This company helps you make effective landing pages quickly. You can test different versions, generate content automatically, and add features like popups. No need to code.
Tripled sales at half cost using Unbounce landing pages.
136,541
People reached by initial Facebook Offers campaign.
50%
Reduction in ad spend while driving 200% more sales.
1.
Situation
New Balance Chicago wanted to drive in-store sales but could not use New Balance's main website because their stores operate independently. They needed a way to capture emails and drive those leads to their stores.
2.
Task
The goal was to develop an online marketing strategy that would generate leads and convert them into in-store sales. The plan included capturing email addresses through online ads and landing pages, then nurturing those leads with targeted email campaigns.
3.
Action
MatchNode agency used Unbounce to create mobile-responsive landing pages that collected email addresses in exchange for discounts. These landing pages were then tied into email marketing platforms like Mailchimp and Constant Contact for segmented, targeted email campaigns. They shifted from Facebook Offers to traditional Facebook ads integrated with Unbounce pages to optimize for conversions.
4.
Result
The strategy generated 200% more sales while spending 50% less compared to previous campaigns using Facebook Offers. Additionally, the email list grew by more than 10% in just two months, and open rates for follow-up emails were 5-10% higher than usual.
Keywords
LANDING PAGES
MOBILE-RESPONSIVE
EMAIL MARKETING
IN-STORE SALES
ONLINE MARKETING
DISCOUNT CODES
LEAD GENERATION
CONVERSION OPTIMIZATION
The Blurbs FAQs
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1.
What types of personalization does your platform support (real-time, AI-driven, rule-based, predictive, etc.)?
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2.
How does your platform collect and utilize first-party data for personalization?
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3.
What types of user behavior can your platform track and personalize (browsing history, purchase intent, geolocation, past purchases, etc.)?
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4.
Does your platform support A/B testing, multivariate testing, and AI-driven experimentation?
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5.
How does your platform integrate with our existing tech stack (eCommerce platform, CDP, CRM, ESP, analytics tools, etc.)?
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6.
Can your platform personalize website elements such as product recommendations, dynamic banners, CTAs, and pricing?
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7.
How does your platform handle real-time personalization, and what is the speed of data processing?
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8.
What level of reporting and insights does your platform provide to measure personalization impact?
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9.
Can we segment users dynamically based on real-time behavior and customer lifecycle stage?
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10.
Do you provide AI-driven predictive personalization for product recommendations and content?
