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Taggstar

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"Influences shopping decisions using real-time data."

This company offers tools that help online retailers showcase how popular products are by using live data. They provide social proof by highlighting trends like the number of people buying or viewing, leading to more informed purchasing decisions. By integrating this with websites, retailers can increase customer engagement and conversion rates by influencing buyers’ decisions positively.
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Taggstar's Website Claims...
Our AI found these claims on Taggstar's website.
Market-leading conversion optimization
Taggstar claims that their Social Proof Enterprise Plan provides the ultimate in conversion rate optimization for eCommerce.
Real-time data insights
Taggstar claims that their platform uses real-time data to deliver dynamic shopping experiences that boost conversion rates.
Customizable messaging flexibility
Taggstar claims they offer the widest range of customizable messages to inspire, inform, and convert online shoppers.
BlurbSTAR Case Study
Steve Madden & Taggstar
Boost conversion rates using data-driven social proof messaging.
3.82%
Dolce Vita conversion rate uplift
5.41%
Steve Madden conversion rate uplift
1.
Situation
Challenge of Conversion Rate Optimization
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Steve Madden targets conversion rate improvements.
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Importance of trust and real-time validation.
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Taggstar chosen for social proof capabilities.
Steve Madden and Dolce Vita, renowned footwear brands, consistently sought ways to enhance their growth, conversions, and revenue. The competitive retail landscape and the increasing significance of social validation necessitated innovative approaches. Colleen Waters, VP of eCommerce at Steve Madden, recognized the importance of real-time social proof to boost consumer trust. Leveraging social proof meant allowing consumers to witness live trends and gauge interest levels in styles, thus fostering credibility. Seeing the strategic potential, Steve Madden decided to explore Taggstar's social proof platform to gauge its efficacy and service capabilities. With a clear focus on data-driven decisions, the organization aimed to implement a solution that would directly translate into higher conversion rates and a stronger brand presence.
2.
Task
Pilot Testing Social Proof Messaging
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Conducted initial tests on Dolce Vita.
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Integrated across PLP, PDP, and Basket.
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A/B testing for measurable improvements.
The task at hand was to implement and test Taggstar's social proof messaging on Steve Madden's and Dolce Vita's websites. Initial testing commenced with Dolce Vita, covering 13 message types over 45 days on key pages like Product Listing Page (PLP), Product Detail Page (PDP), and Basket. The experiment's success led to a shorter, yet focused, 19-day test on Steve Madden's site. The objective was to validate the hypothesis that enhanced social proof could drive meaningful conversion rate improvements. The challenge also included ensuring the integration of Taggstar's solution in a way that was seamless yet powerful enough to visibly impact consumer behavior, while providing quantifiable and actionable data through A/B testing.
3.
Action
Implementing Data-Driven Strategies
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Applied comprehensive social proof messaging.
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Tested proven message formats on Steve Madden.
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Utilized A/B testing for clear results.
Taggstar's social proof messaging was applied integrally on the Dolce Vita website, covering the full funnel from the PLP to the basket page. Using standardized messages like 'best seller' and 'units sold', the messaging communicated popularity and interest levels effectively. Upon observing positive outcomes, the team promptly initiated a similar exercise on the Steve Madden site. This involved swift yet comprehensive deployment of proven message formats. A/B testing was crucial here, as it provided concrete evidence of the platform's impact, allowing the Steve Madden team to witness firsthand the data-backed benefits. The agile response and decision-making underscore the adaptation to Taggstar’s innovative social proof solutions.
4.
Result
Significant Conversion Rate Uplift
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Steve Madden saw a 5.41% CVR uplift.
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Dolce Vita increased CVR by 3.82%.
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Planning further rollout and feature expansion.
The results from implementing Taggstar's social proof exceeded expectations, with Steve Madden experiencing a 5.41% uplift in conversion rates and Dolce Vita observing a 3.82% increase. This demonstrated the effectiveness of social proof in positively influencing consumer purchasing decisions. Steve Madden's team, led by Colleen Waters, expressed satisfaction with the approach and its quick, tangible results. Taggstar's data-driven method not only showcased the potential of their platform but also reinforced the importance of social proof in online retail. Moving forward, both Steve Madden and Dolce Vita plan to expand their implementation and explore additional features such as sub-category levels and review data integration.
Keywords
SOCIAL PROOF
CONVERSION RATE OPTIMIZATION
ECOMMERCE STRATEGY
STEVE MADDEN
DOLCE VITA
ONLINE SHOPPING TRENDS
TRUST BUILDING
FOOTWEAR BRANDS
The Blurbs FAQs
Taggstar hasn't answered their category questions yet.
1.
What specific features do you offer for reviews and community engagement (UGC, Q&A, social proof, loyalty integration, etc.)?
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2.
How does your platform collect, manage, and display customer reviews across different channels (website, email, social, retail, etc.)?
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3.
Does your solution support AI-driven review moderation, sentiment analysis, and fake review detection?
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4.
How does your platform integrate with our existing eCommerce and marketing stack (Shopify, Magento, Salesforce, ESP, CDP, loyalty programs, etc.)?
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5.
What level of customization do you offer for review display widgets, social proof messages, and on-site engagement tools?
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6.
Does your platform provide social proof notifications and real-time purchase behavior messaging?
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7.
Do you offer tools for user-generated content (UGC), customer Q&A, or video reviews?
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8.
How does your platform measure the impact of reviews and social proof on conversion rates and customer retention?
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9.
Can your platform automate post-purchase review requests via email, SMS, or in-app messages?
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10.
Can your platform syndicate reviews across third-party marketplaces and retailer websites (Amazon, Walmart, Target, etc.)?
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