Mention Me is a name that sounds like it belongs in the influencer world—because it does, just not in the way most influencer platforms start.
Most influencer marketing software begins life as a social-native system: scrape social profiles, score creators, run outreach, manage deliverables. Mention Me’s DNA is different. Its core business is advocacy—finding the customers who already love you, then turning that existing enthusiasm into measurable growth. That worldview matters, because it changes how the influencer product is built: less “hunt for creators,” more “surface the people already inclined to create—and track what happens next.”
That’s the throughline behind Mention Me’s micro-influencer platform. It’s positioned as an AI-first, end-to-end system for micro-influencers and ambassadors, with discovery that leans on first-party signals, and performance tracking designed for today’s attribution constraints. It aims to remove the two things that usually kill micro-influencer programs:
- the sourcing grind (scrolling, guessing, repeating) and
- the operational sprawl (spreadsheets, disconnected tools, endless inbound emails).
If you’re reading this as part of a “best influencer platforms” evaluation, here’s the cleanest way to frame Mention Me:
It’s not trying to win the “largest creator database” arms race. It’s trying to win the “highest-likelihood creators + measurable outcomes” game—especially for brands who want micro-influencers to behave like a repeatable growth channel, not a vibe.
Pricing
Mention Me makes an unusually smart move here: it offers a free on-ramp, then upgrades into an end-to-end plan.
Starter (Free)
Designed to let you “test the sourcing muscle” without committing:
- Up to 5 searches and view up to 75 social profiles
- View insights for up to 15 profiles
- Discovery includes small samples of brand fans, paid influencers, and influencers engaging with competitors
Advanced (Talk to Sales)
This is the real product—the version built to run a program, not just find people:
- Influencer searches with advanced AI vetting
- Access to brand, competitor, and customer-base discovery
- Larger-scale lookalike discovery limits
- Manage multiple collaborations and track influencer content
- Built-in support for payments and end-to-end influencer management
The Details
Most influencer tools are built around a pretty rigid assumption: discovery happens out there (somewhere in the endless public ocean of creators), then the “real work” begins in a separate system—briefs in email, approvals in Slack, tracking in yet another dashboard, payouts in a spreadsheet you don’t want to admit still exists.
Mention Me Influencer is built around a different assumption: the best micro-influencers are often already in here—inside your customer base, inside your referral graph, inside the people who already spend, advocate, and bring in other buyers. The platform’s core advantage isn’t that it can surface creators (lots of tools do that). It’s that it’s designed to turn first-party advocacy data into an operating system for micro-influencer programs—one where finding, qualifying, collaborating, tracking, and paying can sit in a single workflow instead of being stitched together by willpower.
Finding creators without “scroll labor”
Discovery in Mention Me starts with a pragmatic question: who is already behaving like a believable advocate? That’s why the product leans on first-party referral and customer signals, paired with AI vetting, to surface “brand fans” in your existing base, alongside net-new micro-influencers who aren’t customers yet. It also explicitly supports a third lane that many platforms treat as an afterthought: creators engaging with competitors. That matters because “competitor engagement” is often the cleanest proxy for intent you can get without guessing—someone is already paying attention to the category, already posting, already shaping opinions.
The free Starter tier shows you exactly how the system thinks: limited searches, limited profile access, and three small curated sets—brand fans, paid influencers, and competitor engagers—so you can see the mix before you commit. The limits are tight (by design), but they’re concrete: up to five searches, up to 75 profiles viewed, and insights for up to 15 profiles, with a starter sample across those three buckets. In practice, it’s less “here’s the whole world” and more “here’s how we’d start building your bench.”
Where the product gets more interesting is what happens after the first batch. Mention Me isn’t trying to make you fall in love with one creator at a time. It’s trying to make you operationally comfortable with sets: once you have a proven pattern—an archetype that works for your brand—you can expand it via lookalike discovery, with higher limits and AI vetting in the Advanced tier. The point isn’t just to find “similar creators,” but to reduce the time you spend re-learning what “brand fit” means every time you launch a new campaign.
Vetting that’s tied to outcomes, not just optics
A lot of platforms treat vetting like a filter checklist: follower range, engagement rate, audience demographics, maybe a fraud score, then you’re done. Mention Me’s positioning is more outcomes-anchored. It keeps pulling you back toward the signals that matter when you’re trying to scale micro-influencers: is this person likely to produce content that converts, and can you measure it cleanly without relying on fragile tracking? That’s why the platform emphasizes AI-assisted vetting and “brand-fit” discovery rather than promising a universe of creators with perfect dashboards.
