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Superads is an AI-powered creative analytics platform that stands out by turning raw ad performance data from Meta, TikTok, and LinkedIn into fast, visual, and actionable insights for marketers and creative teams. By combining AI tagging, creative breakdowns, and an interactive reporting layer, it helps teams understand why specific ad creatives work, not just whether they perform.​

What is Superads?

Superads, launched by Superside, is an AI-driven SaaS platform built to unify creative and performance analytics across major paid social channels. Its core purpose is to bridge the gap between media buyers and designers by making creative performance data accessible, understandable, and shareable in a single workspace.​

The platform ingests campaign data from Meta, TikTok, and LinkedIn, then applies proprietary AI models to classify and analyze creative elements such as hooks, tone, emotional triggers, colors, and value propositions. This AI-first approach moves teams away from manual spreadsheet analysis toward automated insights and recommendations for improving ROAS and creative efficiency.​

Key Features

Superads combines reporting, AI analytics, and collaboration features tailored to performance marketers and creative teams.​

  • Cross-channel creative performance dashboards
    Superads consolidates data from Meta, TikTok, and LinkedIn into visual dashboards and reports, allowing teams to track key metrics and compare performance across channels in one interface. Users can build and share custom dashboards to monitor the KPIs that matter most to their campaigns.​
  • AI-powered insights and tagging
    The platform automatically classifies ads by creative dimensions such as product, ad type, hooks, emotional triggers, tone, and value propositions, reducing manual naming and tagging work. These AI-analyzed dimensions help users quickly identify the creative elements that correlate with higher performance.​
  • AI Copilot and “chat with your data”
    Superads includes an AI Copilot that lets users query reports in natural language, ask for explanations, summarize performance, and even edit reports directly through chat. This copilot uses historical data to suggest optimization ideas and highlight key trends without requiring SQL or BI expertise.​
  • Custom breakdowns and creative analysis
    Users can create custom breakdowns to slice performance by variables like audience, placement, or creative attributes, and Pro users get AI Creative Breakdowns for deeper analysis. This granularity is particularly useful for isolating winning combinations of copy, CTAs, and formats across campaigns.​
  • Collaboration and shareable reports
    Superads enables teams to share interactive, client-ready dashboards and reports, making it easier to align stakeholders on what is working and what to test next. Unlimited team members on the free plan support cross-functional collaboration between marketing, performance, and design.​

User Experience

Superads presents a web-based, dashboard-centric UI designed to feel familiar to marketers who are used to platform ad managers but want a unified view. Reports and boards are drag-and-drop configurable, allowing non-technical users to build tailored analytics views without BI tooling.​

Connecting ad accounts from Meta, TikTok, and LinkedIn is a guided process, after which data starts populating automatically with no additional ETL setup. From there, the AI Copilot and prebuilt templates help new users get value quickly, while advanced users can create custom breakdowns and multi-account boards to support more complex workflows.​

Performance and Results

Superads is positioned to improve time-to-insight by automating creative tagging and cross-account analysis, significantly reducing time spent in spreadsheets. For agencies and growth teams, this can translate into faster iteration cycles on creative hypotheses and clearer visibility into which assets drive incremental performance.​

Vendors and directories highlight use cases where teams use Superads to identify top-performing hooks, headlines, and visual patterns, then scale those patterns across accounts to improve campaign ROI. While public, quantitative benchmarks are limited, the core value proposition centers on speeding up decision-making and exposing the “why” behind creative success more effectively than native ad platform UIs.​

Pricing and Plans

Superads follows a freemium model with a generous free tier and a scalable Professional plan.​

  • Free plan
    The free tier includes unlimited ad accounts, access and editing for 1 report, 30 days of historical data, AI Copilot, Superads Scores, custom breakdowns, unlimited team members, and unlimited ad spend. This makes it suitable for small teams or initial pilots that need core analytics without upfront cost.​
  • Professional plan
    Professional starts at around $49 per month and scales with the last 30 days of ad spend. It adds unlimited reports and boards, up to 365 days of data, AI Creative Breakdowns, multi-account and multi-breakdown reporting, date comparison, export, and priority support, plus a 14-day free trial.​

This pricing structure aligns value with spend, giving high-spend advertisers more analytics depth while keeping entry costs low for smaller teams.​

Pros and Cons

Superads offers a strong value proposition but is not without trade-offs.​

Pros

  • Purpose-built for creative analytics across Meta, TikTok, and LinkedIn, consolidating fragmented reporting into one interface.​
  • AI-powered insights, tagging, and copilot features reduce manual work and make complex data more accessible.​
  • Generous free plan with unlimited spend and team members, plus a straightforward, scalable Professional tier.​

Cons

  • Currently focused on paid social; support for additional channels (e.g., YouTube, search) is limited or still in roadmap phases.​
  • Reliance on platform APIs means data latency and coverage are constrained by source platforms’ limitations.​
  • Advanced value requires users to already have meaningful paid social volumes; very small advertisers may underutilize the Pro feature set.​

Best For

Superads is best suited for performance marketing teams, digital agencies, and growth-stage brands with significant spend on Meta, TikTok, and LinkedIn. These teams benefit most from cross-account analytics, creative breakdowns, and automated reporting across multiple client or brand portfolios.​

It is also well aligned with in-house creative teams that want to tie design decisions back to performance data without learning complex BI tools. Industries that rely heavily on paid social—such as ecommerce, DTC brands, SaaS, gaming, and subscription services—are likely to see the strongest impact.​

Final Verdict

From a technical and operational standpoint, Superads effectively fills a gap between raw ad platform dashboards and heavyweight BI solutions by focusing narrowly on creative performance analytics. Its AI engine, copilot capabilities, and configurable dashboards make it a compelling option for teams that iterate rapidly on creative and need shareable, insight-rich reporting.​

Overall, Superads merits an approximate rating of 4.4/5 for AI-driven creative analytics, with high marks for usability, collaboration, and AI features, and caveats around channel coverage and dependence on paid social scale. For teams already managing multi-platform campaigns, it can substantially reduce friction in understanding and optimizing ad creative.​

Conclusion

Superads is a focused, AI-powered creative analytics platform that helps marketers and creatives move beyond spreadsheets to fast, visual, and explanation-rich insights across Meta, TikTok, and LinkedIn campaigns. With its freemium pricing, AI Copilot, and multi-account reporting, it offers a practical path to operationalizing creative intelligence without a full data engineering stack.​

For tech professionals evaluating marketing analytics tools, Superads is particularly strong as an AI creative analytics and AI ad reporting solution for paid social environments. When positioned alongside existing attribution and BI tools, it can serve as the creative performance layer that connects media buying decisions with the underlying creative variables that drive ROI.