Marketing

Enhance Sales With Lead Generation & Qualification Using AutoAI

Harness the power of AutoAI for dynamic lead generation and efficient qualification. Support your sales and conversion efforts using RapidCanvas.

The Struggle to Generate Quality Leads

Without AI, lead generation typically requires extensive manual efforts across multiple channels like cold calling, events, referrals, ads and content. This makes it hard to scale lead gen, drive conversions and reduce costs.
Low Lead Volume
Manual outreach limits how many prospects you can engage.
Poor Lead Quality
It's hard to identify and qualify ideal customer profiles.
Slow Lead Response
Following up with every lead is time-consuming.
Low Conversion Rates
Leads lack proper nurturing and sales alignment.
High Cost per Lead
Manual processes are expensive to scale.

How RapidCanvas AI Solution Works

Our AI lead generation platform streamlines and automates the entire process end-to-end

Data Ingestion

Collect website interactions, forms, surveys, and CRM data.
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Feature Engineering

Extract relevant information like names, contacts, interests, pain points from the data
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Lead Scoring Model

Train a model to predict conversion probability based on extracted features.
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Sentiment Analysis

Analyze conversation data (chat, calls) to assess emotions and buying intent.
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Buying Stage Prediction

Classify leads as MQLs or SQLs based on engagement level and buying signals extracted from data and conversations.
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The Results You Can Expect

RapidCanvas AI solution for lead generation creates a high-performance inbound engine for your business
More Leads
Helps identify 10x more prospects than manual efforts.
Higher conversions
Lead qualification and nurturing improves sales conversion rates.
Lower costs
Automation reduces the cost per lead by up to 60%.
Higher ROI
You get far more prospects and revenue from your marketing spend.

Some of our results

Hear from Our  Customers

“RapidCanvas has helped us realize our vision of integrating AI into our demand prediction and inventory management processes. The transition from spreadsheet-based models to RapidCanvas's sophisticated AI model has been a game-changer. We've seen a 35% improvement in operational efficiency and a 50% reduction in time spent on manual adjustments.
Arthur Strommer
Vice President, MTE-THOMSON

The Struggle to Generate Quality Leads

Low Lead Volume
Poor Lead Quality
Slow Lead Response
Low Conversion Rates
High Cost per Lead
Low Lead Volume - Lead generation
Poor Lead Quality - Lead generation
Slow Lead Response - Lead generation
Low Conversion Rates - Lead generation
High Cost per Lead - Lead generation
Low Lead Volume - Lead generation
Poor Lead Quality - Lead generation
Slow Lead Response - Lead generation
Low Conversion Rates - Lead generation
High Cost per Lead - Lead generation
Low Lead Volume - Lead generation
Poor Lead Quality - Lead generation
Slow Lead Response - Lead generation
Low Conversion Rates - Lead generation
High Cost per Lead - Lead generation
Low Lead Volume - Lead generation
Poor Lead Quality - Lead generation
Slow Lead Response - Lead generation
Low Conversion Rates - Lead generation
High Cost per Lead - Lead generation
Low Lead Volume - Lead generation
Poor Lead Quality - Lead generation
Slow Lead Response - Lead generation
Low Conversion Rates - Lead generation
High Cost per Lead - Lead generation

Why customers choose RapidCanvas for AI for lead generation and qualification

See Rapid Time-To-Value
Address unique business needs without starting from scratch; state your business problem and the AutoAI discovery process will generate a matching AI solution within hours.
Build Expert-Led AI
Leverage the industry knowledge of data science experts, as required, to validate against industry benchmarks and ensure optimal AI solution performance
Access Actionable Business Insights
Create visual, interactive data apps, dashboards and reports to showcase business KPIs and outcomes, and monitor business performance
Use An End-To-End AI Solution
Achieve an end-to-end AI solution with an out-of-the-box setup for all steps from data orchestration, data preparation, transformations, model building and testing, through to model deployment and data apps