Rey is an AI employee for creator marketing that works alongside a brand's team in Slack. It finds and vets creators, sends outreach, follows up until content ships, tracks which creators actually sold, and makes sure the people who earned money get paid. The product is currently in beta, so there is no public pricing page; brands apply for a beta slot instead.
The company behind the product is Trndsttrs, Inc. (DBA Rey), which describes the service as an AI employee supported by human experts.
What Rey does inside Slack
Rey's output shows up in Slack only. There is no separate dashboard to log into. The team works with it in the channel where campaign conversations already happen, and Rey posts updates, flags, and drafts there.
That design responds to a measurable bottleneck. Marketers spend an average of 16 hours a week communicating with influencers, needing 10 to 20 or more messages per creator per campaign, and 68% say communication bottlenecks damage creator relationships. Rey takes on the outreach and follow-up part of that load, while the team keeps the decisions.
Rey also works only from the Shops, data sources, notes, and workflows a team has approved. If information is incomplete, or an action falls outside the agreed responsibility, it stops and brings the decision back to the team rather than guessing.
The manual alternative remains common. A Northwestern survey of 209 executives found that 45% of brands still rely on manual processes like spreadsheets, emails, and DMs to run creator campaigns. Separately, 44% of marketers use Google spreadsheets to manage influencer partnerships, only 33% use a dedicated platform, and for 22% a full cycle from outreach to payment takes up to two months.
Rey's answer is a set of drafts and recommendations that arrive in Slack with an approval step attached, rather than a new platform to learn.
Weekly reporting and sample tracking
Every Monday at 9:00, Rey posts a weekly update in the team's Slack channel. It covers GMV, creator-driven orders, active creators, videos published, campaign movement, and the available ads picture. The sample update on the reporting page shows GMV of $48,320 (up 18%), 1,284 creator orders (up 24%), and three next actions ready for review.
Two details in that report stand out. When a data source does not report, Rey shows it as a gap rather than a zero. And the page is explicit that Rey replaces the assembly work, not the decisions: once a program has more than a handful of active creators, keeping the manual report current becomes its own job, and that is the job Rey takes.
This kind of lifecycle visibility is uncommon. Traackr reports that only 16% of marketers track churned creators, and 36% say the average creator contract is a single one-time post. Rey's tracking of who sold and who got paid is aimed at that gap.
The flip side is a narrow fit. Rey is scoped to brands with an already-active program at meaningful volume, works only from pre-approved data sources, never spends money or changes ad budgets on its own, and currently has no public dashboard or pricing because it is still invite-only beta software. That makes it a poor match for small or pre-volume creator programs, for non-Shopify ecommerce stacks, or for teams that want autonomous budget and spend control rather than human-approved recommendations.
The beta application takes about 2 minutes, with a reply promised within a week. The first cohort was slated to begin in November, and only a small number of brands are onboarded at a time, so slots are limited.
Because there is no published price, teams evaluating Rey against other options cannot do a line-item cost comparison yet. What they can compare is the control model described above: Slack-only output, approval before anything goes out, and no autonomous spend.
The practical next step is to fill out the beta application and, while waiting for a reply, list the Shops, data sources, and Creator Targets criteria the team would approve for Rey to work from, since that connected context defines what it can do.
