Made With Intent

Revolutionize e-commerce with real-time customer intent prediction.. [Contact for Pricing]

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What is Made With Intent?

Made With Intent is an AI-powered intent-based experience optimization platform designed specifically for eCommerce businesses. It continuously tracks visitor behavior in real-time, predicts customer intent using 800+ behavioral signals, and delivers personalized experiences without waiting for page loads. The platform uses a deep learning neural network trained on over 50 billion modeled events across hundreds of eCommerce sites to provide instant, accurate predictions about visitor purchase readiness, exit likelihood, and return probability.

Key features include real-time intent modeling with ~50ms prediction response time, 20+ overlay and in-page templates for campaigns (discounting, social proof, email capture, messaging, product discovery, prompts, content prioritization), Agentic Campaigns that launch in under 5 minutes, custom campaign builders for segments using the Intent Framework (Stage, Signal, Interest, Trend), transparent reporting with Bayesian statistics and A/B testing, and flexible integrations with analytics, CRM, CDPs, ad networks, and email platforms. The platform requires only a 7kb script addition with no impact on site speed or Core Web Vitals.

Made With Intent is designed for eCommerce marketing teams, digital experience managers, growth marketers, and data-led retailers seeking to improve conversion rates and customer engagement. The average customer sees +9.4% incremental revenue, +11.2% margin, and +31% experience impact. It serves 100+ eCommerce brands and is particularly valuable for teams wanting to move beyond generic optimization to specific personalization based on real-time visitor intent.

Made With Intent pricing

Pricing model: Freemium

Pricing details are tailored to business needs and not publicly disclosed on the website. The platform offers a comprehensive demo version for evaluation. Made With Intent does not have a publicly listed free tier; interested businesses must book a personal demo to discuss pricing. The demo includes a meeting scheduler and video while waiting. Pricing is customized based on business size, traffic volume, and specific use cases. The company emphasizes rapid ROI with measurable revenue lifts in days rather than weeks, suggesting value-based pricing aligned with the average +9.4% revenue uplift customers experience.

Made With Intent pros

  • Average +9.4% incremental revenue across customers
  • Real-time intent updates on every interaction, not just page loads
  • ~50ms prediction response time for immediate action
  • Models 800+ behavioral signals continuously
  • Trained on 50+ billion modeled eCommerce events
  • Works on any eCommerce site with universal compatibility
  • No PII collection, GDPR and UK data protection compliant
  • 7kb script with zero impact on site speed or Core Web Vitals
  • Agentic Campaigns launch in less than 5 minutes
  • Growth found within a week of setup
  • 20+ overlay and in-page templates ready to use
  • Intent Framework with Stage, Signal, Interest, and Trend segmentation
  • Bayesian statistics reporting with A/B test variations
  • Integrates with analytics, CRM, CDPs, ad networks, email platforms
  • No tagging events required, AI collects everything automatically
  • 40% more email sign-ups of better quality on average
  • 24% average uplift in intent to purchase
  • 42% margin savings from targeted discounting only when needed
  • 83% fewer returns on targeted products with sizing guidance
  • Comparable benchmark data against other brands from global model

Made With Intent cons

  • Pricing details not publicly available, requires demo booking
  • No free tier mentioned, only comprehensive demo available
  • Primarily designed for eCommerce, not suitable for other industries
  • Requires script installation via tag manager or site code
  • Model fine-tunes over days, not instant full optimization
  • No phone support, only live chat or contact form available
  • Fully remote company with limited direct communication options
  • Agentic Campaigns may require learning phase for optimal performance
  • Best results depend on sufficient traffic volume for statistical significance
  • Custom campaigns require manual segment building and strategy design

Frequently asked questions about Made With Intent

What is Made With Intent and how does it work?

Made With Intent is an intent-based experience optimization platform for eCommerce that continuously tracks visitor behavior, predicts intent using 800+ real-time behavioral signals, and delivers personalized experiences. It works through a 5-step process: Listen (collect shopper signals in real-time via a 7kb script), Model (process signals through a deep learning neural network trained on 50+ billion events), Predict (return actionable predictions in ~50ms), Respond (deliver experiences in moments that matter without page load requirements), and Report (measure impact using Bayesian statistics and A/B testing).

