FAQ
Frequently asked questions
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
Doesn't auto-generated review responses sound robotic? Customers can tell.
They can tell when the response is boilerplate ('Thank you for your feedback! We value your input!'). They can't tell when the response is specific ('You're right that the CSV export was missing custom fields — we shipped that in v2.4 last week. The workflow is: Settings > Export > Custom Fields. Let me know if you hit any issues.'). Tycoon's default is the specific-response style, drawing on your docs + product state + customer history. After 30 days of your approval patterns, the drafts match your voice well enough that customers regularly think they're from the founder.
Some reviews are obviously fake or from disgruntled ex-customers trying to damage us. How is that handled?
Fake review detection: new account, no verified purchase, vague body, matches known fake-review patterns (generic 5-star templates, competitive review farms). Flagged for platform dispute (G2 and most platforms have fraud reporting). For disgruntled-but-real: respond truthfully with facts, don't escalate emotion. Sometimes the best response is a short, polite acknowledgment that invites offline conversation — don't litigate publicly. For egregious cases (defamation, TOS violation), escalate to legal. AI CMO flags all three categories; you decide the path.
How do review responses actually affect conversion for review-site visitors?
Research consistently shows: 1) Response rate above 80% lifts perceived trustworthiness (buyers skim recent reviews + responses). 2) Responses to 1-2 star reviews specifically drive conversion harder than positive responses (because they demonstrate how you handle problems). 3) Generic responses are nearly as bad as no response — the specificity matters. Tycoon optimizes for 100% response rate + specific language, which typically lifts review-page conversion 15-30% measured via post-review signup attribution. Most of the gain comes from the negative-review responses being thoughtful instead of defensive.
What about review sites we can't or don't want to be on (Reddit, Hacker News, Product Hunt comments)?
Tycoon handles these via /workflows/brand-monitoring, not this workflow. The distinction: review sites (G2, Capterra, etc.) expect formal responses from the company; social platforms (Reddit, HN) penalize corporate-sounding engagement. For social, the strategy is 'founder shows up, sometimes, with real voice' rather than 'company responds to every mention'. AI CMO provides you with the digest + suggested response but you decide whether + how to engage personally.
We're just starting — we have 3 reviews. Is this workflow premature?
The response part yes (3 reviews doesn't need automation). The acquisition part no — the hardest part at 3 reviews is getting to 30 reviews, and the sequence workflow helps. For the first year, use the review acquisition sequence aggressively, track which customers convert to reviewers, and ask for reviews at the right moment in the customer lifecycle (after a successful milestone, not after a support ticket). As volume grows (>15 reviews/month), the full workflow becomes valuable.