How we Score Influencer Marketing Platforms

Every platform receives a score from 0 to 100, calculated as the sum of four equally weighted dimensions.

Product Depth evaluates how comprehensive and capable the platform is. This is not a judgment on design or user experience. It is a structural assessment of what the platform does, how broadly it covers the influencer marketing workflow, and how deeply it integrates into a buyer's existing technology environment.

Product Depth is assessed across five areas. Each area contributes to the overall dimension score based on its breadth and depth relative to the platform's stated category and positioning.

We evaluate how many social networks the platform supports for creator discovery, campaign management, and analytics. Platforms that cover the core Western networks (Instagram, TikTok, YouTube, LinkedIn, X, Snapchat, Pinterest, Twitch) score well. Platforms that also support non-Western networks such as RED/Xiaohongshu, Weibo, and Douyin, giving brands genuine global reach, score higher. We also assess the depth of support per network: whether the platform offers discovery, analytics, campaign management, and commerce capabilities on each network, or whether coverage is superficial.

We assess how much of the influencer marketing workflow the platform handles end to end. The full lifecycle includes creator discovery, outreach and CRM, campaign management, content review and approval, analytics and reporting, and payments and invoicing. A platform that covers the full lifecycle in a single product is fundamentally different from a point solution that handles only one stage. Both have value, but lifecycle coverage is a meaningful differentiator for buyers evaluating whether a platform can replace multiple tools.

We evaluate whether the platform goes beyond campaign execution into strategic intelligence. This includes social listening, consumer intelligence, audience psychographics, competitive benchmarking, trend detection, and sentiment analysis. Platforms that function as both an execution layer and an intelligence layer score higher in this area than platforms that only report post-campaign metrics. We also assess brand safety screening and fraud detection capabilities, as these are increasingly critical to buyer confidence.

We evaluate how well the platform connects to existing technology stacks. This includes the number and breadth of native integrations across categories such as CRM, e-commerce, analytics, advertising, and project management. We assess whether the platform offers a public API with documentation, whether it supports marketplace connectors such as Zapier or Make, and whether webhooks are available for real-time data flows. A deeply integrated platform reduces switching cost for buyers and is a stronger long-term investment.

We evaluate whether the platform uses AI meaningfully. This means specific, named capabilities that a buyer can verify from the product: AI-powered creator matching, content performance prediction, automated reporting, audience analysis, brief generation, and budget optimisation. Platforms where AI is embedded across multiple product areas score higher than platforms where AI appears in marketing copy but is not reflected in verifiable product features. We do not score AI as a buzzword. We score it as a functional capability.

Customer Proof evaluates who uses the platform and what outcomes they achieved. This is the dimension that separates marketing claims from evidence.

We assess the calibre and diversity of named customers. A platform listing Fortune 500 brands across multiple industries demonstrates broader adoption than one listing a handful of startups in a single vertical. We look for published case studies with specific, quantitative results: time saved, throughput increases, ROI improvements, workflow consolidation. The number of case studies matters, but so does the depth and specificity of each one. A case study that says "improved efficiency" carries less weight than one that says "reduced creator sourcing time by 45% across 14 markets."

Client-verified case studies carry higher weight. When a platform submits a case study, they can request verification by sharing a unique link with the client named in the study. If the client confirms the campaign details and results through that link, the case study receives a 'Client Verified' badge and is weighted more heavily in this dimension. We verify results because the alternative, self-reported claims without accountability, is exactly what makes existing directories unreliable.

Industry Recognition evaluates external validation from sources the platform does not control.

We assess official platform partner status with Meta, TikTok, YouTube, Snap, Pinterest, and other major networks. We evaluate ratings and review volume on independent review sites such as G2, Capterra, and TrustRadius, where both the score and the number of reviews are taken into account. A high rating with a small review base carries less weight than a strong rating across hundreds of verified reviews. We also assess industry awards, coverage in analyst research from firms such as Forrester and Gartner, mentions in trade press, and speaking presence at major industry conferences.

Revenue & Growth evaluates business scale and stability. For a buyer choosing a platform, this dimension answers a critical question: will this company still exist and be investing in its product in two years?

We assess team size and headcount trajectory, years in market, total funding raised and the stage of the most recent round, office locations and geographic reach, and public signals of growth such as hiring activity, market expansion announcements, and acquisition activity. We also account for bootstrapped and profitable companies that may not have raised external funding but demonstrate scale through sustained growth and market presence. A large, well-funded platform with a global team scores higher in this dimension than an early-stage startup, reflecting the lower risk profile for buyers making a multi-year technology commitment.

Every platform in the directory passes through a multi-stage verification process before being scored.

Data collection. We collect and structure data from publicly available sources including the platform's website, published case studies, integration directories, platform partner programmes, review sites, and business records.

Case study verification. Every case study in the directory can be independently verified by the client named in it. When a platform submits a case study, we generate a unique verification link. The platform shares this link with their client. The client reviews the campaign details and confirms the results. Verified case studies are marked with a 'Client Verified' badge and weighted more heavily in scoring.

Cross-referencing. We cross-reference claimed partnerships, awards, and customer relationships against independent records. A claimed Meta Business Partner status is checked against Meta's partner directory. A claimed award is checked against the awarding body's archive. Nothing is taken at face value.

Ongoing updates. Scores are recalculated when new data becomes available. Platforms that publish new case studies, earn new partnerships, or win new awards will see their scores updated in the next refresh cycle.

It is as important to be clear about what is excluded as what is included.

Pricing. We do not score platforms on how much they charge. A $49/month tool is not worse than a $5,000/month platform. Price is displayed on every profile for buyer convenience but has zero impact on the score.

UX or design quality. We do not assess how the product looks or feels. Product Depth measures what the platform does, not how it looks doing it.

Self-reported testimonials without verification. Quotes on a homepage without verifiable context do not move scores. Client-verified case studies with specific results do.

Length of time in this directory. New entries are scored on the same scale as long-standing ones.

Paid placements. No platform can pay to appear in the directory, to improve its score, or to influence where it ranks. This is the founding principle of the Influencer Power Index.

The Influencer Power Index scores platforms on what is publicly observable, voluntarily disclosed, and independently verifiable. We believe this produces the most trustworthy ranking available in the market today. We also believe in being honest about where the framework has natural boundaries.

We can only evaluate what we can see. A platform that publishes detailed feature documentation, maintains a public integrations page, and showcases customer case studies with specific results will be scored more completely than a platform that gates its product behind a sales call. We score the visible product, not the demo.

Business scale indicators such as team size, funding, and years in market are imperfect proxies for financial health. A profitable, bootstrapped company generating strong revenue may score lower on Revenue & Growth than a heavily funded competitor that has not yet reached profitability. We recognise this and encourage buyers to read dimension scores individually, not just the total.

Our data sources for Industry Recognition currently skew toward Western institutions. Platforms with strong recognition in non-Western markets may be underrepresented in this dimension. We are actively expanding our coverage.

Client-verified case studies are the strongest signal in the framework, and we weight them accordingly. Where verification has not been completed, we rely on publicly documented results, which are a meaningful but less definitive indicator.

No scoring system is complete. Ours is transparent, independent, and improving with every cycle.