Do you know the store count, omnichannel presence & such details about the retail lead you are trying to convert into a customer? Try predictive lead generation.

Whether you sell Omni-channel ERP or logistics solutions, your retail leads will warm up only when you show appreciation for their context.

Context data is more important than contact data. For the first time, PipeCandy predicts the right prospects among retail leads, for what you sell.

Get super-relevant retail leads generated by PipeCandy’s predictive platforms

Popular Examples Of Predictive Lead Generation

Tech Companies Selling Omni-channel Solutions

In the days where traditional retail is being challenged hard by ecommerce, omni-channel presence is a given and yet your data provider won’t tell you which retailer has presence in which channels and how they are doing.

PipeCandy analyzes omni-channel presence, wholesale / retail / subscription / loyalty business models, so that your sales outreach is well informed.

Warehousing companies selling to retailers

A retailer with a single store is less likely to be a good fit for a logistics company with warehouses that are distributed nationally. A chain store on the other hand would be a better fit. Even better, if the retailer is merging inventory that serves the store and direct channels.

PipeCandy gives you materially significant insights for your sales teams at an unbeatable return on your investments.

What's your story?

We are rapidly extending our ability to serve you with new insights about retailers. We are partnering with specialist data providers to deliver insights that have never been within the reach of sales reps.

Tell us what your need is and we will build custom analytical models to predict retail leads that are most likely to buy from you.

What data & insights do you get from PipeCandy for your account based marketing campaigns?

Firmographic Data icon

Firmographic Data

Name of the company, Company URL, Founding Year, Employee Count, Revenue, Industry, Contact Phone number and other such information (where applicable) about the company.

People Data icon

People Data

Name, Title and Business Email IDs of decision makers. Where available, PipeCandy might provide details of decision makers that seem relevant to the products / offerings being sold.

Retail Business Insights

Ecommerce Revenue Model icon

Ecommerce Revenue Model

Revenue of Retail companies estimated as a range value (Ex: $10M – $15M). The web revenue estimates are based on industry benchmarks of conversion, Average Order Value etc.

Online Stats Model icon

Online Stats Model

Statistics of both web and mobile web engagement for retailers: Typical metrics include page views, unique visitors, visits by countries of origin of traffic, web vs. mobile web split etc.

Business Insights Model icon

Business Insights Model

PipeCandy discovers the business model of the retailers. Some examples: Marketplace vs. Independent Retailer, Fixed Price vs. Auction, Regional vs. Global reach.

Omni-channel Insights Model icon

Omni-channel Insights Model

Which channels does the retailer sell through? Mobile, Web, Offline Stores, Marketplaces, Wholesales portal etc. could be those channels. PipeCandy tracks them down for you.

Delivery Insights Model icon

Delivery Insights Model

Do they sell in the store or do they follow ‘Guide Shop’ model? Do they have their own warehouse or do they rely on fulfillment partners (custom model)? PipeCandy has these answers.

Target Insights Model icon

Target Insights Model

Find a retail lead / ecommerce lead based on the SKUs they sell, Shopper Profiles, Product Assortment positioning (Premium vs. Mass-market).

Customer Engagement Insights Model icon

Customer Engagement Insights Model

Find out if the retail lead has loyalty programs or membership initiatives, if such customer engagement strategies are relevant data points for your sales outreach.

Technology Insights Model icon

Technology Insights Model

Classify Retail leads by the technologies they use: ERP Software, CRM Software, Inventory Management Software, Warehouse Management Software etc.

Feature Insights Model icon

Feature Insights Model

Presence or absence of a feature in the ecommerce website of a retailer tells you a lot about the retail lead that you are pursuing. Track presence of faceted search, collaborative filtering & many such features.

Fulfillment Insights Model icon

Fulfillment Insights Model

Who is your retail lead shipping with and what are their shipping policies? What shipping APIs are they using already? Find out before you pitch your shipping tech or services.

Custom Models

Need Insights that are not covered here? Tell us and we will build custom models for insights that you need for your sales initiatives.

Retail Leads – Categories

Automotive & Vehicles icon

Automotive & Vehicles

Home Furnishings and Furniture icon

Home Furnishings and Furniture

Food & Beverage icon

Food & Beverage

Health & Fitness icon

Health & Fitness

Style & Fashion icon

Style & Fashion

Florists icon


Adult icon


Art, Craft and Collectibles icon

Art, Craft and Collectibles

Art, Entertainment and Recreation icon

Art, Entertainment and Recreation

Business and Industrial icon

Business and Industrial

Children, Family and Parenting icon

Children, Family and Parenting

Civic and Social Organizations icon

Civic and Social Organizations

Classifieds and Coupons icon

Classifieds and Coupons

Education icon


Hobbies and Interests icon

Hobbies and Interests

Hospitality and Accommodation icon

Hospitality and Accommodation

Law, Government and Politics icon

Law, Government and Politics

Media and Publications icon

Media and Publications

Medical and Wellness icon

Medical and Wellness

Pets and Pet Supplies icon

Pets and Pet Supplies

Professional and Technical Services icon

Professional and Technical Services

Real Estate, Rentals and Leasing icon

Real Estate, Rentals and Leasing

Religion and Spirituality icon

Religion and Spirituality

Science icon


Stationery and Office Products icon

Stationery and Office Products

Technology and Computing icon

Technology and Computing

Tobacco and other legal drugs icon

Tobacco and other legal drugs

Travel and Transportation icon

Travel and Transportation