Loyalty Builders Overview

Loyalty Builders provides e-commerce businesses with predictive customer analytics tailored for retail marketing. It focuses on enhancing customer engagement through data-driven insights. Companies can apply these analytics to identify purchasing patterns and forecast customer behavior, helping teams develop targeted and personalized marketing campaigns. This approach supports businesses in refining their strategies to improve customer retention and increase sales. A notable example is its use by a Head of Analytics at a major marketing services provider, illustrating its practical application in real-world settings.

Use Cases

Customers recommend Campaign Management, Customise Loyalty Program, Identify Target Customers, as the business use cases that they have been most satisfied with while using Loyalty Builders.

Other use cases:

  • Personalized Marketing
  • Cross Selling
  • Lifetime Value Management
  • Products & Pricelist Management
  • Competitive Intelligence
  • Communication Management
  • Track Program Performance
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Business Priorities

Enhance Customer Relationships and Increase Sales & Revenue are the most popular business priorities that customers and associates have achieved using Loyalty Builders.

Other priorities:

  • Acquire Customers
  • Improve ROI
  • Increase Customer Life Time Value
  • Grow Market Share
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Loyalty Builders Use-Cases and Business Priorities: Customer Satisfaction Data

Loyalty Builders works with different mediums / channels such as Promotions. and E-Mail.

Loyalty Builders's features include Personalization, and Predictive Analytics. and Loyalty Builders support capabilities include AI Powered, 24/7 Support, Email Support, etc. also Loyalty Builders analytics capabilities include Custom Reports, and Analytics.

Loyalty Builders, belong to a category of solutions that help E-Commerce Software. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.

Loyalty Builders automates personalized product recommendations and lifecycle offers across all channels. It predicts customer behavior to reduce churn and increase revenue.

Comprehensive Insights on Loyalty Builders Use Cases

What Are the key features of Loyalty Builders for Campaign Management?

What Are the key features of Loyalty Builders for Customise Loyalty Program?

How does Loyalty Builders facilitate Personalized Marketing?

How does Loyalty Builders facilitate Cross Selling?

16+ more Business Use Cases

11 buyers and buying teams have used Cuspera to assess how well Loyalty Builders solved their E-Commerce Software needs. Cuspera uses 289 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific E-Commerce Software needs.

Case Studies

Retail

CASE STUDY Health products retailer

Loyalty Builders helped a health products retailer improve catalog marketing. The retailer struggled to target the right customers and had limited analytics resources. Loyalty Builders used predictiv...e analytics to find 57,000 profitable customers missed by the old method. One campaign brought in $242,000 extra revenue. Over 10 campaigns, the retailer added $2.9 million in revenue while cutting costs.

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Retail

CASE STUDY E-commerce retailer of herbal medicines and nutrition supplements

Loyalty Builders helped an e-commerce retailer of herbal medicines and nutrition supplements boost revenue with personalized email campaigns. The retailer wanted more website traffic and to increase ...product variety per order. Loyalty Builders used predictive analytics to personalize emails with three products each customer was most likely to buy. Over six campaigns, the average revenue lift was $0.43 per email, totaling nearly $315,000 more than static emails. Projected annual revenue increase is about $2.6 million with this approach.

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Automotive

CASE STUDY Sullivan Tire

Loyalty Builders helped Sullivan Tire use predictive analytics and customer data to personalize direct mail campaigns. The goal was to win back underperforming customers and encourage repeat purchase...s from one-time buyers. The campaign used variable data postcards with targeted coupons based on each customer's risk score and loyalty rank. Sullivan Tire saw average revenue per buyer grow by over $200. The average service ticket included two more items per visit. The number of underperforming customers dropped, and median revenue at all upper loyalty ranks increased.

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Consumer Goods

CASE STUDY Consumer products retailer (membership organization)

Loyalty Builders used predictive analytics to help a consumer products retailer boost revenue. The company wanted to increase sales from its retail partners. Before, they sent static emails to 500,00...0 customers. Loyalty Builders made personalized product recommendations for six email campaigns. Each campaign reached about 170,000 customers, with a control group of 255,000. The new approach raised shipping revenue from $0.29 to $1.19 per email. The total revenue lift was $1.23 million across six campaigns.

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Consumer Goods

CASE STUDY CPG/E-commerce company

Loyalty Builders helped a CPG and e-commerce company boost revenue with personalized email campaigns. The company wanted to increase e-commerce sales by sending customized offers based on product rec...ommendations. Over 800,000 emails were sent, with 250,000 in a control group. The personalized emails generated 3 to 4 times more revenue than standard emails. One campaign delivered a $490,000 revenue uplift.

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Retail

CASE STUDY B2C specialty e-tailer

Loyalty Builders helped a B2C specialty e-tailer improve direct mail campaign results. The company wanted to target the right customers for 30-50 products each month but was unsure of their approach.... Loyalty Builders used predictive analytics to find the best customers for 10 product groups, even with last-minute changes. The solution found thousands of new customers to target. Campaign profitability increased by an average of 66% over control groups.

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lightning

Peers used Loyalty Builders for campaign management and customise loyalty program

Loyalty Builders Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

4.28/5 ★

Read Reviews (20)
Custom Reports

4.32/5 ★

Read Reviews (40)
Analytics

4.20/5 ★

Read Reviews (27)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

4.28/5 ★

Read Reviews (20)
Custom Reports

4.32/5 ★

Read Reviews (40)
Analytics

4.20/5 ★

Read Reviews (27)

Software Failure Risk Guidance

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for Loyalty Builders

Overall Risk Meter

Low Medium High

Top Failure Risks for Loyalty Builders

Loyalty Builders, Inc. Profile

Company Name

Loyalty Builders, Inc.

Company Website

https://www.loyaltybuilders.com/

HQ Location

Portsmouth, New Hampshire, United States

Employees

11-50

Social

Linkedin Twitter

Financials

SERIES A