Monocle
Also known as: Monocle AI, usemonocle, Monocle AI Journeys
AI native retention and lifecycle marketing platform whose agents build 1:1 customer journeys across email, SMS, and onsite, using causal AI to select the minimum effective incentive that converts while protecting margin, layered onto a brand's existing CRM and messaging stack.
Monocle is an AI native automation platform for retention and lifecycle marketing, built for direct to consumer brands that want to move beyond static segments and manual flows to individualized customer journeys. Launched in 2023 as a promotions and incentive decisioning platform, it has grown into a system where AI agents design end to end journeys at the individual customer level, and its February 2026 AI Journeys launch extended incentive intelligence across the entire lifecycle.
The agents process behavioral and contextual signals from site visitors in real time, including anonymous traffic, then decide who to reach, when, how often, through which channel, and with which message and offer, continuously optimizing as results come in.
A defining feature is causal AI: rather than surfacing patterns in past behavior, Monocle measures which actions actually drive incremental lift and adapts each journey accordingly, and by quantifying the incremental impact of every email, SMS, and incentive per customer it builds a cost curve that reveals the most profitable strategy and selects the minimum effective offer needed to convert while protecting margin.
The platform works as a decisioning layer over Klaviyo, Shopify, Postscript, Attentive, Iterable, Listrak, Braze and Bloomreach without code, trains on first party behavioral data and existing creative, and operates within plain English guardrails the marketer sets, such as one incentive per journey, prioritize product led content, or exclude VIPs from discounts, keeping every experience on brand.
Results flow into a unified dashboard covering revenue, engagement, list health, placement, performance by message, and incremental lift, and teams can run control groups in the platform to measure incrementality. Case studies report outcomes like True Classic improving profitability per order tenfold while cutting average discount spend, and Honeylove lifting average revenue per user by twenty percent through automated abandonment personalization.
Monocle fits growth stage and enterprise DTC retention, lifecycle, and CRM teams that want margin aware personalization across email, SMS, and onsite without expanding headcount or replacing their existing tools. The home page states SOC 2 Type II certification; no pricing or developer API is published, and brands start with a demo and a 30 day proof of impact.
Vendor details
Canonical URL
https://www.usemonocle.com
Category
GTM / revenue agent
Subcategory
AI agents for retention and lifecycle marketing
Funding status
Independent, headquartered in New York City with offices in Tel Aviv, co-founded by Noam Szpiro (CEO) and Mark Lotman, by a team of veterans from Lyft, Instacart and Stripe. Monocle emerged from stealth in May 2024 with a $7.5 million seed round, having opened its platform to select brands in 2023 as a promotions and incentive decisioning product before evolving into a full lifecycle marketing platform with the AI Journeys launch in February 2026. Customers include Princess Polly, Death Wish Coffee, True Classic, Honeylove, BRUNT Workwear, Underoutfit, Newton Baby and Fulton.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Plugs into an existing retention stack without code, syncing data and creative and layering on top of Shopify, the brand's CRM, email service provider, and SMS platform rather than replacing them. Monocle intent scores sync directly back into the CRM for use in campaigns and ad audiences, and a Recart partnership connects onsite popups so they reflect Monocle's per customer recommendations.
In practice
A brand runs the same winback series to a broad segment. Monocle replaces it with per customer journeys, choosing timing, channel, message, and the minimum incentive each person needs, lifting conversion while cutting discount spend.
A retention team wants to know whether their flows actually cause revenue or just correlate with it. Monocle's causal AI measures incremental lift per message and incentive, building a cost curve that shows the most profitable strategy.
A marketer worries an AI will send off brand or over discount. They set plain English guardrails like one incentive per journey and exclude VIPs, and Monocle optimizes everything else within those rules.
