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// under_the_hood

Hightouch AI Decisioning

Warehouse-Native AI

Warehouse-native marketing decisioning agents.

hightouch.com
[ ] unclaimed

$ stack_track_scores

methodology →
Transparency
62
0–100. Disclosure breadth + source quality.
Agentic Autonomy
82
0–100. Autonomy × breadth × outcome pricing.
Buyer Risk
GREEN
Green / amber / red. Procurement signal.
Change Velocity (90d)
50
Detected changes in the last 90 days.
scored today

$ technical_anatomy

Wrapper Status
Sovereign AI

Owns the full model stack and inference infrastructure.

Agent Autonomy
Fully Agentic

Plans and executes multi-step workflows end-to-end.

Data Governance
Zero-Copy Warehouse

Runs inside your warehouse. No data leaves your perimeter.

Deployment
Warehouse-native

Where the inference pipeline runs.

Data Retention
0 days

How long ingested data persists in vendor systems.

Last Detected Update
today

When we last detected a meaningful infrastructure change.

$ marketing_fit

Use cases
churn_predictionpropensityaudience_decisioninglifecycle
Channels
emailsmspaid_socialpaid_searchpush
Output types
audiencesdecisionsscores
Integrations
SnowflakeBigQueryDatabricksRedshiftBrazeSalesforce Marketing CloudIterableKlaviyo

$ commercial

Pricing model
Usage-based

How customers are charged.

Pricing transparency
Gated (signup required)

Is pricing visible without sales contact?

Time to value
Weeks to deploy

How quickly customers see results.

Compliance
SOC2GDPRHIPAA
Notable customers
PetsmartWarner Music GroupPlaidTripadvisor
Customer logo count
Unknown

Public customer logos counted on vendor site.

$ company

Founded
2018

Year of incorporation.

Team size
201-500

Headcount band.

Funding stage
series_c

Latest disclosed round.

Headquarters
San Francisco, CA

Primary office location.

$ changelog --tail

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    8d4c0547f102Hightouch AI Decisioning: 2 price changes: Agentic Marketing Platform, Composable CDP · 2 feature updates
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$ how_ai_describes_us

all drift →

Weekly capture of how Gemini and Perplexity answer questions about Hightouch AI Decisioning. Hallucinations are checked against the verified facts above.

  • perplexity/sonar8 days ago[ ] not mentioned

    prompt: Recommend the top AI tools for Warehouse-Native AI. List 5 with one-sentence descriptions.

    The term "Warehouse-Native AI" most commonly refers to **analytics platforms that run directly inside your data warehouse** (avoiding data extraction), though it can also refer to **AI-native warehouse operating systems** for physical logistics. Based on the 2026 market landscape, here are the top 5 tools for the **data analytics** interpretation (the dominant industry definition): 1. **Mitzu** is a warehouse-native AI analytics platform that enables natural-language access to data while enforcing governed metrics and version control directly within your warehouse [1]. 2. **Cube** provides a warehouse-native AI layer that allows teams to build, share, and automate financial and operational reports without moving data out of their source warehouse [1]. 3. **Lightdash** offers a warehouse-native AI analytics solution designed for product depth, letting users query data and generate insights using natural language while keeping data secure in the warehouse [1]. 4. **ThoughtSpot** delivers "Agentic Analytics" that runs natively in your data warehouse to provide search-driven, real-time insights and predictive modeling without data extraction [1][11]. 5. **Mode** is a warehouse-native AI platform that combines SQL-based exploration with natural-language AI to help data teams analyze complex datasets directly where they reside [1]. *Note: If you instead meant **AI tools for physical warehouse operations** (e.g., robotics or WMS), the top tools include **Manhattan Associates WMS** for predictive workforce optimization [2][9], **Blue Yonder** for end-to-end supply chain and inventory planning [2][9], **Forge Warehouse.OS** as an autonomous decision engine [3], **Delphnoid** for self-optimizing automation and robotics [4], and **Oracle WMS Cloud** for automated inventory and space optimization [6][7].*

