Customer Story

    How Spiral Interactive Boosted Player Retention and Cut Losses Using ClarityQ's AI Agent

    Spiral InteractiveSpiral Interactive
    ×ClarityQ

    A social casino gaming studio with 3M+ players turned to ClarityQ to decode player lifetime value, reduce churn, and make faster data-driven decisions - without writing a single SQL query.

    "Through ClarityQ, we discovered that after the 4th purchase, player retention jumps to 75-80%. That insight alone reshaped our entire offer strategy and bonus plan."
    Mark, Head of Business AnalysisSpiral Interactive
    ~3 hrs
    From first question to actionable insight - previously days of manual SQL work
    📈
    50%
    Improvement in second-purchase conversion rate after ClarityQ-driven actions
    👥
    Multiple users
    Expanded from 1 analyst to team-wide adoption across analytics, product & marketing

    Spiral Interactive, the Israel-based studio behind Gambino Slots and additional successful games, needed a way to quickly identify what makes a player valuable - and act on it before the opportunity is lost. Just as critically, they needed to stop investing in players who would never generate returns and could even cause net losses. With ClarityQ's AI agent, which they internally named Clara, their analytics team went from days-long SQL investigations to conversational, instant analysis that the entire team could use. The result: sharper player segmentation, smarter bonus strategies, and a measurable lift in conversion - all driven by asking questions in plain language.

    The Challenge

    Identifying What Makes a Player Worth Hundreds of Dollars

    In the social casino industry, acquiring a single player can cost hundreds of dollars in CPA. The business lives or dies by its ability to distinguish high-value players from those who drain bonuses and leave.

    Implementation

    From Onboarding to Daily Analysis in Weeks

    ClarityQ connected directly to Spiral's data infrastructure and built a semantic layer on top of their player, purchase, and event data. The team named their ClarityQ agent "Clara" - and she quickly became a core part of daily operations.

    Week 1-2
    Data Connection & Context Understanding
    ClarityQ connected to Spiral's data warehouse and mapped core tables - players, transactions, sessions, bonuses, and events. Business logic (LTV calculations, player segments, cohort definitions) was codified into ClarityQ's semantic catalog so "Clara" could understand the business context behind every query.
    Week 3
    First Analyst Onboarded
    Mark, the Head of Business Analysis, began asking "Clara" questions in natural language - starting with player LTV by first-purchase day. The speed of getting structured, visual answers with full SQL transparency built immediate trust. Mark then fine-tuned Clara's accuracy through ClarityQ's human-in-the-loop process, transferring years of tribal knowledge - business rules, edge cases, and domain nuances - directly into the agent. The result was an AI analyst that didn't just query data, but truly understood Spiral's business.
    Week 4-6
    Team Expansion
    Beyond the analytics team, managers, product leads, and marketing professionals began using ClarityQ directly - asking their own questions and getting instant answers without filing requests to the data team. This dramatically reduced the overload on analysts while giving every stakeholder on-demand access to the insights they needed, exactly when they needed them.
    Ongoing
    Operational Integration
    "Clara" became the go-to tool for validating business actions. The team uses it daily to analyze player lifetime value by cohort, identify behavioral signals that predict high-value users, evaluate the impact of new offers and bonuses on conversion rates, and monitor how changes in segmentation strategies affect retention - all through natural conversation, with visual results in minutes.
    The Discovery

    Cracking the Code on Player Value

    In the social casino business, player acquisition can cost hundreds of dollars per user. The critical question isn't just how many players you acquire - it's whether those players will generate enough value to justify the investment. Some players become loyal, long-term contributors to the business. Others collect bonuses and leave - creating a net loss. Spiral needed to tell them apart, fast.

    The Purchase Funnel: Why the 4th Purchase Changes Everything

    Perhaps the most operationally impactful finding was about the purchase funnel. Spiral discovered through ClarityQ that after a player's first purchase, 80% of them never come back for a second. It's a massive drop-off - and at those rates, sustaining a business is extremely difficult. But ClarityQ also revealed a critical threshold: once a player reaches their 4th purchase, retention jumps to 75-80%. The path from purchase one to purchase four is where the entire business outcome is decided.

    Armed with this insight, Spiral restructured their bonus and offer strategy to better support players through the first four purchases, in order to push players past the critical drop-off points. The second-purchase conversion rate improved by 50%, and the team continues to optimize this funnel every week.

    Cutting Losses on Low-Value Players

    The flip side was equally important. ClarityQ helped Spiral identify players who are not just low-value, but actively harmful to the business - players who exploit bonuses and contribute nothing back. By building a clearer profile of these segments, Spiral now calibrates bonus levels per player type: generous offers for players with high potential, reduced exposure for those likely to drain resources. The result is a smarter, leaner operation where every dollar spent on acquisition, engagement and retention is targeted where it matters most.

    From Insight to Action, Continuously

    What makes the ClarityQ implementation at Spiral particularly powerful is the feedback loop. Every time the team makes an operational change - a new offer, a revised bonus structure, a segmentation tweak - they go back to ClarityQ to measure the impact. Did the offer work? Which segments responded? What should we try next? These questions get answered in minutes with clear visualizations and contextual explanations, allowing Spiral to iterate faster than ever before.

    ClarityQ in Action

    Some of the Key Questions Behind the Insights

    Below are representative questions from Spiral's daily work with ClarityQ. Each shows the speed, depth, and richness of Clara's analysis pipeline.

    1
    "How many purchases does it take for a player to become 'sticky'? Where is the biggest drop-off in the purchase funnel?"
    ~40s
    Time to Answer
    2
    Follow-up Questions
    5
    Elements in Answer
    Funnel Analysis2 Data TablesSQL GeneratedFunnel VisualizationRetention ThresholdBonus Optimization Plan
    Results

    Measurable Impact on the Business

    The insights ClarityQ surfaced didn't sit in a dashboard - they drove immediate, measurable changes across Spiral's operations:

    2nd-purchase conversion
    50% ↑
    Improvement in the most critical funnel step, driven by targeted offer restructuring
    Time-to-insight
    Days
    Minutes
    Ad-hoc analysis that used to require SQL expertise now happens conversationally
    Analytical capacity
    1 analyst
    Full team
    Product, marketing and ops team members now run independent analyses daily
    Player segmentation
    Manual
    AI-driven
    ClarityQ identifies behavioral signals humans hadn't considered

    The relationship continues to deepen as Spiral leverages ClarityQ not just for reactive analysis, but as a proactive strategic partner in their daily decision-making.

    "Every action we take now, we validate through Clara. She tells us if an offer worked, which segments responded, and what to try next - all in minutes. We can't imagine going back to the old way."
    - Mark, Head of Business Analysis, Spiral Interactive

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