BricqsBricqs
Analytics & Insights

Measure engagement that drives real outcomes.

Turn raw engagement data into actionable insight with campaign analytics, retention cohorts, funnel breakdowns, and performance dashboards. Understand which mechanics drive participation, where users drop off, and how engagement translates to business results.

An analytics platform purpose-built for engagement programs — connecting participation data, campaign mechanics, and business outcomes in one view so teams optimize with evidence instead of intuition.

bricqs.co/analytics-insights
Participation metrics
94%
Retention tracking
12.4k
Campaign analytics
847
Recent Activity
Data collected
Trend detected
Alert triggered
Report sent
Progression
75%
Data coverage
Conversion Funnel
Viewed
10.2k
Started
7.2k
Completed
4.8k
Converted
2.1k

How analytics & insights works

From raw engagement events to business insight in a continuous measurement loop.

MCampaign eventUUser interactionRReward claimSSession dataAPIStream →847events/hr
1

Collect Engagement Data

Every campaign interaction, quiz completion, reward claim, and progression event flows into a unified analytics pipeline. Data is structured, enriched with context (source, segment, campaign), and available for analysis within seconds.

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2

Analyze & Segment

Break down participation by campaign, mechanic, cohort, and time window. Track completion rates, retention curves, and funnel drop-offs across every engagement surface — from first impression to final conversion.

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3

Act on Insights

Use dashboards, alerts, and exported data to make optimization decisions. Identify winning mechanics, diagnose drop-off points, and measure the business impact of engagement programs — then feed insights back into campaign design.

Without this engine

Why traditional approaches fail

These are the patterns teams hit when they try to build engagement without a purpose-built engine.

Teams cannot connect engagement metrics to business outcomes — campaign reports show participation numbers but not whether those participants converted, retained, or generated revenue.
Reporting is fragmented across campaign tools, product analytics, and CRM systems — building a complete picture of engagement impact requires manual data stitching across multiple dashboards.
Drop-off root causes remain unclear because analytics show where users leave but not why — was the quiz too long, the reward too small, the form too intrusive, or the timing wrong?
Stakeholders lack real-time visibility into campaign health — operators discover underperforming campaigns days after launch instead of hours, wasting budget and missing optimization windows.
!Optimization decisions are made on incomplete data because engagement analytics and business metrics live in different systems with different time windows and attribution models.

How Bricqs solves it

Four capabilities that replace fragmented tools with a unified engagement engine.

01

Participation metrics

Track engagement volume, completion rates, and quality by campaign, mechanic, surface, and source — all in real time. See not just how many people participated, but how deeply they engaged: quiz scores, screens completed, time spent, and actions taken per session.

CollectStructureAnalyzeInsightOptimize

Teams establish clear engagement baselines and spot trends within hours of campaign launch.

02

Retention tracking

Measure return behavior over time with configurable cohort windows — daily, weekly, monthly. Compare retention curves across campaign types, mechanics, and audience segments to identify which engagement patterns create lasting habits versus one-time participation.

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Programs optimized with retention data show measurably stronger long-term engagement than those optimized for volume alone.

03

Campaign analytics

Compare campaigns head-to-head by participation depth, completion rate, retention impact, and conversion. Identify winning playbooks — which mechanic combinations, reward structures, and flow lengths drive the best outcomes for each audience and goal type.

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Teams identify and replicate winning engagement patterns faster, reducing experimentation waste.

04

Performance dashboards

Expose live campaign health to operators, stakeholders, and executives with role-appropriate views. Operators see real-time metrics and alerts. Stakeholders see weekly summaries tied to KPIs. Executives see portfolio-level performance across all active programs.

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Operational decisions happen faster because the right data reaches the right people without manual report generation.

Key capabilities

Everything analytics & insights gives your team out of the box.

Try it free

Participation metrics

Monitor who engages, how often, how deeply, and through which channels. Track completion rates, interaction depth, and session quality across every campaign and engagement surface.

Performance dashboards

Expose live campaign health in role-based views — real-time metrics for operators, weekly summaries for stakeholders, portfolio views for executives. No manual report assembly required.

Retention tracking

Track repeat behavior across configurable cohort windows — daily, weekly, monthly. Compare retention curves by campaign, mechanic, segment, and source to identify what drives lasting engagement.

