Creator Discoverability Gap: Why Tier-2/3 Creators Still Can’t Get Paid What They’re Worth

Scroll through the creator dashboards of any mid-sized Indian brand today and a strange pattern emerges. The influencers with the biggest followings are not always the ones driving the sales. Often, it is a home baker in Nagpur with 40,000 followers, or a Kannada-language finance explainer in Hubli with 60,000, who quietly delivers the conversion rate a metro-based lifestyle creator with half a million followers cannot. Brands know this. Data teams have known it for at least two years. And yet, when the invoice arrives, the Nagpur baker is still paid a fraction of what the metro creator commands for the same deliverable. This is the discoverability gap, and it is one of the more stubborn inefficiencies left in Indian digital advertising.

The term “tier-2/3 creators” has become industry shorthand, but it undersells the scale of what it actually describes. It is not a niche segment. It is, by most estimates, the majority of India’s creator economy by headcount — a sprawling, linguistically diverse, geographically dispersed base of creators who have built genuine, high-trust micro-communities in categories ranging from regional cooking and agri-tech to vernacular personal finance. Their engagement rates frequently outperform tier-1 benchmarks. Their audiences are less algorithmically fatigued, less saturated with brand messaging, and more likely to act on a recommendation because it comes from someone who feels, correctly, like a neighbour rather than a celebrity. On paper, this should be a marketer’s dream inventory. In practice, it remains one of the most underpriced assets in the media economy.

The gap is not talent. It is visibility infrastructure.

To understand why this mismatch persists, it helps to separate two things that are often conflated: creator quality and creator discoverability. Quality is about output — content craft, audience trust, category authority. Discoverability is about whether a brand’s media planning system ever surfaces that creator in the first place. And it is here, in the plumbing of how creators get found, briefed and booked, that the real bottleneck sits.

Most influencer marketing today still runs through a small number of aggregator platforms and agency shortlists, both of which are optimised for speed and safety rather than depth. A brand manager with a campaign deadline of ten days does not have the bandwidth to manually vet three hundred regional creators across seven languages. They search a platform, filter by follower count and engagement rate, and pick from whatever surfaces on the first two pages of results. Follower count remains the default sort order on most tools, not because it is the best proxy for value, but because it is the easiest one to compute and defend internally. A media planner who books a well-known name can point to the number if the campaign underperforms. A media planner who bets on an unknown tier-3 creator carries the risk alone, even if the underlying data says the bet was sound.

This is the crux of the problem. Discoverability isn’t broken because the tools can’t find these creators — increasingly, they can. It is broken because the systems around discovery still reward visibility over value, and nobody in the chain is incentivised to change that calculus unilaterally.

Three layers of friction

Peel back the discoverability gap and it separates into three distinct, compounding frictions, each of which would be solvable in isolation but which together create a wall that most tier-2/3 creators simply cannot climb without external help.

The first is data asymmetry. Large agencies and platforms sit on proprietary performance data — which creators actually drive click-throughs, which convert, which retain audiences post-campaign. This data rarely gets shared back into the open market. A tier-2 creator who delivered an exceptional conversion rate for one brand has no easy way to carry that proof into their next negotiation, because the brand owns the analytics and the creator owns only the anecdote. Compare this to a performance marketing channel like search or programmatic display, where ROAS is transparent, benchmarked and instantly comparable across campaigns. Creator marketing, especially outside the top tier, still runs largely on trust and vibes rather than portable, creator-owned performance records.

The second is language and platform fragmentation. India’s most valuable regional creators often build their strongest communities on platforms or in formats that mainstream ad-tech simply isn’t built to measure well — WhatsApp broadcast lists, regional YouTube in Bhojpuri or Marathi, Telugu-language Instagram Reels that never trend nationally but convert furiously within a 50-kilometre radius. Discovery tools built around English-language keyword tagging and pan-India trending metrics structurally miss this inventory, not because it lacks value, but because it doesn’t speak the platform’s native language of discoverability.

