How Sneak Energy Transformed Community Data into Business Strategy — Levellr
Case Study — Consumer / D2C

How Sneak Energy Transformed Community Data into Business Strategy with Levellr

Client Sneak Energy
Industry Food & Beverage / D2C
Headline result +82.6% new user engagement
+82.6%
Increase in engagement
among new joiners
+65.8%
YoY uplift in
engaged users
+30%
Increase in total
engagement volume
1.5 hrs
Reclaimed per week from
manual reporting
At a Glance

Sneak Energy has cultivated one of the most vibrant communities in the energy drink space. However, Discord's slow, limited analytics held them back from driving real-time action. By partnering with Levellr, Sneak moved from manual spreadsheets to real-time community intelligence that changed how they operate across the business.

⚡ Key Outcomes

65.8% YoY uplift in engaged users by identifying high-performing conversations and amplifying them in real time

Faster operational decision-making by spotting shipping issues early and adjusting delivery windows ahead of Black Friday to prevent customer frustration

Community-guided product planning with real-time flavour and formulation feedback informing Sneak's 2026 roadmap — prioritising Hydrate options and reducing citrus-heavy releases

Measurable lift in sentiment and engagement volume, including a 5% rise in positive sentiment and a 30% increase in total engagement driven by quicker identification and resolution of negative trends

The Challenge: The Data Lag

For a brand built on rapid engagement cycles and real-time conversation, speed is everything. However, the Sneak team faced a significant hurdle: Discord's native analytics provided insights with a multi-day lag.

This delay made it impossible to act swiftly. By the time a report was generated, the conversation had moved on. The workflow was manual and reactive:

The "Cobbled" Stack

The team relied on exporting incomplete insights from Discord and running them through complex manual spreadsheets.

The Time Sink

The team lost roughly 2.5 hours per week to manual data extraction and reporting.

The Blind Spot

Generating a sentiment report took nearly 3 days. By the time insight landed, a negative trend had already compounded or an engagement opportunity had passed.

"Insights updated with a multi-day lag, which is fundamentally misaligned with a platform built on real-time conversation. This delay limited our ability to act swiftly and make informed, data-driven decisions."

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The Solution: From Instinct to Real-Time Intelligence

Levellr replaced manual guesswork with real-time analytics. The shift wasn't just about saving time — though they reclaimed 1.5 hours of focus time per week. It was about gaining a capability that simply didn't exist before: the ability to ask structured questions about their community and get cited, trustworthy answers instantly, rather than waiting days for a manually assembled report that was already out of date.

What changed immediately:

Instant Social Listening

Instead of waiting days to gauge the mood, the team can now query sentiment instantly — surfacing what the community thinks in real time rather than in retrospect.

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Granular Topic Tracking

Specific topics — flavour reactions, shipping experiences, launch cadence — can be tracked in seconds using Levellr's keyword monitoring and AI-enriched conversation clustering.

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1.5 Hours Reclaimed Per Week

Time previously spent mining for insights is now spent acting on them — focus on strategy instead of spreadsheet upkeep.

"Our sentiment tracking was almost entirely qualitative, built on anecdotal insights and pure instinct. Levellr's Social Listening panel has transformed that process."

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The Impact: Connecting Community to Business Operations

The true power of Levellr lay in how Sneak used these insights to influence the wider business — specifically in Operations and Product Development. Community intelligence that previously lived inside a Discord server started reaching the teams that could actually act on it.

Operations

1. Saving Black Friday

Using Levellr's sentiment tracking, the team detected a spike in negative chatter around shipping. The data showed clearly that the community preferred realistic delivery estimates over ambitious promises that couriers couldn't meet.

The Action These insights were escalated to Ops and Customer Service with cited community data to back the recommendation.
The Result The business proactively revised delivery windows ahead of Black Friday. Customer frustration was prevented before their peak trading season, reducing churn risk and reputational damage.
Product

2. Shaping the 2026 Roadmap

Sneak is now using Levellr to build their product roadmap. By analysing feedback on current formulations — too many citrus flavours, strong demand for more Hydrate options — the community is directly influencing product development.

This is the shift Levellr makes possible: community insight moves from being a support function to becoming a source of decision-grade intelligence that the whole business can act on.

The Results: Supercharged Engagement

Since implementing Levellr, Sneak Energy has seen significant year-on-year improvements across the metrics that matter most to community health and retention:

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+82.6%
New User Activation

Increase in engagement among new joiners — identifying what was working and scaling it.

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+65.8%
Retention

Increase in engaged users year-on-year.

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+30%
Volume

Increase in total engagement volume across the community.

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+5%
Sentiment

A lift from 38% to 40% positive sentiment, driven by spotting and resolving negative drivers quickly.

The Verdict

"Instead of relying on a weekly report that was already outdated by the time it landed, we now have real-time visibility that fundamentally changes how we work."

Ready to turn your community data into action?

Join Sneak Energy and other leading brands using Levellr to turn Discord conversations into trusted, actionable intelligence.

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