Dicer.ai | AI Marketing Insights

Dicer.ai | AI Marketing Insights

Dicer.ai, Inc. · Marketing

Dicer.ai is an AI marketing insights platform and media buying tool for agencies. It runs AI ad analysis across Meta, Google, and LinkedIn campaigns and creatives, then recommends changes.

Interface preview of Dicer.ai | AI Marketing Insights

About Dicer.ai | AI Marketing Insights

What Is Dicer.ai

Dicer.ai is a SaaS platform for paid media teams. It pulls campaign data from ad accounts, runs ad creative analysis on every asset running there, and explains which parts of an ad are pulling their weight. The company, based in New York, reports that it has worked on more than $1B in ad spend and that the tool is used by 600+ marketers.

The problem it targets is specific. Meta and Google now let advertisers push hundreds of creative variations at once, and no human can review each one across audiences, placements, and budgets at that speed. Dicer.ai does that reading for you, frame by frame on video and line by line on copy, then hands back a short list of things to try this week.

The limits matter as much as the features. The Meta ads analysis and Google ads analysis stop at those platforms, since TikTok and programmatic display sit outside it. There is no API yet, which means no piping its insights into a BI stack. The Pro plan caps ad spend at $25k per month, and overages cost extra.

Getting Started

  1. Open an account on app.dicer.ai and start the 7-day trial.
  2. Connect your Meta, Google, or LinkedIn ad account and pick the campaigns you want reviewed.
  3. Let the platform pull creatives and performance data for the period you select.
  4. Read the analysis by asset type: video, image, copy, targeting, and budget.
  5. Apply the recommended changes, then generate new ad creative and audience suggestions from the same dashboard.

Product Information

A quick look at Dicer.ai | AI Marketing Insights's pricing, supported platforms, and performance.

Free PlanNo
Paid Plans$199/mo - Custom
PlatformWeb
DeveloperDicer.ai, Inc.
CategoryMarketing
Release DateMay 2024
Latest UpdatedJan 2025
Website Visits2.9K
Website Global Rank5.5M
API AvailabilityNo

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Performance agencies
  • In-house media buyers
  • Creative strategists

Tasks

  • Auditing a batch of ad creatives
  • Diagnosing why a campaign stalled
  • Writing new ad variations
  • Weekly performance reviews

Scenarios

  • A lead-gen agency pushing a fresh round of insurance creative
  • A DTC brand preparing a seasonal campaign
  • A small in-house team without a dedicated analyst

Key features

Multi-Modal Creative Analysis

Dicer.ai reviews ads the way a person would, but at scale. This is the creative intelligence layer that sets it apart from a plain reporting dashboard. Video gets a frame-by-frame pass that covers the opening hook, on-screen objects, text overlays, and audio cues. Images are checked for objects, scene composition, and embedded text, and copy is examined word by word, emoji included. The point is to explain why an ad held attention or lost it, not just to report its click-through rate.

Targeting and Budget Diagnostics

The platform goes past the creative itself and asks whether the money went to the right people. It covers custom and lookalike audiences, demographic and interest targeting, and geographic splits, then checks budget efficiency against campaign objectives and placements. When an account underperforms, this separates a weak audience from a weak ad.

AI Copy and Image Generation

Analysis alone leaves the fix to the user. Dicer.ai pairs the diagnosis with generation, so a team can produce new ad copy and DALL-E 3 images inside the same workflow. Recommendations arrive as concrete steps such as adding a price to the creative or rewriting the call to action, which shortens the gap between insight and a live test.

Generative Audience Suggestions

Beyond reading existing audiences, the platform proposes new ones. It builds audience ideas from what the account data shows about converters, which helps when a buyer has exhausted the obvious interest stacks and needs a fresh angle to test.

Campaign Generation Across Platforms

The campaign generator produces setups for Meta, Google Performance Max, Google Search, and LinkedIn from a single brief. You supply the landing page, the goal, whether the audience is cold or remarketing, and any offer details, then review the recommended settings, targeting, visuals, and copy before exporting the assets.

Native Integrations

Ad accounts connect directly, and results can be pushed into Slack, with ROAS and cost per result shown next to each creative in the analysis, which is still labeled beta, for teams that live in chat rather than dashboards. Weekly insight digests give accounts without a daily analyst routine a regular check-in, and the Pro plan includes unlimited members, so an agency can share one workspace across its whole team.

Pros and cons

Pros

  • Reads video frame by frame, which catches hook and scene problems that spreadsheet metrics hide.
  • Ties creative analysis to targeting and budget checks, so recommendations account for the whole campaign.
  • Suggests concrete next steps and generates copy and images from the same screen.
  • Supports Meta, Google Search, Performance Max, and LinkedIn in one workspace.
  • Unlimited members on the Pro plan, which suits agencies sharing one account across a team.

Cons

  • No free tier. The only entry point is a 7-day trial, then $199 per month.
  • The Pro plan covers up to $25k in monthly ad spend, and overages apply beyond that.
  • No TikTok or programmatic display support, so cross-channel teams still need another tool.
  • No public API, which rules out automated reporting into an existing BI stack.
  • Slack integration is still in beta, so notifications may change.

Frequently asked questions

It audits the ad creatives and campaign data in your connected accounts, then returns an analysis of what works and a list of changes to test. The output covers video, image, copy, targeting, and budget.