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Case Study

Empowering a Leading American Memorabilia Manufacturer with Analytics-Driven BI and Engagement

A memorabilia manufacturer serving schools across the U.S. relied on manual reports to understand students, parents and schools. iSIP pulled social, review and school feedback into one BI platform with sentiment analysis, demand forecasting and AI recommendations.

Engagement at a glance
Client
American manufacturer of yearbooks, class rings and graduation keepsakes
Industry
Consumer products and education
Solution
ITHENA Social Intelligence Platform (iSIP)
Scope
Unified feedback, NLP sentiment, seasonal demand insights, AI recommendations
Headline result
37% less manual reporting
Opportunity for impact

Three numbers the insight team moved.

Results after moving from traditional reporting to iSIP.

37%

Reduction in manual reporting and analysis efforts

Feedback from social platforms, reviews and schools landed in one live BI dashboard.

34%

Faster identification of customer sentiment and operational issues

NLP flagged problems with yearbook tools, ring customisation and delivery as they appeared.

32%

Improvement in campaign and school engagement

School-level engagement and seasonal demand insights shaped campaigns and outreach.

About the client

Meet the organization and understand the context behind the transformation.

A leading American memorabilia manufacturer specializing in yearbooks, class rings, and graduation keepsakes for schools across the United States. Seeking to modernize its decision-making processes, the organization partnered with ITHENA to transition from traditional reporting systems to an analytics-driven business intelligence platform powered by iSIP. The result was a unified intelligence system that delivered real-time customer sentiment analysis, school-level engagement insights, demand forecasting, and AI-driven recommendations, enabling faster decisions, improved product experiences, and stronger school relationships.

In their words
ITHENA’s iSIP platform transformed how we understand student and school engagement. The real-time insights and AI-driven recommendations helped us improve our product experience, respond faster to customer needs, and make far more informed business decisions across our operations.

– Head of Digital Strategy, Customer Experience & Analytics
Key challenges faced

Feedback everywhere, insight nowhere.

Customer sentiment sat across social media, reviews and school interactions, and reporting was manual.

  • Limited visibility into real-time customer sentiment across students, parents, and school stakeholders
  • Inability to consolidate feedback from social platforms, reviews, and school-level interactions into a unified intelligence system
  • Delayed identification of issues related to yearbook creation tools, class ring customization, and order fulfillment
  • Heavy reliance on manual reporting processes that slowed decision-making and reduced operational efficiency
  • Limited ability to benchmark performance against competitors in the educational memorabilia market
Our solution

How ITHENA closed the gaps.

ITHENA’s Social Intelligence Platform (iSIP) solution empowered the client with:

Unified Customer & Market Intelligence

Centralize student, parent, and school-related feedback, along with social mentions, reviews, and digital interactions, into a real-time BI dashboard for complete visibility across all customer touchpoints

NLP-Driven Sentiment & Experience Analysis

Applied AI and NLP to analyze sentiment across yearbook and class ring experiences, identifying key drivers of satisfaction and dissatisfaction such as customization experience, delivery timelines, and product quality

Demand & Seasonal Intelligence

Delivered seasonal engagement insights around graduation cycles, allowing for regional and school-level demand forecasting for yearbooks and class rings

Competitive & Market Intelligence

Provided benchmarking against competitors in the memorabilia and school services space, along with AI-generated insights on positioning, pricing perception, and customer preference trends

Agentic AI Recommendations

Provided real-time, actionable CRM and BI-integrated recommendations for marketing, outreach, support, and operations

Inside the console

Sentiment spikes, caught the week they start.

An illustrative iSIP view: negative mentions are tracked against an alert level, and every spike is traced to a cause and sent to an owner.

isip.ithena.app/sentiment/graduation-season
iiSIP ListeningSentimentSchoolsCampaigns 3 OP
Sentiment/Yearbooks and rings/Graduation season
Weekly sentiment, graduation season2 spikes flagged
ALERT LEVEL Wk 1Wk 6Wk 12
Positive shareNegative mentionsOrder volumeSpike, owner notified
Listening across social, reviews and school feedback · 09:41:07
Season to dateLive
37%Manual reporting effort, down
34%Faster issue detection
32%School engagement, up
12,480Mentions analysed
What drove negative mentions, share
Delivery timing31%
Ring customisation24%
Yearbook editor19%
Pricing11%
Support wait6%
AI recommendations4 new
Spike: yearbook editor upload errors, 3 states8m
Extend ring order cutoff by 5 days in affected districts15m
Engagement up at 41 school districts this week1h
Senior portrait campaign beating its target2h
Weekly digest sent to the product team3h

Illustrative view. Unit names, counts, shares and activity are examples; the headline results are the client's.

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