From first touch to repeat purchase, AI that powers every customer journey
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Unlock the value of CRM data
With proprietary AI models, Scowtt transforms purchase stages, sales engagement, product usage, channel behavior, and loyalty into platform-ready signals that drive immediate, measurable growth.
Transform raw CRM and digital activity into predictive intent
Scowtt’s models read every signal—from CRM activity to on-site behavior—to identify who’s ready to buy and what they’re most likely to choose.
Acquisition & Qualification
Web and CRM signals are used to qualify leads in real time, pinpointing who’s ready to engage and when. This drives smarter acquisition and higher conversion.
Customer Loyalty & Re-Engagement
Purchase and product data reveal the best product for each customer and the best customers to re-engage. These insights power targeted upsell, cross-sell, and loyalty strategies.
Real-Time Quality Scoring
Models learn continuously from web and CRM activity, turning each signal into intent. Real-time scoring sharpens decisions without relying on personal data.
Configure your AI Marketing data
Want to dive deeper into how your data is set up and used? Explore the documentation for a detailed look at configuration options.
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CRM
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Use CRM standard and non-standard data
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Send the Conversion Value to Google Ads, Meta Ads, TikTok
CRM
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Write back the insights
to your CRM
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Monitor your campaigns’ results on Scowtt’s dashboards
Secure integrations with leading platforms
Flexibility to work with unstructured data including Salesforce, HubSpot, Google Ads, Meta, TikTok, Snap and Google Calendar.
Compliance and security
Enterprise-grade compliance and scalability with end-to-end encryption, security practices and SOC 2 Type II certification.
A hands-on builder with a passion for launching from the ground up, Abhishek blends deep expertise in AI and digital advertising with a track record of bringing innovative products to market. From startups to industry leaders like Meta and Microsoft, he leads with speed, clarity, and a focus on impact.
Everything you need to know
Have questions about how the platform works, how data is used, or what to expect during onboarding? This section provides clear, detailed answers to help you understand the product and processes with confidence.
Overall
What is Scowtt?
Scowtt is a predictive growth platform that unites Marketing and Sales through the customer’s CRM. It turns the CRM data and behavioral signals into predictive outcomes and real-time intelligence that fuels ad platforms like Google and Meta for value-based bidding and automated revenue growth.
What problems does Scowtt solve?
Today’s “growth stack” is a tangled mess of dozens of disconnected tools (CRM, martech, BI, analytics, ad platforms etc).
Scowtt collapses this stack into a unified ecosystem that connects:
- Offline & online signals into predictive modeling
- Marketing activation
- AI-driven Sales execution
Pricing & Funding
What are the pricing details?
Scowtt’s pricing is designed to align directly with the growth it delivers.
For Lead Generation businesses:
- A percentage of the incremental revenue driven by Scowtt’s predictive models.
- A CPL (Cost per Lead) processing fee, based on the number of leads analyzed each month.
For E-commerce and Retail businesses:
- A percentage of incremental ROAS (Return on Ad Spend) directly attributable to Scowtt.
- A percentage of media spend optimized through Scowtt’s predictive engine.
- A CPA (Cost per Acquisition) model for performance-based pricing.
In short, Scowtt’s pricing scales with the value it creates, tying cost directly to measurable, incremental growth.
How Scowtt Works
How does Scowtt’ AI Marketing work?
Scowtt is a non-disruptive intelligence layer on top of the existing systems: CRM, ad platforms, and web data.
It doesn’t replace tools; it enriches them.
- Connects to the CRM to unlock the real source of truth
- Combines CRM and behavioral data to generate predictive conversion values
- Feeds these predictive signals seamlessly back into Google, Meta, and other platforms
- Powers real-time, value-based bidding, before the customer even converts turning 1st party data into scalable probabilistic modeling
Result: faster feedback loops, higher ROI, and measurable growth.
What makes Scowtt’s AI Marketing different from traditional analytics or marketing automation tools?
Most tools measure or automate tasks. Scowtt automates outcomes.
- It predicts who will buy, renew, or churn.
- It activates these insights across sales and marketing systems.
- It learns and improves with every interaction.
Scowtt is a closed-loop growth engine, not another dashboard or audience/data platform.
How is Scowtt different from a regular Offline Conversion Import (CAPI or EC from Google)?
Traditional Offline Conversion Imports like Google’s Enhanced Conversion or METAs CAPI rely on deterministic data; they wait for a confirmed event (such as an MQL, SQL, or purchase) before sending it back to the ad platform. This means campaigns optimize after conversions happen, often weeks later, based on a limited set of binary outcomes.
Scowtt works fundamentally differently. Instead of waiting for conversions, Scowtt predicts them. It models all CRM signals across every stage: sales engagement, product usage, loyalty, and channel interactions; to create a single predictive value that represents each lead’s or customer’s probability to convert.
This predictive signal is sent to ad platforms in real time (≈15 minutes), allowing Google, Meta, or TikTok to optimize before the actual purchase occurs. Scowtt’s model delivers 10x richer data to the bidder and enables value-based bidding weeks earlier than deterministic imports.
The result: Scowtt’s predictive outcomes drive an average 50%+ lift in revenue or efficiency compared to traditional offline conversion imports or audience targeting.
What are “Predictive Outcomes”?
Predictive outcomes are AI-generated conversion values based on real-time data from customers behaviors tracked in your CRM and web pixels.
These values replace regular purchase values used by ad platforms to optimize spend for future revenue, not past clicks
What’s the outcome for Scowtt modeling?
Scowtt optimizes toward the client’s chosen outcome, typically Sales/Purchases. Some industries select other actions such as Application Submit (e.g., in Education).
Measurement & Experimentation
How do you measure incrementality?
Scowtt partners with the customer to run a 50/50 experiment using Google Ads Platform:- Control group: Business as usual on Search or Performance Max.- Scowtt Test group: Same campaign type (e.g., Search) with identical configurations, except for the conversion action.- Goal: Use Scowtt value as the conversion action.
Data Requirements & Onboarding
What does the onboarding process look like?
Onboarding to the Scowtt platform takes approximately 30 days.
- Weeks 1–2: Data onboarding (integrating web and CRM signals).
- Weeks 3–4: Model development and campaign setup.
For a detailed breakdown, please see the Onboarding Steps document.
What are the data requirements?
Scowtt requires web signals + CRM data, merged into a proprietary model.
- CRM needs at least three data points: funnel stage (e.g., booking, showing) and engagement (e.g., call time).
- Full requirements are detailed in the requirements document.
How long until results are visible?
Incremental results typically appear within 2 weeks.
Success Criteria
What impact does Scowtt have on revenue?
Customers using Scowtt typically see 50%–120% increases in incremental revenue, powered by predictive intelligence that enriches ad platform bidders for smarter spend allocation. When AI Sales Agents are used, we see another 30% incremental revenue given the alignment between Sales and Marketing outcomes
What’s success?
Scowtt defines success as driving incremental customer outcomes (e.g., purchases or revenue).