Tractionwave

TractionWave is an attention analytics product for advertising and marketing creative. It predicts where attention lands on your ads, thumbnails, and campaign visuals, returning an AI attention heatmap together with ranked hotspots described in plain language. The product is built for the people who make and approve creative — designers, marketers, and agencies — and its stated purpose is simple: test the creative before you spend the budget. TractionWave runs on the web, where you can upload an image and see a result with no account needed, and it also runs inside Figma through a plugin, with a Canva app described as coming soon to the Canva Apps Marketplace. A video workflow and an MCP server extend the same attention prediction to video ads and to AI agents. The problem it addresses is stated plainly on the site: media budgets buy impressions, and attention is not included. Most creative goes live untested, and the usual feedback is an A/B test or falling click-through — both of which arrive afterward, with your money already spent. The alternatives TractionWave sets itself against are a two-week eye-tracking study or a burned A/B budget. TractionWave tells you before instead of after. It is positioned to catch buried calls to action, weak hierarchy and competing focal points while the design is still being edited, so those issues can be fixed before a single impression is bought. The core of the product is the creative evaluation. You upload a static visual as a PNG or JPG — dropping it in or pasting from the clipboard — and TractionWave returns a predicted attention heatmap shown against the original so the two can be compared side by side. Alongside the heatmap you get ranked hotspots, presented in plain language rather than raw data. The tool is described as working on any static visual, including display and social ads, thumbnails, posts, banners, posters, and slides. Once the result is in, the heatmap can be dropped onto the canvas as a layer, which lets you compare versions of a design or show the predicted attention result to your team or a client without leaving the file you are working in. TractionWave is delivered as integrations inside Canva and Figma, so the attention check happens in the editor where the creative is made. In Figma, you connect the TractionWave account from a plugin found under Plugins in Actions, then select frames — or select none to use every frame on the page — and run them. In Canva, you open Apps in the side panel, search for TractionWave, connect your account, pick a page and run it. Each Figma frame or Canva page costs 1 credit, and failed runs are refunded. The workflow is deliberately free of exports, uploads and tab switching: pick the Canva page or Figma frame and send it. One account carries one balance, so Canva and Figma runs spend the same credits as the web app, and every result lands in your workspace history. For video ads, TractionWave returns a heatmap video rather than a slideshow. Attention is blended smoothly from second to second over the full-frame-rate original, and the result is ready to download and share. Ranked hotspots are provided for every second on a timeline, so you can see when the logo, the offer and the CTA actually get looked at across the duration of the ad. This turns video creative review into a second-by-second check rather than a single overall impression of whether the ad is working. The MCP server gives AI agents what the site calls eyes for attention. You connect TractionWave to Claude, Cursor, VS Code or any MCP client by pasting the server URL at https://compute.tractionwave.com/mcp and signing in. A single tool, predict_attention, lets your agent send a screenshot or design and get ranked hotspots plus a heatmap back, so it can check a layout before it ships. Sign-in uses OAuth — no API keys — with your client opening a TractionWave consent page the first time and refreshing its own tokens afterward. Every connected agent is listed in your workspace with when it was last used, and disconnecting one stops its access immediately. Overall the product follows a three-step method. First, open the panel in Canva or Figma while you are editing the ad, post or campaign visual. Second, run the analysis with one click, which sends the current page or frame for evaluation. Third, read the heat: a predicted attention heatmap plus ranked hotspots in plain language, which you can drop onto the canvas as a layer. Under the hood, a diffusion model trained on interaction data predicts where attention lands on your creative, delivering eye-tracking-style insight in seconds instead of recruiting a panel or waiting weeks for a study. The benefits follow directly from that speed and placement. You can protect the spend by finding out whether the CTA, offer and logo actually get seen before a single impression is bought. You get evidence in seconds rather than a two-week eye-tracking study or a burned A/B budget. And you avoid adding new tools, because it runs inside Canva and Figma where the creative is made — analyze, adjust, re-run, publish. TractionWave also states that your image is used only to generate your analysis, that designs are never used to train or improve any model, that your work stays yours, and that deleting your account removes it permanently. Use cases follow the creative formats the product supports. Marketers can pretest display and social ads, thumbnails, posts, banners, posters and slides before committing budget. Designers can compare versions by dropping the heatmap onto the canvas as a layer and presenting that comparison to a team or client. Video teams can review per-second hotspots to confirm the moments a logo, offer or CTA is actually looked at. Teams using AI agents can have an MCP client call predict_attention on a screenshot or design so a layout is checked before it ships. Agencies running volume can work across many client visuals using the same credit balance and workspace history. TractionWave is aimed at designers working in Figma and Canva, marketers responsible for media budgets, teams shipping creative every week, agencies running volume, and AI agent users. Integrations include the Figma plugin on Figma Community, the Canva app listed as coming soon to the Canva Apps Marketplace, and MCP clients such as Claude Code, Claude app, Cursor and VS Code. Pricing is pay-per-evaluation with no subscription: 1 credit equals 1 evaluated visual. The free tier offers 2 evaluations — 1 watermarked with no account needed and 1 more, watermark-free, when you sign up. Starter is $18 for 10 credits ($2 per credit), Growth is $95 for 100 credits ($1 per credit) with priority processing and 5 images on us, and Scale is $185 for 400 credits ($0.50 per credit) with priority processing and 30 images on us. Paid packs include full-resolution, watermark-free output, and credits never expire. TractionWave's value proposition is narrow and clear: media budgets buy impressions but not attention, so the attention check belongs before the spend, not after. By predicting where people will look with a heatmap and ranked hotspots, and by delivering that prediction inside Figma, Canva and AI agent workflows, it lets you catch buried CTAs, weak hierarchy and competing focal points while the creative is still editable — and pay only for the evaluations you use.