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“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.

How most influencer campaigns are priced

In a standard agency-run campaign, pricing works like this:
1

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.
2

The brand agrees to the fee

The brand approves the creator and pays the agreed amount — usually upfront or split across a milestone.
3

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.
4

The brand receives a report

Post-campaign, the brand receives impression and engagement data — often from screenshots the creator provides. The brand has no independent way to verify these numbers.
The brand carries the full delivery risk. If the creator underperforms, the budget is gone. There is no recourse, no refund, and no mechanism to recover unspent value.

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.
On anchors, the creator is paid based on verified impressions from their post — synced directly from LinkedIn. The brand sees an estimated reach before paying anything. The final payment reflects what was actually delivered. This changes three things: 1. The brand’s budget exposure is defined upfront Before a campaign is confirmed, the brand sees estimated reach, estimated impressions, and expected cost per creator. There are no surprises after the campaign runs. The estimate is based on the creator’s real impression history — not a projection from their follower count. 2. The creator has a direct incentive to perform When a creator’s payout is tied to impressions delivered, they have a financial reason to take the brief seriously, post at the right time, optimise the content format, and engage their audience in the first hour. This changes how seriously they approach the work. In anchors’ real estate campaign, one creator reached out to the brand before posting to propose a different content angle — one they believed would outperform the original brief. That kind of proactive investment only happens when the creator’s outcome is connected to the brand’s outcome. 3. Underperformance does not waste budget If a creator delivers fewer impressions than estimated, the brand pays for what was delivered — not what was projected. Unspent budget does not disappear. It is returned or rolled into the next campaign.

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:
OutcomeFixed-fee modelPerformance-based model
Impressions delivered28,00028,000
Budget paidFull amount (42K target)Only for 28K delivered
Unspent budgetLostReturned / rolled forward
Campaign 2New budget requiredFunded by unspent balance
The brand paid only for what was delivered. The unspent budget from creators who underdelivered funded a second campaign without additional spend. One campaign became two.

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:
  1. The estimated reach shown to brands before a campaign is based on real delivery history — not follower-count projections
  2. 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:
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.
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.
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.

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.