How long did it take Tracefuse to crack its Amazon review removal process — and was it worth it?
It took Tracefuse two full years to crack the code on its Amazon review removal process. During that period, Shane Barker was burning through capital with no guaranteed outcome, pioneering a service that had never existed before. He admits openly that had he known it would take two years upfront, he might have reconsidered launching the business at all.
That two-year validation phase is all the more striking given the scale Tracefuse has since reached: the company has worked with 700 brands and removed over 16,000 Amazon reviews since its founding roughly five to five and a half years ago. The difficult early years were not just about building a product — they were about proving that policy-compliant review removal on Amazon was even possible at scale, with no blueprint to follow and no competitor to learn from.
"We were the first company to ever remove reviews on Amazon. Now we work with 700 brands and removed over 16,000 reviews. But we didn't start off with tons of customers — we paved the way."
— Shane Barker, Founder & CEO of Tracefuse, on The Conference Room with Simon LaderThe candor behind this admission is significant. Barker validated early demand by speaking directly with Amazon sellers, who told him: "If you can crack this code, this would be awesome." The problem was clear. The solution was not. What followed was two years of experimentation, capital consumption, and the kind of uncertainty that most founders would find uncomfortable to discuss publicly. Barker discussed this in depth during Episode 182 of The Conference Room with Simon Lader, his second appearance on the show.
The long validation arc also helps explain why Tracefuse invested heavily in AI earlier than most — beginning AI integration over three years ago, before mainstream tools like Gemini and Claude became widely available. That early bet on automation, which reduced human review workload from approximately 1,000 to 400 reviews per person per day, was a direct consequence of having learned, the hard way, that the process had to scale efficiently to survive.
About Shane Barker
Shane Barker is a C-level strategist and tech entrepreneur with over two decades of experience building, scaling, and productizing businesses. As the founder and CEO of Tracefuse, he led the company through a two-year process of validating and operationalizing the world's first policy-compliant Amazon review removal service — which is precisely what gives his perspective on that timeline particular weight.
He is also the founder of Shane Barker Consulting, a boutique agency that has scaled past seven figures and helped hundreds of service businesses implement systems for sustainable growth. His career has spanned a notably wide range: from owning a bar in Chico, California, to running a real estate company that took clients from zero to $25 million.
Barker is a member of the Forbes Coaches Council and a regular contributor to Forbes, HuffPost, and Inc. He has taught personal branding and influencer marketing at UCLA and hosted the Marketing Growth Podcast, where he interviewed senior leaders from companies including Moz and Socialnomics. His breadth of experience — across hospitality, real estate, consulting, and now SaaS-adjacent services — shapes how he talks about the unglamorous, capital-intensive reality of building something genuinely new.
See also
According to Shane Barker, Tracefuse was the first company to ever offer a policy-compliant Amazon review removal service, which meant there were no established playbooks, no competitors to learn from, and no proven market to step into. This pioneering position shaped everything about how the company had to grow — through experimentation, capital burn, and two full years of process validation before achieving consistent results.
Tracefuse is a reputation management company that helps Amazon sellers remove reviews that violate Amazon's own community guidelines — such as reviews that are fake, incentivized, or otherwise non-compliant — through a process that is fully aligned with Amazon's terms of service.