What results can I expect from using Made With Intent?

Customers see an average +9.4% incremental revenue, +11.2% margin increase, and +31% experience impact. Specific results include 24% uplift in intent to purchase, 40% more high-quality email sign-ups, 6x more emails captured by targeting intent drops, 42% margin savings from targeted discounting, 83% fewer returns with sizing guidance to high-intent visitors, and 26% conversion rate increase after month one. Growth is typically found within a week of launching Agentic Campaigns.

How difficult is setup and implementation?

Setup takes just 1 minute by adding a 7kb script via your tag manager or site code. No event tagging is required as the AI technology collects everything automatically. The model works immediately and fine-tunes to your visitors in days. You can launch your first Agentic Campaigns in less than 5 minutes and find growth within a week. The script has no impact on site speed or Core Web Vitals.

What is the Intent Framework and how does segmentation work?

The Intent Framework segments visitors across 4 dimensions: Intent Stage (how likely to buy - Low/Building/High), Intent Signal (real-time behavioral clues like Purchase Confidence, Readiness to Add to Bag, Likelihood to Abandon, Likelihood to Return, Shopper Mindset), Intent Interest (specific products, categories, brands, price points, custom affinities), and Intent Trend (increasing or decreasing behavior speed/direction). Custom Campaigns let you merge any combination into segments that trigger experiences the moment a visitor matches, without page load requirements.

What types of campaigns and experiences can I create?

You can launch 20+ overlay and in-page templates in 5 minutes or less including: Discounting with Intent (unique intent-based voucher codes), Social Proof with Intent (intent-triggered social proof messages), Email Capture with Intent (asking at optimal times for 40% more sign-ups), Messaging with Intent (specific messaging at right moments), Product Discovery with Intent (appropriate nudges and guidance), Prompts with Intent (in-session nudges to guide visitors), and Content Prioritization with Intent (surface content that drives action). You can also build custom segments and dynamic experiences.

How is Made With Intent different from traditional analytics or personalization tools?

Unlike conventional tools that analyze static snapshots or trigger only on page loads, Made With Intent updates predictions on every interaction with ~50ms response time. It uses a Large Event Model (LEM) trained on hundreds of eCommerce sites for instant accuracy, then fine-tunes to your site's nuances. The platform focuses on P&L-moving outcomes (conversion, exit, return) rather than generic metrics, provides comparison against other brands from its global foundation, and uses segment-first experimentation with Bayesian statistics for transparent impact measurement.

Does Made With Intent collect personal data or violate privacy?

No PII (Personally Identifiable Information) is collected. The platform tracks behavioral signals and micro-interactions without collecting personal data, making it fully compliant with GDPR and UK data protection law. The privacy policy details how data is collected, used, and protected. The script is 7kb and has no impact on Core Web Vitals while tracking everything needed for intent prediction.

What integrations does Made With Intent support?

Intent data is fully accessible in real-time on your site's front end or batched after the session. The script automatically pushes intent data via data layer events into your other platforms. It works with testing tools, experience engines, ad networks, email campaigns, analytics platforms, CDPs, CRM systems, and more. You can integrate predictive metrics into your existing datasets and workflows without replacing your current tech stack.

How does reporting and measurement work?

Made With Intent uses segment-first experimentation combined with Bayesian statistics to show whether an experience genuinely changed segment behavior plus global impact. For Agentic Campaigns, agent reporting displays performance evolution, emerging audiences, learning phase, probability to beat control, projected impact, and how decisions change over time. You can A/B test variations, see impact vs holdback groups, and get transparent agent updates. Expected Metrics provide trademarked 0-1 predictor metrics revealing likelihood of key eCommerce actions.

Who is the ideal customer for Made With Intent?

The primary audience includes eCommerce marketing teams, digital experience managers, growth marketers, and data-led retailers seeking to improve conversion rates and customer engagement through real-time personalization. The platform serves 100+ eCommerce brands and is ideal for businesses wanting to move beyond generic tactics to intent-based experiences. It's particularly valuable for teams struggling with inappropriate communication timing, blanket discounting hurting margins, low email capture quality, or inability to identify visitors ready to buy versus those needing nurturing.

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