't be working with creators best suited for awareness, and vice versa. Before each campaign, the first question should be: "What exactly are we trying to achieve this round?"
3. Look beyond sales metrics
The real value of influencer marketing goes well past direct conversions. Can the content be licensed for paid ads? How many distinct audience segments did the campaign reach? Did branded search volume increase? These "hidden assets" are what separate influencer marketing from pure performance advertising.
4. Invest in the right tools, not just more people
Many teams default to adding headcount when they need to scale. But more people and more hours don't solve for expertise or methodology gaps. The right tools and partners often deliver more leverage than additional execution bandwidth.
06| Agency + Platform: 1 + 1 > 2
Bill makes an observation that resonates across the industry: different parts of the influencer marketing workflow require different capabilities. Top-tier creator relationships still depend on human depth — personal communication, long-term partnership development, and strategic judgment. Meanwhile, mid-tier and long-tail creator outreach, workflow standardization, and unified data tracking are where platforms excel.
When the two work together, brands get more complete coverage — the depth of high-touch partnerships and the breadth of scaled, AI-powered discovery and execution.
For brands, this means more flexibility. You don't have to choose between building an in-house team and outsourcing to an agency. A more practical model is emerging: use AhaCreator to handle scaled creator outreach and execution, while your agency or internal team focuses on top-tier relationships and strategy. For early-stage brands with limited budgets, even a single person plus an AI platform can get the fundamentals of influencer marketing up and running.