The third, and most persistent, is the agency risk-aversion loop. Media agencies are measured on campaign delivery against tight timelines, and tier-2/3 sourcing takes longer — more due diligence, more manual negotiation, often more languages to navigate internally. So agencies default to repeat rosters: the same 200 to 300 creators booked again and again across client briefs, because they are known quantities. Every cycle this happens, the gap between the “discoverable” tier and the “undiscoverable but arguably better” tier widens a little further, because the discoverable tier accumulates more case studies, more polish, more negotiating leverage, while the undiscoverable tier stays exactly where it started.

What “getting paid what you’re worth” actually requires

It is worth being precise about what closing this gap would actually mean, because “fair pay for creators” is often treated as a moral aspiration rather than a solvable market design problem. Fair pricing requires three things functioning simultaneously: a shared, trusted measurement standard that travels with the creator across brands; a discovery layer that surfaces creators by demonstrated value rather than by raw audience size; and a commercial process efficient enough that agencies aren’t structurally punished for the extra effort of sourcing outside their comfort roster.

Some of this is beginning to happen, unevenly. AI-assisted creator discovery tools are getting better at parsing regional-language content, at estimating true audience overlap rather than relying on inflated follower counts, and at building comparative benchmarks across categories rather than treating every creator as a bespoke negotiation. A handful of platforms have started issuing creators portable performance scorecards — essentially a credit history for brand collaborations — that can be shown to a new client without requiring that client’s own agency to have run the original campaign. These are early moves, and they remain concentrated among a small set of ad-tech vendors rather than being industry standard, but they point toward the shape of a fix: make value legible, and pricing tends to follow.

What is less encouraged, so far, is structural change on the buy side. Brand marketing budgets still tend to be allocated with an implicit two-tier mental model — a “hero” bucket for a handful of high-visibility names that photograph well in a boardroom deck, and a residual bucket for everyone else, priced accordingly. Until performance data becomes central enough to marketing sign-off processes that a tier-3 creator’s proven 4x return can outweigh a tier-1 creator’s reach in a budget conversation, the pricing gap will persist regardless of how good the discovery tooling becomes. Tooling can surface the opportunity. It cannot, by itself, force an internal budget committee to act on it.

The commercial case brands are leaving on the table

There is a version of this story that frames the discoverability gap purely as an equity issue — creators deserve better, full stop. That framing is true, but it undersells the argument to brands, who respond more reliably to opportunity cost than to fairness. The commercial case is arguably stronger than the moral one. Tier-2/3 creator inventory is, by most available evidence, underpriced relative to its performance. That is precisely the kind of market inefficiency that disciplined marketers are supposed to exploit before it corrects itself.

Brands that build the internal muscle to source and measure this layer early gain two compounding advantages. The first is straightforward arbitrage — better performance per rupee spent, for as long as the inefficiency lasts. The second is stickier and more strategic: first-mover relationships with creators who are, by definition, on a growth trajectory. A creator with 60,000 highly engaged regional followers today may be the next breakout name in that category within two years. Brands that built trust with them before that breakout — rather than bidding for their attention afterward, at tier-1 rates, alongside every other advertiser who suddenly noticed — capture loyalty that money alone cannot buy later.

This is, in effect, the same logic that governed early programmatic media buying, or early performance marketing on emerging platforms: the advertisers who moved before the infrastructure was fully mature captured disproportionate value precisely because the infrastructure was still catching up to reality. The discoverability gap in creator marketing is, functionally, an infrastructure lag. It will close. The only open question is which brands, agencies and platforms position themselves to benefit from closing it, and which ones keep defaulting to the same familiar two hundred names because that felt like the safer bet.

For India’s tier-2/3 creators, the wait is not entirely passive either. Building a portable performance record, actively pushing brands for post-campaign data, and being deliberate about which categories and audiences to lean into are all within a creator’s control, even without waiting for the industry’s discovery infrastructure to catch up. The gap will close fastest not when platforms build better filters, but when enough of the market — brands, agencies and creators alike — decides that reach was always the wrong proxy for value, and starts pricing accordingly.