Influencer marketing has a pricing problem and a proof problem. Iconically, a startup founded in 2022 and based in the New York area, attacks both at once: it runs creator deals as auctions, shows both sides the rates that have been asked and paid before, and scores bidders on whether they actually sell. According to Net Influencer, co-founder and CEO Donald Doane argues the combination will make launching a creator program as easy and profitable as running a paid ad on Meta or Google.
That claim deserves a skeptical read, because it comes from the company selling the system. But the mechanics it describes are specific, and the failure cases Doane names are the ones most brand teams will recognize. The interesting part is not the auction. It is what the auction is wrapped around.
The founders behind it did not start with a platform. Iconically began as an agency, where Doane and co-founder Grant Warner — who previously built ConnectYard, a social engagement platform for education and an early user of student influencers — watched creators price blind. Influencers did not know what peers charged, or what to charge themselves. Their fix was to borrow pricing logic from other markets for one-off work. "Whenever you have an asset, especially a unique work product, the best way to value it is to let the market price it," Doane says.
What does open pricing actually change?
Open rates turn a negotiation into a benchmark. Creators bidding on a brief can see what other creators are asking and what the brand has paid before. The brand can see what other brands have paid each creator. Doane's argument is that 20 comparable brands paying roughly the same amount settles the "am I overpaying?" question better than any negotiation does.
Warner frames it from the other side. "You often hear, 'Where there's mystery, there's margin.' I think the converse is true in this case. Where there's clarity, there's confidence, and that applies to both sides," he says. The pricing data also moves with the calendar. "Your static rate card might have been great for June, but in November, you should probably be charging more," Doane says, pointing to Black Friday and Cyber Monday demand.
The company-claimed result: 92% of auction campaigns complete on time, which Doane credits to price agreement plus brand reviews that cut a creator's star rating for late or missed deliverables. That figure is the company's own, not an independent audit.
Why conversion data matters more than the auction
An auction alone invites a race to the bottom, and Warner rejects that reading. "When you hear auction, people think race to the bottom in some way. From our standpoint, what we're talking about is how do you optimize value," he says. The selection layer is what does the work. Brands pick winners against a KPI — awareness or sales — and Iconically scores each bidder on conversion in the brand's product category and at its price point. "One influencer might be great for the $20 product, but may not be a great fit for the $75 product," Doane says.
The data also cuts against follower count, the industry's default sorting key. Doane says some nano and micro influencers, per the company's records, drive as many conversions as macro creators — some of whom post content he calls "not great" but convert anyway because they have curated the right audience. Creators get projected sales before choosing a product, then click and sales goals after joining, which Doane says they use to rework calls to action.
Where the system still fails
The honest part of the pitch is its failure data. Doane says underperforming campaigns were largely ones where the brand passed over the recommended winners. "There are times when the brand will totally ignore the data," he says — brands that pick a creator because they like how a reel looks.
The second failure is the wrong ask. For Instagram, "stories by far convert a lot better," Doane says, because a viewer taps a link straight into shopping, while a reel sends a scrolling viewer through the profile, the link in bio, and a link tree. Reels also take longer to make, and "brands don't often understand that creators are trading their time for money." For a sales KPI, he argues, reels are the more expensive and less effective brief. We covered a connected angle in Second-Time Founders and Equity: Five Documented Mistakes.
Usage rights follow the same logic. Creators now charge more for paid or indefinite usage, with their name, image and likeness in mind as AI spreads. Doane's rule for boosting content: post organically first, then put paid spend behind what performs.
Who this fits, and who it does not
Iconically serves e-commerce brands, mostly Amazon sellers in fashion, beauty and home — the categories Doane says show its strongest conversions. B2B brands are a poor fit because the platform is built to drive sales. To reach more sellers, it partnered with PartnerBoost, which works with thousands of brands in those categories, leaving the cofounders to focus on what Warner calls "building intelligence around campaigns." For Amazon sellers specifically, Doane recommends a flat fee plus commission: "As a brand, you need creators that do this consistently for you, not once or twice."
What the evidence establishes: a pricing-and-selection model built from agency experience, aimed at performance-driven sellers, with company-claimed completion and conversion results. What remains unknown: independent verification of the 92% figure, the conversion data behind the nano-versus-macro claim, and whether open rates hold up as more brands and creators see the same history. The comparison to paid ads is a founder's framing. The mechanism — market-priced rates, conversion-weighted selection, and brands that must actually follow the data — is the testable part. Readers following this should also see How a SAFE Actually Converts at Your Priced Round, With the Math That Surprises Founders.
