E-commerce
August 27, 2026
Are you wondering how to transform the chaos of your GA4 and Adobe Analytics data into concrete action plans without building an expensive analytics team? Scandilytics addresses this need by injecting a layer of artificial intelligence that writes weekly narrative reports, explaining the movements of your key indicators and suggesting precise actions. This approach is crucial for DTC brands and mid-market retailers whose dashboards remain unexplored after migrating to GA4, as it replaces passive chart reading with comprehensible textual analysis.
On the agenda: how does this tool integrate into your current stack? What types of AI-generated reports can you concretely expect for your marketing campaigns? What are the specific details of the pricing plans and real-world use cases among major brands? How does this solution position itself against traditional business intelligence tools or pure automation solutions? Finally, how can you optimize your return on investment with Scandilytics? Let's get started.
Summary
Why does the traditional reporting model often fail after GA4 migration?
The migration to Google Analytics 4 revolutionized data collection, but it created a paradox for e-commerce teams. On one hand, you now have access to massive, granular raw clickstreams. On the other, the complexity of native dashboards and the SQL queries required to interpret them is often insurmountable for non-technical product managers or marketing executives.
Many DTC brands find themselves with functional dashboards that are never read. Teams spend hours cleaning data or building manual reports in Looker Studio, without having the time to analyze the why behind the numbers. The time spent building charts replaces the time dedicated to strategic thinking.
This is where human intervention becomes a bottleneck. Without a dedicated analyst, revenue opportunities are often missed because weak signals remain invisible in the mass of raw data. The real value of data lies in its translation into marketing language, which is Scandilytics' core mission.
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How does Scandilytics integrate GA4 and Adobe Analytics data?
Scandilytics works as an intelligent middle layer between your native analytics tools and your sales team. Unlike a simple data connector, it plugs directly into your existing Google Analytics 4 and Adobe Analytics accounts to ingest raw clickstreams in real time.
The tool does not require complex restructuring of your database or the installation of additional pixels. It reads conversion events, user journeys, and channel performance as they are already recorded in your official accounts. This ensures absolute fidelity to the data you already use to make decisions.
Once the connection is established, the algorithm parses these streams daily to identify trends and anomalies. It does not just aggregate numbers; it analyzes the correlations between user behavior and business results. This allows for the generation of a dynamic knowledge base that reflects the actual state of your store at any time, without manual intervention.
What is the exact format of an actionable report written by AI?
Scandilytics' great strength is the transformation of raw data into narrative text. Instead of sending you an Excel spreadsheet filled with percentages, the tool writes a structured report that explains what happened, why it is happening, and what actions to take.
A typical report begins with a summary of key performance indicators (KPIs), followed by a detailed analysis of significant movements. If the conversion rate drops or if traffic from a specific channel skyrockets, the AI explains the probability of the root causes based on patterns observed in user sessions.
Analysis of customer behavior by conversion funnel stage.
Automatic identification of underperforming or overperforming channels.
Concrete marketing action suggestions linked to the observed data.
This format allows CMOs and growth teams to read the report just like reading an email or a briefing, thereby saving precious time on interpreting complex charts to go straight to execution.
For what types of brands is Scandilytics specifically designed?
The solution was designed for a specific target: DTC (Direct-to-Consumer) brands and mid-market retailers with annual revenues between $5 million and $150 million. These companies already have the necessary data but lack the human resources to analyze it effectively.
Major brands like Lafayette 148, Puma, or Happy Socks use this tool because their marketing teams are often overwhelmed by the operational workload and cannot afford to allocate a full-time data analyst to reading daily reports. For them, automating analysis is vital.
Conversely, this is not the ideal solution for pre-launch startups that do not yet have enough data volume, nor for companies already using a complex data warehouse like Snowflake where analyses are done by specialized SQL teams. Scandilytics bridges the gap between data collection and business intelligence.
How does AI recommend marketing strategies based on your performance?
Scandilytics' artificial intelligence does not limit itself to merely observing trends; it proposes actionable scenarios. By analyzing past behaviors and recent changes, the algorithm generates specific recommendations to optimize your campaigns.
If you notice a drop in customer retention, the tool can suggest relaunching an emailing campaign or adjusting your after-sales service policy. If a channel like SEO sees its traffic plummet, it can alert you to technical or content issues to be resolved quickly.
These recommendations are directly linked to your business KPIs. They transform analysis into a strategic roadmap that your team can adopt immediately during a weekly stand-up meeting, replacing intuition-based debates with evidence-based decisions.
What are Scandilytics' pricing plans and value for money?
The tool offers an accessible pricing structure that starts at $29.99 per month. This entry point allows small e-commerce merchants to benefit from access to weekly or monthly reports and to try automated analysis without initial financial risk.
Higher plans are available for more advanced needs, ranging up to $99.99 per month. At this level, you gain access to personalized business advice, a complete marketing strategy, and a deeper performance analysis. A 30-day free trial is also offered to validate the tool's relevance before making a commitment.
