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.


This is hyper-customized lead generation powered by algorithms that you will experience nowhere else!


Popular Stories 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.


Funding Data icon

Funding Data

Where available, PipeCandy provides information about the latest and past funding rounds and funding value for the companies in its database.


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


Motor vehicle and parts dealers icon

Motor vehicle and parts dealers


Furniture and home furnishings stores icon

Furniture and home furnishings stores


Electronics and appliance stores icon

Electronics and appliance stores


Building material and garden equipment & supplies dealers icon

Building material and garden equipment & supplies dealers


Food and beverage stores icon

Food and beverage stores


Health and personal care stores icon

Health and personal care stores


Gasoline stations icon

Gasoline stations


Clothing and clothing accessories stores icon

Clothing and clothing accessories stores


Sporting goods, hobby, musical instrument and book stores icon

Sporting goods, hobby, musical instrument and book stores




Nonstore retailers icon

Nonstore retailers