Sources & related URLs
Related / legacy domains
Research sources
Agentic Index coverage score
7.5 / 14 capabilities · 54%
| Integrations & Tool Calling | Full |
|---|---|
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The agents act through a named integration catalog: Klaviyo, Shopify, Postscript, Attentive, Iterable, Listrak, Braze and Bloomreach. They send email, SMS and onsite messages through the brand's existing platform as a decisioning layer, so they act in outside systems with the brand's credentials. Sourceusemonocle.comread 2026-10-01 |
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| Workflow Orchestration | Full |
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The agents run each customer's journey as a sequence of conditional decisions (when to reach out, how often, which message and which offer) across email, SMS and onsite. Flows (welcome, winback, post purchase, cross sell, abandonment, churn) and campaigns run side by side and are adjusted as results come in. The branching is the agents' own per customer decisioning rather than a flow the buyer draws. Sourceusemonocle.comread 2026-10-01 |
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| Knowledge Grounding & RAG | Partial |
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Monocle trains its models on the brand's behavior, intent and engagement signals, which compiles that knowledge into model weights. The agents choose messages from brand provided templates and assets, a creative library rather than a retrieval structure over the brand's knowledge that answers can cite. Sourceusemonocle.com/product/how-it-worksread 2026-10-01 |
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| Human Oversight & Guardrails | Partial |
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Marketers constrain what the agents may do with plain English guidelines such as only one incentive per journey, prioritize product led content or exclude VIPs from discounts. The agents choose from marketer provided assets unless content customization is switched on. No step where a person approves a journey or message before it sends is documented. Sourceusemonocle.com/product/how-it-worksread 2026-10-01 |
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| Security, Identity & Governance | Partial |
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The home page states SOC 2 Type II certification beside a SOC 2 badge, which covers compliance. No SSO, roles, permissions or other model of who inside a brand can direct the agents is documented, and no trust page is linked. Sourceusemonocle.comread 2026-10-01 |
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| Observability & Auditability | Partial |
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Per customer visibility into what was sent, without a record of why. A unified dashboard covers revenue, engagement, list health, placement, performance by message and incremental lift, and subscriber level intent scores sync into the customer's own CRM, so a team can see which customers were reached and with what. That goes beyond aggregate reporting. What is not documented is the trace. The vendor claims complete visibility into AI decision making, but no surface is described where a marketer reads why an agent chose a channel, timing or offer for a given customer, and no run history or action log appears on the product pages. Performance by message is reporting, and the decision making claim is a statement rather than a documented feature. Sourceusemonocle.com/product/how-it-works and usemonocle.com/blog/what-is-monocle-and-how-does-it-workread 2026-09-01 |
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| Memory & State Persistence | Partial |
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Nothing names a memory feature or gives it a scope or lifetime, and the first party behavioral data the platform trains on shapes its models rather than serving as memory. What does exist is real per subscriber state carried across the relationship. The AI generates subscriber level intent scores from behavior, purchase history and emerging patterns for everyone in the CRM, and those scores update as behavior changes and sync back into the customer's CRM. An individual's journey adapts in real time on what has already been sent to them, so a person's history conditions the next decision rather than each send starting fresh. Sourceusemonocle.com/use-cases and usemonocle.com/product/how-it-worksread 2026-09-01 |
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| Deployment & Data Residency | Not documented |
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Delivered as cloud SaaS, with no self hosted or data residency options documented. SourceMonocle, usemonocle.comread 2026-07-08 |
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| Prebuilt Agents, Templates & Packs | Full |
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Prebuilt use cases a brand switches on, each a whole job run by the agents. They include flows for welcome, winback, post purchase, cross sell, abandonment and churn, campaigns for product launches and flash sales, onsite capture, and audience insights and segmentation. Sourceusemonocle.comread 2026-10-01 |
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| Triggers & Channel Coverage | Full |
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Agents watch subscriber and visitor behavior in real time, including anonymous traffic, to find the right moment to enroll or trigger, then act across email, SMS and onsite channels. SourceMonocle, usemonocle.com product page and use casesread 2026-07-08 |
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| Model Flexibility & Routing | Not documented |
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The platform uses multi armed bandits, reinforcement learning, predictive and causal models internally, but the customer does not choose or route models. SourceMonocle, usemonocle.com blogread 2026-07-08 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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Delivered as a no code product with prebuilt integrations and CRM sync, but no public developer API, SDK or MCP surface is documented. SourceMonocle, usemonocle.comread 2026-07-08 |
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| Testing, Debugging & Optimization | Full |
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A controlled experiment the customer runs, whose counterfactual is the agent. The how it works page instructs a team to set up a control group directly in the platform to measure incrementality and compare their current strategy side by side with Monocle's AI journeys. The AI Journeys announcement states that every use case can run with holdouts so teams can measure incremental revenue and understand what the AI is driving. A dedicated agentic experimentation page describes agents continuously experimenting at the customer level in place of manual A/B tests. What is withheld from a holdout is the agent's own treatment, and what is measured is the difference the agent made. Sourceusemonocle.com/product/how-it-works, the AI Journeys announcement and usemonocle.com/solutions/agentic-experimentationread 2026-09-01 |
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| Browser & Computer Use | Not documented |
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No browser or computer use capability is described. SourceMonocle, usemonocle.comread 2026-07-08 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
No public pricing; demo, then a 30 day proof of impact
Not published
What is public
Nothing numeric. The product, customers, case study outcomes, and the proof of impact onboarding motion are public, but no rates are published.
Billing mechanics
Sales led. The company selects two or three high impact areas to start, activates AI agents there, runs a proof of impact, validates measurable lift, then expands across the lifecycle, implying a land and expand commercial motion.
Cost watchouts
Monocle layers on top of existing email, SMS, and onsite spend rather than replacing those tools, so its fee is additive to the underlying messaging platform costs.
Variable cost rationale
No public rates exist. The land and expand motion and the platform's role optimizing incentive spend suggest cost scales with the breadth of the lifecycle under management and the brand's messaging volume, but the company publishes no mechanics, so treat exposure as unquantified and quoted per deal.
Additional watchouts
Because the platform sits on top of a brand's existing ESP, SMS, and onsite tools, total cost is Monocle plus the underlying messaging stack, and any percentage of revenue style pricing would scale with the very lift the product drives.
Sales call required
Yes, required for paid access
Free / trial
No free tier; the entry motion is a 30 day proof of impact after a demo
Key ambiguities
Whether pricing is a flat platform fee, a percentage of influenced or incremental revenue, or scaled by message volume.
Missing data
Monocle publishes no rates, tiers, minimums or contract structure on its company pages.
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