The return on investment becomes rapid when considering the cost of a dedicated analyst or an external agency. For a growth team of 2 to 3 people without an in-house analyst, Scandilytics acts as a virtual collaborator that significantly reduces the analytical workload while increasing the quality of decisions.
Why is report automation superior to manual Excel spreadsheets?
Comparison with traditional methods highlights the efficiency of the automated approach. Manual reports or custom Looker Studio dashboards require constant maintenance: updating filters, correcting calculation errors, and regularly checking sources.
Scandilytics eliminates this burden by automatically generating insights every week. This reduces ad hoc requests to analysts or the technical team by up to 60%, as information is already synthesized and ready to use. You gain reliability because the algorithm always applies the same analysis logic, without human bias.
Furthermore, the text format allows for better contextual understanding. It becomes easier to share conclusions with non-technical colleagues or integrate them into an executive presentation deck, as the narrative is already written and backed by data.
How does Scandilytics fit into the existing technology stack?
The strength of Scandilytics lies in its agnosticism towards e-commerce platforms and its seamless integration with analytics tools already in place. It does not replace your order management system or your CMS, but it enriches your existing data.
The tool works equally well with Google Analytics 4 as with Adobe Analytics, offering valuable flexibility to companies that sometimes change ecosystems or use multiple platforms simultaneously. This compatibility ensures that you do not lose the technological investment already made in your analysis tools.
It can also be coupled with customer service solutions like Gorgias or Re:amaze to cross traffic data with support tickets, offering a 360-degree view of the customer experience. This helps to understand if a spike in support demand is linked to a technical problem detected by Scandilytics.
What concrete use cases illustrate the impact of this solution on businesses?
Feedback from brands using Scandilytics shows tangible gains in operational efficiency. An average fashion brand, for example, saw the preparation of its executive presentations go from two days of work to just a few hours of review and editing.
In the case of a B2B or consumer e-commerce retailer, the tool allowed merchandising teams to receive weekly alerts on underperforming categories. This triggered immediate corrective actions, such as targeted promotions or product page adjustments, without waiting for the end of the month.
For solo founders or SMEs, the written report replaces the need to read complex dashboards every morning. They can spend their time executing recommended strategies rather than interpreting data, thereby accelerating business growth.
What are the compliance and data security commitments?
In a context where data privacy is paramount, Scandilytics complies with strict regulations such as GDPR and CCPA (California Consumer Privacy Act). The tool processes information in a way that guarantees the security of customer data while extracting the necessary insights.
Compliance with these standards ensures that your business is not exposed to legal risks associated with the processing of personal data, particularly when exporting or analyzing user behavior. This allows you to leverage the power of AI without compromising your customers' trust or legal obligations.
Furthermore, the lack of a credit card requirement for the free trial demonstrates a commitment to transparency and simplicity, inviting merchants to test the solution with complete peace of mind without committing to complex subscriptions.
How does Qstomy complement Scandilytics' analysis to optimize your margin?
While Scandilytics analyzes and explains your performance, Qstomy acts as the intelligent executor that transforms these insights into concrete actions on the ground. While Scandilytics identifies a drop in conversion rate or a retention issue, Qstomy steps in to correct the course immediately through its optimized Shopify interface.
Optimization of abandoned carts with personalized automated reminders.
Customer service and returns management to reduce support costs.
Implementation of upsell and cross-sell strategies based on Scandilytics data.
When Scandilytics signals a negative trend, Qstomy uses this information to dynamically adjust support policy or trigger targeted recovery campaigns. This synergy transforms statistical analysis into a real increase in revenue and customer loyalty, without tedious manual intervention.
What checklist should you adopt before deciding to integrate Scandilytics into your strategy?
Validation criteria
Verify that you are already using GA4 or Adobe Analytics.
Assess the size of your marketing team (2-3 people is ideal).
Define your priority KPIs for automated analysis.
Before committing, make sure your current stack relies on Google or Adobe Analytics. If you primarily use a data warehouse like Snowflake or tools like Mixpanel, Scandilytics will not integrate natively.
Frequently Asked Questions
What is the minimum cost? ($29.99/month with a free trial).
Are the reports customizable? (Yes, depending on the chosen plan).
By following this checklist, you maximize your chances of adopting a solution that aligns perfectly with your analytical and operational needs, thereby ensuring a quick and sustainable return on investment.
To go further: E-commerce conversation analysis: understanding real customer questions - Qstomy, E-commerce support policy: writing clear rules for customers and agents - Qstomy, What is Google Shopping for e-commerce? Definition, feed and benefits for a store - Qstomy, E-commerce CRM and customer support: using the right data to respond better - Qstomy, What e-commerce marketing strategy with no ad budget? - Qstomy, What e-commerce strategy for a small brand under $100,000/month? - Qstomy, Google Analytics for marketing: ads, traffic and performance (GA4) - Qstomy.
Enzo
August 27, 2026
