Best Marketing & Growth Analytics Platforms
Growth analytics that ties spend, product behavior, and revenue into one trusted view.
See How We Build for Complex BusinessesAs marketing spend grows across channels and tools, teams lose clarity on what actually drives revenue. Data lives in silos, attribution is disputed, and reports arrive too late to guide decisions. Growth slows not because of lack of effort, but because insight is unreliable.
Who This Is For
We usually work best with teams who know building software is more than just shipping code.
This is for teams who:
Marketing and growth teams managing multiple channels
Product-led companies connecting usage to revenue
Revenue teams needing clearer ROI visibility
Organizations tired of manual reporting and metric conflicts
This may not fit for:
Teams looking only for channel-level dashboards
Businesses without defined growth goals
One-off reporting or spreadsheet-based analysis
Organizations unwilling to unify data sources
the real problem
Marketing data exists everywhere, insight exists nowhere
Most teams track activity but cannot confidently link it to outcomes. Channel reports disagree, funnels break between tools, and attribution models oversimplify reality. As a result, teams argue over numbers, rely on gut decisions, and struggle to prove ROI or scale what works.
how this is usually solved
(and why it breaks)
common approaches
Relying on individual ad platform reports
Using last-click attribution by default
Manually stitching data in spreadsheets
Separating marketing, product, and revenue metrics
Where these approaches fall short
Conflicting metrics across teams
Unclear connection between spend and outcomes
Slow feedback on experiments and campaigns
Low trust in analytics outputs
Core Features & Capabilities
01
Unified funnel analytics
End-to-end visibility from acquisition through activation and conversion.
02
Attribution and ROI measurement
Multi-touch and rules-based attribution tied to revenue and lifetime value.
03
Experimentation tracking
A B tests and growth experiments measured consistently over time.
04
Cohort and retention analysis
Understand retention, churn, and long-term value by channel and campaign.
05
Integrations and activation
Connect ad platforms, CRM, and product data with APIs for real-time use.
how we approach it
01
Align on growth questions and shared metrics first
02
Unify marketing, product, and revenue data
03
Implement realistic attribution and cohort models
04
Deliver insights directly into decision workflows
How We Build at PySquad
We build growth analytics as an operating system for decisions. The focus is shared metrics, realistic attribution, and insights that teams trust enough to act on.
outcomes you can expect
Clear visibility into what drives real growth
Better budget allocation based on trusted ROI
Faster learning from experiments and campaigns
Reduced reporting friction across teams
Turn marketing data into decisions your team can trust.
let's build yoursAbout PySquad
PySquad works with businesses that have outgrown simple tools. We design and build digital operations systems for marketplace, marina, logistics, aviation, ERP-driven, and regulated environments where clarity, control, and long-term stability matter.
Our focus is simple: make complex operations easier to manage, more reliable to run, and strong enough to scale.
Strategic Solutions in This Domain
Integrated platforms and engineering capabilities aligned with this business area.
have an idea? lets talk
Share your details with us, and our team will get in touch within 24 hours to discuss your project and guide you through the next steps