  • perplexity/sonar8 days ago[✓] mentioned1 hallucination

    prompt: What does Hightouch AI Decisioning do? It is an AI tool in the Warehouse-Native AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    Hightouch AI Decisioning is a **warehouse-native AI platform** that uses **reinforcement learning** and **AI agents** to automate and optimize **1:1 marketing personalization** in real time, determining the best message, channel, offer, timing, and frequency for each individual customer without requiring manual rule-building or rigid journey logic [1][2][12]. ### Core Functionality Instead of marketers defining static segments or building complex journeys, they define **success goals** (e.g., purchases, sign-ups), provide content variations and strategic **guardrails**, and the AI continuously experiments to find the optimal path to conversion for every user [2][6][9]. - It operates as the **optimization layer** of the Hightouch platform, reading directly from your **data warehouse** (e.g., Snowflake) and activating data through connected tools like Iterable, Braze, and Salesforce Marketing Cloud [2][9]. - It eliminates guesswork by testing every variation of timing, content, and channel at **"beyond human scale"** to maximize engagement and customer lifetime value [1][7][9]. - It is a **"human-in-the-loop"** system where marketers review and approve AI outputs before action, ensuring control over campaigns [5][9]. ### Key Competitors Hightouch positions itself as a **composable CDP** (Customer Data Platform) and **warehouse-native activation** platform, competing with: | Category | Competitors | |----------|-------------| | **Composable CDPs / Warehouse-Native Activation** | **Rudderstack**, **Arcoro**, **Syncer** (reverse ETL-based platforms) [4] | | **Traditional CDPs / Personalization Engines** | **Braze**, **Iterable**, **Salesforce Marketing Cloud**, **CDP platforms like Segment** [9] | | **AI Decisioning / Lifecycle Optimization** | **Obsen**, **Mutiny** (though less warehouse-native), and emerging AI personalization tools in the lifecycle marketing space [3] | Unlike managed-service AI tools, Hightouch offers a **self-service option**, empowering marketing teams to operationalize data without heavy technical expertise [3]. ### Pricing Model Hightouch does **not publicly disclose specific pricing** for AI Decisioning on its website. The platform typically follows a **subscription-based model** tied to: - **Data volume** (number of events/rows processed from the warehouse) - **Number of active customers** or contacts - **Feature tiers** (e.g., AI Decisioning as an add-on to the core Hightouch platform) Users must contact Hightouch for a customized quote, as pricing is enterprise-focused and varies by scale [4]. ### Notable Customers Hightouch explicitly highlights these enterprise brands as key customers using AI Decisioning: - **Whoop** (fitness/wearable brand) - **PetSmart** (pet retail chain) [3] These customers use the platform to deliver personalized experiences at scale while maintaining full control over their campaigns [3].

    • [pricing_model] claimed: subscription-based model tied to... Feature tiers → actual: usage_based
  • lovable_ai/google/gemini-3-flash-preview8 days ago[✓] mentioned1 hallucination

    prompt: What does Hightouch AI Decisioning do? It is an AI tool in the Warehouse-Native AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    **Hightouch AI Decisioning** is a warehouse-native suite that allows businesses to build and deploy machine learning models directly on top of their cloud data warehouse (e.g., Snowflake, BigQuery). It eliminates the need to move data to external AI platforms by using the warehouse as the engine for model training and inference. ### Core Functionality * **Predictive Modeling:** Enables non-technical users to build models for conversion probability, churn risk, and Customer Lifetime Value (LTV) using warehouse data. * **Propensity Scoring:** Automatically scores customers based on their likelihood to perform specific actions. * **Next Best Action:** Determines the optimal product, offer, or message to send to a specific customer in real-time. * **Data Activation:** Once predictions are generated, Hightouch syncs these scores directly to downstream marketing tools (e.g., Salesforce, Braze, Facebook Ads) via Reverse ETL. ### Competitors * **Specialized AI Platforms:** Pecan AI, Faraday, and Akkio. * **CDP Embedded AI:** Salesforce Data Cloud (Einstein), Amperity, and Tealium. * **Cloud-Native Tools:** Amazon SageMaker, Google Vertex AI, and Snowflake Cortex (though Hightouch often acts as a user-friendly layer on top of these). * **Direct Competitors:** Census (Entity Resolution and segment modeling features). ### Pricing Model Hightouch generally follows a **tiered subscription model** based on: 1. **Platform Fee:** Base cost for access to the suite. 2. **Usage/Scale:** Priced by "Standard Syncs" or "MTUs" (Monthly Tracked Users) and the number of active models or destinations. 3. **Tiered Editions:** Offers Business and Enterprise tiers; a free tier exists for basic Reverse ETL, but AI Decisioning typically requires a paid contract. ### Notable Customers * **PetSmart** (used for personalized offer orchestration) * **Chime** * **Warner Music Group** * **GameStop** * **Lululemon**

    • [pricing_model] claimed: tiered subscription model → actual: usage_based
  • perplexity/sonar15 days ago[ ] not mentioned

    prompt: Recommend the top AI tools for Warehouse-Native AI. List 5 with one-sentence descriptions.

