“Performance-based” is one of the most misused phrases in influencer marketing. Most platforms and agencies use it to mean a bonus paid if results exceed a target — but the base fee is still fixed, agreed upfront, and paid regardless of what the campaign actually delivers. That is not performance-based. That is fixed pricing with a success bonus. This page explains what performance-based influencer marketing actually means, why it produces different outcomes for brands, and how it works in practice on anchors.Documentation Index
Fetch the complete documentation index at: https://anchors.in/docs/llms.txt
Use this file to discover all available pages before exploring further.
How most influencer campaigns are priced
In a standard agency-run campaign, pricing works like this:The agency proposes a creator
The agency recommends a creator based on their roster. The creator’s fee is fixed — a number the agency has negotiated (or marked up) before presenting it to the brand.
The brand agrees to the fee
The brand approves the creator and pays the agreed amount — usually upfront or split across a milestone.
The creator posts
The creator publishes on the agreed date. Whether the post delivers 5,000 impressions or 5,00,000 impressions, the creator has been paid the same amount.
What performance-based actually means
Performance-based influencer marketing means the creator is paid based on what they actually delivered — not what they promised to deliver.Fixed pricing
Creator agrees to post for ₹X. Brand pays ₹X regardless of impressions, engagement, or any measurable outcome. Budget risk sits entirely with the brand.
Performance-based pricing
Creator is paid based on verified impressions delivered. If the post delivers more, the creator earns more. If it delivers less, the brand pays less. Budget risk is shared.
What this looks like in practice
The EdTech case
An early-stage edtech startup ran a campaign through anchors with a lean budget and zero tolerance for overspend. The target was approximately 42,000 impressions across 8 creators. The campaign delivered approximately 28,000 impressions — below the target. In a fixed-fee model, this would mean the brand paid for 42,000 impressions and received 28,000. The shortfall would be a loss. Under performance-based pricing on anchors:| Outcome | Fixed-fee model | Performance-based model |
|---|---|---|
| Impressions delivered | 28,000 | 28,000 |
| Budget paid | Full amount (42K target) | Only for 28K delivered |
| Unspent budget | Lost | Returned / rolled forward |
| Campaign 2 | New budget required | Funded by unspent balance |
The CARS24 case
CARS24 came to anchors having experienced fixed-fee influencer campaigns where impression counts came from screenshots with no way to verify. Their specific ask was verified data and access to nano and micro creators. The campaign ran on performance-based pricing with all impressions synced directly from LinkedIn. Result: ₹55 CPM — against a LinkedIn Ads benchmark of ₹200 to ₹700 for the same audience.The ₹55 CPM is a specific result from the CARS24 campaign — not a guaranteed outcome for all campaigns. CPM on anchors varies between ₹200 and ₹800 depending on audience type, business type, creator tier, and campaign period. The CARS24 number reflects what performance-based pricing on verified data can deliver when creator selection is right.
Why verified delivery data is the foundation
Performance-based pricing only works when delivery data is independently verified. If the brand relies on what the creator reports, the “performance” measurement is still based on self-reported numbers — which means the model has the same reliability problem as fixed-fee campaigns. On anchors, impression data comes from a direct sync with LinkedIn. Creators onboard by connecting their LinkedIn accounts. anchors reads their real performance data — past posts, actual impressions, audience demographics — directly from LinkedIn. No screenshots. No self-reporting. This matters for two reasons:- The estimated reach shown to brands before a campaign is based on real delivery history — not follower-count projections
- The post-campaign payment calculation is based on verified impressions from LinkedIn — not a number the creator provides after the fact
What the brand gives up with performance-based pricing
Performance-based pricing is not a free lunch. There are real tradeoffs:Less certainty on exact reach
Less certainty on exact reach
Because payment scales with delivery, the brand cannot know the exact final cost before the campaign runs. They know the estimate and the range — but the final number moves with performance. For brands that need exact budget certainty, this requires a different kind of financial planning.
Requires verified data infrastructure
Requires verified data infrastructure
Performance-based pricing only functions when impressions are independently verifiable. Without a direct LinkedIn data sync, there is no reliable basis for payment calculation. This is why performance-based pricing is difficult to replicate outside a platform built specifically for it.
Creator pool is limited to verified creators
Creator pool is limited to verified creators
anchors’ performance-based model requires creators to connect their LinkedIn accounts and consent to data sharing. Creators who have not onboarded cannot participate. This means the creator pool is smaller than a broad market approach — but every creator in it has verified, real performance data.
How anchors describes performance-based
anchors’ internal framing: “It works like Meta Ads — you set the parameters, the system runs the campaign.” The brand provides three things: domain, product details, and budget. The algorithm handles creator selection, brief generation, pricing, matching, and campaign activation. The brand reviews and confirms — they do not manage. The 98% automation figure reflects this: the platform handles the full campaign workflow. The 2% manual intervention exists for quality checks — not for core operations.Related pages
How AI Creator Matching Works
How anchors selects creators based on verified data — the foundation of the performance-based model.
LinkedIn Engagement Rate Benchmarks
What delivery benchmarks to expect by creator tier.
Reach vs Engagement
Which delivery metric to optimise for based on your campaign goal.
How to Evaluate a LinkedIn Creator
What to check before confirming any creator — including impression verification.