In the Advanced tier, discovery isn’t a one-time action; it’s the top of a loop. You find candidates, you validate performance, you turn the winners into repeat partners, and then you generate lookalikes based on what’s actually working. Over time, you end up with a living creator bench that behaves less like a list and more like a channel—something you can run always-on without restarting the machine every quarter.
Onboarding and approvals: the unglamorous work Mention Me actually tries to own
If you’ve ever tried to scale micro-influencers, you already know the truth: the hard part isn’t paying creators. The hard part is the inbound chaos—applications, eligibility questions, “can I do TikTok instead,” “where do I send the draft,” “did you get my message,” “what are the guidelines,” “when do I get paid,” multiplied by dozens or hundreds.
Mention Me takes a very deliberate swing at that operational mess. The platform calls out approvals, content reviews, comms, and payments as first-class components of the same dashboard—meaning the system is designed to replace the sprawling toolchain that normally builds up around influencer work. One quote from a brand using the product points directly at the pain it’s trying to remove: registration forms and review/approval workflows that reduce inbound email volume and save meaningful hours each month. You don’t need the quote to believe the problem exists—you just need to have run one campaign with a popular product and a tiny team. The point is that Mention Me is clearly building around that reality rather than pretending it’s a “nice to have.”
On the creator side, the UX is positioned as intentionally simple: one dashboard where influencers can see rewards, content guidelines, and campaign updates. This matters more than it sounds like it should. Micro-influencers aren’t employees. They’re not going to learn your internal process. If your program is confusing, they’ll still post—but you’ll spend your time cleaning up disclosure issues, chasing missing deliverables, and answering the same questions forever. A creator dashboard doesn’t eliminate that work entirely, but it does give you a single place to “pin” the rules and the status of the partnership so you’re not re-explaining your brand every week.
Collaboration formats that match how micro-influencers are actually used
Mention Me frames its micro-influencer motion less like a celebrity sponsorship engine and more like a performance-anchored advocacy channel. In that framing, collaborations don’t have to be one rigid compensation style. The platform’s own product narrative explicitly supports commission-based, fixed-fee, and hybrid models—because different creators (and different categories) respond to different incentives, and because the same creator might be worth handling differently once they’ve proven performance.
That flexibility is also what makes the “brand fan” angle more than a discovery gimmick. Customer-creators are often motivated differently than professional influencers: they can be more consistent, more believable, and more willing to work with guidelines if the program feels respectful and rewarding. But they also need clarity—what they’re allowed to say, how they disclose, what they get in return, how they’ll be paid, and what “good performance” even means. The platform’s emphasis on content guidelines living inside the creator dashboard is a signal that it expects to manage those partnerships as a repeatable system, not a one-off favor.
Content capture, review, and the part everyone forgets: re-use rights
Micro-influencer programs quietly have two outputs:
- Sales (which everyone talks about), and
- Assets (which many teams fail to operationalize).
Mention Me is unusually explicit about that second output. The platform highlights the ability to collaborate on reusable, on-brand creator assets and track performance across creators’ channels—and then goes one step further by building in the idea of paying to repurpose top-performing content on your own channels. That’s a very specific stance, and it’s strategically smart: once you have proof that a piece of creator content converts, you don’t want it trapped inside one creator’s post history. You want it promoted, iterated, and distributed like any other performance asset—without entering a separate legal/ops maze every time you want to use it.
Operationally, this “content as an asset” mindset only works if the platform can actually keep track of what was posted, when it was posted, and whether it met the program requirements. Mention Me repeatedly positions “content tracking” and “content reviews” as built-in, and one customer story about the product points to automatic capture and storage of creator content (including formats that disappear, like Stories), alongside payments handled in the same system. That’s exactly the kind of feature that sounds minor until you’ve tried to do it at scale—and then it becomes the difference between a program you can grow and a program you abandon when your inbox hits critical mass.
Tracking that matches the way people buy now
If you strip away the hype, “influencer tracking” has a brutal problem: people don’t behave like attribution models want them to behave. They see a product in a Story, then they forget. Later they search the brand name. Later they ask a friend. Later they buy on desktop. Sometimes they use a code. Sometimes they don’t. Cookies get blocked. Links don’t get clicked. And the creator who made the sale ends up looking like they did nothing.
Mention Me’s tracking stance is straightforward: it explicitly rejects cookie-dependent measurement for influencer attribution and anchors reporting on customer emails and voucher codes, with performance metrics that map to actual business outcomes—revenue, referrals, and LTV. That choice has two implications.