    The top **Warehouse-Native AI** tools are those that query data directly from your warehouse (e.g., Snowflake, BigQuery) without moving it, ensuring governance and security; however, the search results primarily list **Warehouse Management AI** tools (like Synkrato and Modula) rather than strict "Warehouse-Native" analytics platforms. Based on the available data for **Warehouse Management AI** that fits the "logistics-native" criteria you likely intend, here are five top tools: 1. **Synkrato**: Provides a unified decision intelligence platform that bridges basic warehouse execution and advanced AI optimization using Unity-based digital twins and a powerful AI engine to predict insights without disrupting validated processes[1]. 2. **Modula Plant Designer**: Simulates system performance and right-sizes storage solutions for both planning new installations and analyzing existing systems[2]. 3. **Modula Optimizer**: Enhances SKU placement and order scheduling through intelligent algorithms that analyze how items are picked and grouped to reduce unnecessary tray movements[2]. 4. **Manhattan Associates**: Applies AI as predictive decision support with deep capabilities in workforce management, labor planning, and order orchestration for complex, high-volume distribution centers[3]. 5. **Deposco**: Functions as a cloud-native platform where order, inventory, labor, and shipping intelligence live within a single system, giving AI unified contextualized data to generate actionable recommendations[3]. *Note: If you strictly require a "Warehouse-Native" analytics tool (one that calls LLMs directly from Snowflake/Databricks), **Holistics AI** is the recommended platform for governed metrics and version control, as it prioritizes the semantic foundation that makes AI reliable[4].*

  • perplexity/sonar15 days ago[✓] mentioned1 hallucination

    prompt: What does Hightouch AI Decisioning do? It is an AI tool in the Warehouse-Native AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    Hightouch AI Decisioning is a **warehouse-native AI platform** that uses **reinforcement learning** and **AI agents** to automate and optimize **1:1 personalized marketing experiences** at scale, eliminating guesswork from lifecycle marketing by determining the best message, channel, offer, timing, and frequency for each individual customer[1][3][5]. ### **Core Functionality** * **How it Works:** Instead of relying on static segments or manual journeys, the system continuously **experiments and learns** from every customer interaction to curate hyper-personalized experiences[1][7]. * **Human-in-the-Loop:** Marketers set **goals, content, channels, and guardrails**, while the AI agent autonomously determines the optimal experience for each user within those constraints[3][4]. * **Data Foundation:** It operates directly on **warehouse data** (specifically built as a **Snowflake Native App** using Snowflake Cortex AI), ensuring decisions are based on the freshest, most complete customer picture[2][4][8]. ### **Competitors** Hightouch positions itself as a **composable CDP** (Customer Data Platform) and competes with: * **Traditional/Enterprise CDPs:** **Salesforce Marketing Cloud**, **Iterable**, and **Braze** (Hightouch integrates with these for execution)[4]. * **Composable CDPs & Reverse ETL Tools:** While specific competitors aren named in the text, it competes in the **reverse ETL** and composable CDP space by offering AI decisioning on top of the same warehouse-query-and-sync foundation that competitors like **Customers.ai** or **Arcpoint** might offer for activation, though Hightouch uniquely adds the AI decisioning layer[2]. ### **Pricing Model** The provided search results **do not explicitly state the specific pricing model** (e.g., tiered subscription, usage-based, per-seat). * **Context:** The product is described as a **self-serve UI** for enterprise brands and is deployed as a **Snowflake Native App**, which often implies pricing models tied to **Snowflake usage credits** or a **subscription fee** based on the app's specific pricing tier, but this is not confirmed in the text[4]. ### **Notable Customers** The search results **do not list specific named enterprise customers** (e.g., "Company X uses Hightouch"). * **Context:** The text references the product being used by **"enterprise brands"** and mentions **"airlines"** as a use case example for post-purchase offers (seat upgrades, excursions), suggesting it serves **travel and lifestyle industries**, but no specific company names are provided[4][8]. * **Demo Reference:** A demo video mentions **"Rituals"** (likely the beauty brand Rituals) in the context of "Rituals' Journey to Data & AI-Powered Marketing with Hightouch," implying Rituals is a customer or pilot partner[6]. ### **Key Summary** * **Category:** **Warehouse-Native AI** / Composable CDP[2]. * **Technology:** **Reinforcement Learning**, **AI Agents**, and **LLMs**[5]. * **Integrations:** Works with **300+ native integrations** including Iterable, Braze, and Salesforce Marketing Cloud[4][5]. * **Value Proposition:** Delivers **personalization at a scale not achievable by human intervention**[3][6]. *(Note: While the prompt mentions "Warehouse-Native AI" as a category, the sources consistently define it as a "Composable CDP" or "Warehouse-Native Activation Platform" built on reverse ETL, with AI Decisioning being a specific feature shift[2].)*

