Customer Journey Data Deep Dive Analyses for SaaS

Understand Your SaaS Customers' Journey with Expert Data Analysis Services

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Helping SaaS companies turn data into growth

Who is this for?

Are you eager to win the Data Analytics Marathon?

You've invested in building a data infrastructure, but the expected insights are still out of reach. Sounds familiar?

Our Data Deep Dives service is designed to bridge this gap. By leveraging your existing data, our business and data analysts uncover the insights that can transform your business operations and strategy.

Source: Six stages of a Data Analytics Marathon, by Brent Dykes in Forbes.

After "Six stages of a Data Analytics Marathon" by Brent Dykes .

Our solution

Data Deep Dive Analyses

Empower your business with our comprehensive data deep dive service. Our team of data science experts meticulously analyzes your data, uncovering meaningful patterns that reveal what drives user success and identify drop-off causes.

Why a data deep dive analysis?

Granular Exploration

Instead of looking at high-level trends, a deep dive involves dissecting the data at a more detailed level, to uncover deeper insights about user behavior, decision-making patterns, and friction points along the journey.

Cross-Stage Analysis

It covers multiple touchpoints across the journey (awareness, acquisition, activation, retention, and advocacy) to identify bottlenecks, key influencers, and opportunities for optimization.

Segmentation & Behavioral Insights

By breaking down data by user segments (e.g., new vs. returning customers, high-LTV users, or churned customers), it helps businesses understand different behaviors and personalize strategies.

Cause-and-Effect Exploration

Rather than just reporting what happened, a deep dive tries to answer why things happened—why users drop off at a certain step, why conversions are higher for specific segments, or why retention varies.

Data-Driven Decision Making

The ultimate goal is to extract actionable insights that lead to strategic optimizations, such as improving onboarding, reducing churn, or enhancing the user experience.

We provide high quality services since 2014

How it works

As a productized service, we have developed our own internal systems to streamline and accelerate the delivery of your analyses. Here’s the step-by-step process we follow:

Request analysis

Schedule a call or write us about your current challenge.

Get proposal

We create the analysis proposal (including the available timeline, data needed, and pricing details).

Validate project

Based on the data required, we will validate if there is enough data to run the project

Data Setup

We connect to your Data Warehouse and map data to the definitions of your Customer Journey.

Analyze data

We do the analysis, generate insights, and present findings and recommendations.

Use insights

You incorporate the insights into your strategy.

Deliverables

Data Deep Dive Examples

Detailed data narratives built specifically for your data and business context, including explanations, visualizations, and recommendations.

Identify the profile of your Power Users

This analysis focuses on identifying Power Users/Accounts and understanding what sets them apart from core or casual users. Leveraging insights from Power Users is crucial for driving growth and engagement in a SaaS company.

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Identify the Habit Moment - the key to long-term retention

This data-deep-dive analysis focuses on identifying the main activation metrics. This analysis is based on the Reforge "Retention and Engagement" framework.

Learn more

Other data deep dive analyses examples covered by our services:

The influence of the traffic sources or marketing channels on activation

This analysis examines how different traffic sources and marketing channels impact user activation. By identifying which sources drive the highest activation rates, businesses can optimize their acquisition strategies and allocate resources more effectively to maximize conversions.

The influence of the email marketing campaigns on user activation

This analysis explores the impact of email marketing campaigns on user activation. It identifies which campaigns are most effective in converting users, helping to refine email marketing efforts for better activation rates.

Evaluate feature performance using the TARS framework

This analysis assesses feature performance using the TARS framework (Target, Adopt, Retain, Satisfied -- framework developed by Reforge). By evaluating how users engage with and derive value from a feature, businesses can identify strengths, uncover friction points, and optimize feature adoption and retention.

Client Success Stories

Real Outcomes Achieved by Our Clients

Explore how our Data Deep Dive services transformed the strategies of our clients. Through collaboration, we helped them uncover insights that drove impactful decisions and growth.

“We've grown over 20x in revenue and continue growing. Prior to InnerTrends we were looking at data in a more macro way and we weren't laser focusing on the macro moments that really mattered and that could really impact our results.”

Miruna Dragomir

Head of Marketing @Planable

Pricing

Affordable pricing that fits the needs of your data-driven company.

Project-based

Gain immediate data-driven insights to solve your current business challenge.

The price depends on the project size and complexity.

Best fit for trying our data deep dive analyses service.

We validate projects before starting any commitment.

Subscription-based

$700_/day

You will be assigned a dedicated team consisting of technical data people and also business analysts.

Best fit for data-driven companies that don’t have internal business analysts.

minimum 3 days/month required.

Frequently Asked Questions

We only need access to your existing data warehouse or a back-end export. Our technical team will perform the necessary data transformations.

No. InnerTrends services are designed to cover the gaps that your existing tools don't cover or to complement the skills of your data team

We will simply follow these steps:

Request analysis - Schedule a call or write us about your current challenge.
Get proposal - We create the analysis proposal (including the available timeline, data needed, and pricing details).
Validate project - Based on the data required, we will validate if there is enough data to run the project
Data Setup - We connect to your Data Warehouse and map data to your Customer Journey.
Analyze data - We do the analysis, generate insights, and present findings and recommendations.
Use insights - You incorporate the insights into your strategy.

Discover how Data Deep Dives can boost your business goals

Contact our experts today to discover how InnerTrends can empower your business.