First, it forces clarity about identity. If you’re tracking via customer emails, you’re operating on a deterministic identifier rather than a shaky browser artifact. The Help Centre materials around the broader platform make the philosophy explicit: the system primarily tracks journeys through tags/APIs and customer emails, while cookies are treated as support mechanisms (fraud prevention and consistent A/B testing experiences) rather than the backbone of measurement. That’s the kind of architecture that holds up better as browsers keep tightening privacy controls.
Second, it pushes programs toward incentives that are trackable without being gimmicky. Voucher codes aren’t glamorous, but they’re functional. In Mention Me’s environment, codes can be uploaded and managed directly, including single-use allocations tied to specific customers/advocates, and the system can attribute orders when those codes are redeemed. The platform also spells out that its attribution approach is first-click within its own model—meaning the earliest captured advocate touchpoint is credited, which aligns with how many referral programs are designed to reward the initiator of the relationship. The important point here isn’t whether you philosophically prefer first-click or last-click. It’s that the rules are explicit, and the system is designed so the tracking logic doesn’t collapse the moment cookies stop cooperating.
When you combine that with the product’s emphasis on LTV (not just conversions), you get a reporting posture that’s closer to “customer acquisition quality” than “content engagement.” That’s a meaningful market distinction. Most influencer dashboards can tell you who got likes. Fewer can tell you whether the customers driven by Creator A behave like long-term buyers, whether they refer others, and whether the program is compounding or just churning through creators. Mention Me is clearly trying to make that compounding visible and measurable, especially in the way it frames influencer as part of a wider advocacy loop that can feed referrals and vice versa.
Integrations and the plumbing that makes “end-to-end” believable
“End-to-end” is usually marketing language. It only becomes real when the product can either (a) live happily inside your existing martech stack, or (b) replace enough of it that you stop needing glue.
Mention Me leans toward option (a) while still trying to shrink the glue work. On the integration side, it highlights direct connectivity with common CRM and messaging tools (with examples including platforms like Klaviyo, Emarsys, Ometria, and Attentive), plus the ability to route events and data through APIs and webhooks. The point isn’t the vendor names; it’s the design: advocacy and influencer signals can be used to segment audiences, trigger messaging, and build paid targeting logic rather than sitting locked in a standalone influencer tool.
For teams that want a lighter engineering lift, the Help Centre documentation shows a GTM-based deployment approach for core tags, including a defined data layer schema (customer name, email, order totals, currency, locale) and tag scripts that are embedded via Custom HTML, then tested in preview mode before being pushed live. That’s relevant because it signals the platform is built to be implemented by marketers with structured support, not only by engineering teams with weeks to spare.
And for teams that do want deeper control, the developer documentation goes further: OAuth2 client-credentials authentication, bearer tokens with defined lifetimes, and webhooks designed to push events into external systems. Webhook security is handled via a shared secret that produces an HMAC-style signature header (X-MentionMe-Signature) so receiving systems can validate authenticity and detect tampering—exactly what you want if advocacy events are going to trigger customer-level actions in your own stack. There’s also an explicit mechanism for authenticated dashboard entry using a hashed token derived from the customer email plus a salt. That kind of detail is the difference between “we have an API” and “this can actually be integrated safely into production workflows.”
What Mention Me is really selling: scale without the agency overhead
Underneath all the feature language, Mention Me Influencer is making a clear bet about the market: brands don’t just want more creators; they want fewer operational bottlenecks. They want micro-influencer programs that behave like a repeatable acquisition channel rather than a chaotic creative side project. That’s why the platform keeps emphasizing centralized workflows (approvals → content review → comms → payouts), creator self-service, and deterministic measurement tied to revenue and LTV.
If you already have a referral program (or you’re willing to build one), this architecture becomes even more compelling because the outputs can compound: micro-influencers bring customers, those customers refer, and the referral graph becomes both a growth engine and a discovery engine. Mention Me doesn’t hide that ambition—it openly frames influencer as part of a “growth loop,” not a one-off campaign mechanic.
Conclusion
Mention Me’s influencer platform feels like it was built by a company that’s seen the future of creator marketing—and decided it looks a lot more like customer economics than social reporting.
The product is opinionated: micro-influencers should be easy to find, easy to manage, and impossible to hand-wave. Your program should not live in a spreadsheet. Tracking should not depend on cookies. And the best creators are often already in your orbit—you just haven’t had the system to surface them, activate them, and measure what they produce.
If your goal is to run influencer marketing like a growth channel—with operational discipline and measurable outcomes—Mention Me is one of the more interesting “Act II” platforms in the space: less creator marketplace, more scalable advocacy engine with influencer tooling built on top.