The way to get 5x more engagement from your ecommerce leads is predictive lead generation

Whether you sell omni-channel ERP or logistics solutions – the decision makers in the ecommerce companies trust you 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 ecommerce companies for what you sell.


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


Popular Examples Of Predictive Lead Generation


Logistics companies selling to ecommerce companies

An upstart ecommerce company with fast growing traffic, a big jump in SKU count and shipping from its own facility will soon look for logistics and fulfillment partners.

PipeCandy is tracking the underlying business metrics of ecommerce leads on behalf of a fast-growing fulfillment company which reaches out one-to-one to those ecommerce companies that are ready.


Tech companies selling to ecommerce companies

If an ecommerce company has healthy revenue every month and are already investing in marketing technologies & have SKUs that are high priced, a good search and recommendation product can improve top line by over 50%.

PipeCandy is helping a search tool maker build ecommerce lead lists with prospects that have the right conditions for a sale to happen.


Merchants selling to ecommerce companies

You have baseball caps to sell. It’s not enough that you find ecommerce companies that have good revenue and traffic momentum. You also need to know who sells hats and caps or, better yet, who stocks your competitors’ products. Wouldn’t these make your lead prospecting endeavors more successful?

PipeCandy is getting an art seller the right ecommerce leads that sell art at scale. Their sales metrics graph is moving up & to the right!


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


<a href='https://pipecandy.com/list-of-ecommerce-companies-in-usa/' class='razzmatazz-red-text'>Firmographic Data</a> 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.

Business Insights on Ecommerce Leads


Ecommerce Revenue Model icon

Ecommerce Revenue Model

Revenue of ecommerce companies estimated as a range value (Ex: $10M – $15M). The 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: 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

Segmentation of retail and ecommerce leads based on business models. Some examples: Marketplace vs. Independent Retailer, Fixed Price vs. Auction, Regional vs. Global reach etc.


Omni-channel Insights Model icon

Omni-channel Insights Model

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


Delivery Insights Model icon

Delivery Insights Model

Are they inventory-led or are they doing drop-shipments? 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 your ecommerce leads have 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 & ecommerce leads by the technologies they use: Ecommerce Platform Tech, Web Engagement & Analytics Tech, Ad Tech, Personalization Tech, Shipping API tech.


Feature Insights Model icon

Feature Insights Model

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


Fulfillment Insights Model icon

Fulfillment Insights Model

Who are your ecommerce leads shipping with and what are their shipping policies? What shipping APIs are they using already? Gain such crucial insights 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.


Technologies Tracked

522

Technologies Tracked

38

Different kinds of technologies

Go beyond the data you get from the likes of BuiltWith or Datanyze. Build prediction models on top of technology usage data & go after the leads that are ripe for conversion!