LessMore
52k events tracked

Funnel insights

Understand exactly where users drop off in multi-step engagement journeys — by screen, by mechanic, by session duration. Identify friction points and test interventions with measurable before-and-after comparisons.

Cohort comparisons

Benchmark behavior by segment, source, campaign type, or custom dimensions. Compare how different audience groups respond to the same mechanics — and use those differences to inform targeting and personalization.

Campaign analytics

Compare campaign mechanics, flow structures, and reward configurations by measurable performance. Identify which combinations drive the best completion, retention, and conversion outcomes.

Funnel
Viewed
10.2k
Started
7.2k
Completed
4.8k
Converted
2.1k

Built for real scenarios

Teams across industries use analytics & insights to power these outcomes.

Campaign Optimization

Identify which mechanics, flow lengths, and reward structures increase completion and return rates. Compare campaign variants side-by-side and scale the patterns that work — replacing guesswork with data-driven iteration across every engagement program.

Executive Reporting

Share engagement performance snapshots tied to business KPIs — not just participation numbers. Connect engagement depth to customer retention, revenue impact, and program ROI in dashboards that executives can review without analyst support.

Lifecycle Analysis

Map the full engagement lifecycle from first touch to long-term retention. Find where users drop off, what re-engages them, and which lifecycle stages have the highest leverage for intervention — informing both campaign design and automation rules.

A/B Testing & Experimentation

Measure the impact of mechanic changes, reward adjustments, and flow modifications with controlled comparisons. Track statistical significance across engagement metrics and business outcomes to make confident optimization decisions.

Agentic analytics automation

AI agents monitor campaign health continuously, surface anomalies before they become problems, and generate insights that would take hours to discover manually.

Events collected
Campaign, user, reward, system
Analytics engine processes
Segments, aggregates, detects trends
Insights surfaced
Dashboards, alerts, reports generated
Teams optimize
Data-driven campaign improvements
Threshold alerts notify operators immediately when key metrics — participation rate, completion rate, drop-off rate — deviate from expected ranges, enabling rapid intervention during live campaigns.
Scheduled insight generation produces daily and weekly performance summaries with trend analysis, cohort comparisons, and actionable recommendations delivered to stakeholder inboxes.
Anomaly detection flags unusual patterns — traffic spikes, completion rate drops, reward claim surges — with contextual explanations so teams understand the likely cause before investigating.

Reliable analytics at enterprise scale

Process high-volume engagement event streams with consistent data quality, accurate attribution, and scalable reporting that doesn't degrade under load.

Every engagement event is processed exactly once, attributed to the correct campaign and participant, and available for analysis within seconds — even during peak traffic events.

Consistent event models ensure that every campaign interaction is structured identically regardless of source — enabling reliable cross-campaign comparisons and accurate aggregation.
Data quality controls validate incoming events, flag inconsistencies, and prevent duplicate counting — so teams make decisions on accurate data, not inflated metrics.
Scalable reporting pipeline handles burst traffic during campaign launches without degrading query performance or delaying dashboard updates for concurrent users.

Outcomes & business impact

Directly connect engagement behavior to business results — retention lift, conversion improvement, and revenue per engaged user.

Retention lift measurement compares engaged cohorts against control groups to quantify the actual retention improvement attributable to each engagement program.
Conversion by mechanic analysis shows which engagement types — quizzes, challenges, contests, loyalty loops — most effectively drive downstream business actions like purchases or subscriptions.
Value per engaged user calculates the incremental revenue and lifetime value contribution of engaged participants versus non-participants — providing clear ROI for engagement investments.

Integrations

Move engagement analytics into your BI stack, data warehouse, and reporting tools with standard export APIs and real-time event subscriptions.

Export APIs provide programmatic access to engagement metrics, cohort data, and campaign analytics for custom reporting, BI tool integration, and automated report generation.
Data warehouse pipelines stream structured engagement events to your analytics warehouse — Snowflake, BigQuery, Redshift — for cross-platform analysis alongside product and revenue data.
Event subscriptions deliver real-time engagement events to downstream systems for custom dashboards, alerting pipelines, or integration with your existing analytics and monitoring stack.