Companies with finalized Tech Data Foundation can set up business intelligence tools for data visualization and dashboard creation. Every department can get its own KPIs dashboards to make sense of data that is important for their daily decisions.
We can help with:
Reporting automation and BI dashboards creation in Data Studio, Power BI, and Tableau
Real-time performance reporting and alerts, for example, you can get notifications in case sales are going down compared to the historical performance on a given day
Custom dashboards with multiple data sources merged from an online store, ERP, POS, CRM system, and others
Download our how-to guide on Data Studio for eCommerce or get in touch to speak with an Analytics Expert.
When all necessary data is validated and visible on dashboards, the only thing left is to start taking actions to optimize business performance. How to know where to look, what metrics are more important, and which data sets can be analyzed together to draw conclusions? You do not need to!
Our Analytics Expert can analyze your store behavior monthly and provide performance analysis and recommendations reports. Analysis includes:
Main store KPIs (sales, refunds, customers)
Product and categories performance
Retention analysis and modeling
Traffic acquisition trends, organic and paid traffic
Marketing campaigns & landing page performance
Shopping funnel, cross-device user behavior
Read how to track and analyze data on an eCommerce website or get in touch to speak with an Analytics Expert.
A new website launch or expansion to a new country is a big step that requires focused data analysis in a 24/7 mode. We provide a Launch Monitoring service to be safe and know that all aspects of the new product are performing as they should.
In practice, we see that Launch Monitoring helps to:
Prevent bugs appearing on a newly launched store
Spot tech SEO issues missed during development
Catch content updates, e.g., banners on CMS pages leading to 404s
Evaluate new system launch from all aspects: sales trends, user behavior, and traffic acquisition
Read how we monitored Black Friday weekend to accommodate a 40000% increase in sales or get in touch to speak with an Analytics Expert.
Request the list of problems we have already solved for our customers. There's a high chance you'll find the problem you are facing, which means we have the know-how to fix it.
We have all the knowledge to boost your store revenue under one roof: analytics, CRO, SEO, PPC, content & UX specialists working together to not just gather data from your store but make sense of it and convert it into extra sales. Did your analytics audit point to discrepancies in Facebook Ads conversion tracking? No problem, our tech team sits in the same room and can fix it within a few days.
We are official Google partners, and our analytics workflows and knowledge posted on our blog often get highlighted and shared by Google.
User behavior and store eCommerce performance tracking (e.g., Google Analytics)
Marketing platforms tracking, dynamic retargeting setup
Ensuring GDPR compliance
Incapable of harvesting data from the site in a reliable manner
Concerns about Universal Analytics becoming a legacy service
Analytics enhanced eCommerce funnels are not enabled or working correctly
Unsure if the analytics tools used are calibrated correctly
Not knowing where users are coming from
No returning user or loyal customer insights
Discrepancies between ERP and analytics order data
iOS user tracking does not extend past 7 days
Wish to still track users while remaining GDPR-compliant
Low cookie management platform (CMP) opt-in rates
Not being sure which marketing channels are driving conversions
A lot of data is available but not utilized
We start by meeting with all the stakeholders to identify business requirements and expected deliverables of the project, and outline data sources, necessary tools, and corresponding table schemas.
We select the best analytics tool stack depending on your internal team setup, maturity in analytics, and defined data needs. We present gathered data needs summary alongside an analytics architecture proposal and analytics project offer tailored to your business needs. An agreement is signed at this stage.
You get introduced to the main experts who will be working on your account. We run a discovery session with all pending questions and finalize the data strategy we will be following.
Based on confirmed data strategy and your company data needs, we develop an implementation roadmap, outlining the main milestones to be reached weekly.
The Analytics team defines data layer requirements for your eCommerce store and related web properties. It defines the way that the shopping funnel will be tracked and what events will be captured and passed from the web to the analytics platform.
We begin configuring and initiating necessary analytics tools & pipelines, and data warehousing setup. The development team is joining at this stage to implement the data layer, following defined requirements, and connect all your systems to data warehouses such as Big Query, RedShift, Snowflake, etc.
When the active work has been kicked off, we meet weekly or bi-weekly to align all teams on the progress and pending action items. It is critical to ensure smooth collaboration on both sides, including your internal teams and scandiweb's Analytics team.
Performing required data transformations (filtering, splitting, merging, enriching, and deleting duplicates) and mapping data from all your various data sources for a holistic overview (e.g., web traffic data, ad platforms).
We configure the test environments simulating real user behavior, placing hundreds of test orders, and ensuring data from every system is passed to the analytics platform correctly.
We visualize data insights using business intelligence tools for data visualization and dashboard creation, e.g., Data Studio or Power BI. The goal is to provide clear and understandable eCommerce store performance dashboards for all stakeholders to be on the same page.
As soon as the setup is there, we do monthly data analysis, exploring KPIs from different facets and drawing optimization conclusions. Gathered insights are further used for ongoing CRO, SEO, or PPC campaign optimization.