Made With Intent
AI NativeFinding new growth for ecommerce teams in real-time visitor intent. Data, segments & experiences ✖️
MarketsPersonalization Engines
Finding new growth for ecommerce teams in real-time visitor intent. Data, segments & experiences ✖️
Published Oct 4, 2026
The vendor provides a product journey page that indicates ongoing development, but specific dated roadmap commitments were not publicly documented in the sources reviewed.
The vendor website contains customer stories and outcome claims (e.g., revenue uplift and margin impact). These are vendor-published and typically lack detailed methodology disclosure.
Examples of claims observed on vendor pages include numeric uplift figures attributed to customer engagements. These figures are useful directional indicators but should be corroborated via references and methodology disclosure.
No clearly relevant, product-specific discussions were found on public forums such as Reddit or Hacker News in the accessible search results; many matches were irrelevant due to the generic nature of the product name.
Implication: the public "voice of customer" footprint for this vendor is relatively limited compared with more established platforms. Procurement should prioritise reference calls and controlled pilots to validate vendor claims.
Press coverage and vendor communications have mentioned early or beta customers in the retail sector. Such PR and press references should be treated as directional and corroborated through direct vendor or customer references where possible.
Typical fit:
Get a comprehensive analysis of Made With Intent including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →Organisations requiring a full-suite commerce experience platform (search/discovery + email/SMS + CDP + experimentation in one). In that case, larger suite vendors may be more appropriate.
Organisations that require extensive third-party validation (large volumes of independent reviews on platforms such as G2/TrustRadius). The vendor's public review footprint appeared limited in this research pass.
Organisations with strict security procurement mandates (e.g., SOC 2 Type II required pre-contract) where the vendor cannot provide the requested documentation.
Teams that are not resourced to act on intent signals (no CRO/CRM ownership, slow creative cycles, or limited measurement discipline). Intent signals without activation and governance are unlikely to yield expected ROI.
Organisations primarily seeking classic experimentation features (feature flags, complex multivariate testing, product experimentation workflows). Dedicated experimentation platforms may be a better fit for those needs.
Status: independent review coverage appears limited or unavailable in the public search pass conducted.
The vendor publishes customer stories and outcome claims referencing substantial revenue uplift and reductions in abandonment rates. Examples include claims of large revenue gains and improvements in customer retention metrics.
Critical evaluation and methodology gaps:
Suggested reference-call questions and validation steps:
Made With Intent (MWI) is an intent-based experience optimisation platform for eCommerce. It collects onsite behaviour via a script, applies a machine learning model to infer real-time visitor intent (e.g., likelihood to convert, exit, return, add-to-cart), and enables teams to trigger onsite experiences and orchestrate campaigns based on those intent signals rather than static attributes like page type, device, or UTM source. The vendor frames its goal as making personalisation "visitor-contextual" (focused on what the visitor is trying to do and how confident the system is) rather than "website-contextual."
MWI positions itself as addressing a common gap in ecommerce optimisation: many programmes focus on aggregate conversion rate improvements and broad A/B tests, while potentially missing in-the-moment hesitation/intent signals that could motivate more targeted interventions. The vendor describes an automated capability that can allocate traffic to experiences and run tests to identify uplift more quickly.
What it is not (based on available docs): It is not presented as a full customer data platform (CDP), a full-featured email/SMS product, or a full replacement for dedicated experimentation platforms. The product functions as an intent layer and activation layer that integrates with existing martech stacks.