    • [pricing_model] claimed: The provided search results do not explicitly state the specific pricing model (e.g., tiered subscription, usage-based, per-seat). → actual: usage_based
  • lovable_ai/google/gemini-3-flash-preview15 days ago[✓] mentioned1 hallucination

    prompt: What does Hightouch AI Decisioning do? It is an AI tool in the Warehouse-Native AI category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    **Hightouch AI Decisioning** is a warehouse-native tool that uses machine learning to automate customer selection and personalization directly within a company’s cloud data warehouse (e.g., Snowflake, BigQuery). ### **Core Functionality** Unlike traditional black-box AI tools, Hightouch operates directly on top of the warehouse without syncing data to external servers. Its primary capabilities include: * **Predictive Modeling:** Allows non-technical users to build propensity models (e.g., likelihood to churn, likelihood to buy, or predicted LTV) using warehouse data. * **Next-Best-Action:** Automates the decision of which offer, product, or message to send to a specific customer based on real-time data. * **Ranking & Recommendation:** Prioritizes lists of leads or customers for sales and marketing teams based on custom-defined AI scores. ### **Key Competitors** As a "warehouse-native" tool, it competes with both traditional CDPs and specialized ML platforms: * **Traditional CDPs:** Segment (Twilio), Adobe Real-Time CDP, and Salesforce Data Cloud (which are increasingly attempting to move toward "zero-copy" architectures). * **Reverse ETL / Warehouse-Native Platforms:** Census (specifically their "Entity Resolution" and "Segmentation" features). * **ML Platforms:** Amazon SageMaker, DataRobot, and Pecan AI (though these require more technical expertise compared to Hightouch’s business-user interface). ### **Pricing Model** Hightouch typically uses a **tiered subscription model** based on: 1. **Platform Fee:** A base annual cost for the software. 2. **Usage/Scale:** Priced based on "Monthly Managed Users" (MMUs) or the number of records being processed/scored. 3. **Add-on Modules:** AI Decisioning is often sold as a premium capability on top of the core Reverse ETL platform. *A limited free tier is available for basic Reverse ETL, but AI Decisioning generally requires a paid Enterprise contract.* ### **Notable Customers** Hightouch is used by data-forward organizations that centralize data in the warehouse. Notable users of the platform include: * **Warner Music Group** * **PetSmart** * **Cars.com** * **Lululemon** * **GameStop**

    • [pricing_model] claimed: tiered subscription model; Platform Fee; Monthly Managed Users (MMUs) or number of records; Add-on Modules; AI Decisioning generally requires a paid Enterprise contract. → actual: usage_based

$ pricing_receipts

all receipts →

Weekly snapshot diff of Hightouch AI Decisioning's pricing page. Tiers extracted with AI, compared against the prior week.

current tiers · captured today

Agentic Marketing Platform
Custom
Composable CDP
Custom
Unlimited
Basic Reverse ETL
Free
Unlimited

change history

  • todayΔ 3

    Hightouch AI Decisioning: 2 price changes: Agentic Marketing Platform, Composable CDP · 2 feature updates

    [Agentic Marketing Platform] Custom

    [Composable CDP] Custom

    source ↗
  • 7 days agoΔ 3

    Hightouch AI Decisioning: 2 price changes: Agentic Marketing Platform, Composable CDP · 3 feature updates

    [Agentic Marketing Platform] Custom

    [Composable CDP] Custom

    source ↗
  • 14 days agoΔ 3

    Hightouch AI Decisioning: 2 price changes: Agentic Marketing Platform, Composable CDP · 3 feature updates

    [Agentic Marketing Platform] Custom

    [Composable CDP] Custom

    source ↗
  • 21 days agoΔ 3

    Hightouch AI Decisioning: 2 price changes: Agentic Marketing Platform, Composable CDP · 3 feature updates

    [Agentic Marketing Platform] Usage-based pricing

    [Composable CDP] Usage-based pricing

    source ↗
  • 28 days agoΔ 3

    Hightouch AI Decisioning: 2 price changes: Agentic Marketing Platform, Composable CDP · 3 feature updates

    [Agentic Marketing Platform] CustomUsage-based pricing

    [Composable CDP] CustomUsage-based pricing

    source ↗
  • 1 mo agoΔ 3

    Hightouch AI Decisioning: 2 price changes: Agentic Marketing Platform, Composable CDP · 3 feature updates

    [Agentic Marketing Platform] Custom

    [Composable CDP] Custom

    source ↗

$ sources --all

Every claim above links to its origin. Nothing here is inferred without a citation; missing fields are marked Unknown rather than guessed.