We start by defining your company data needs: sync with all stakeholders to identify business requirements and expected deliverables of the project.
What are the data needs of every department? What metrics are important and why? Where can the required data be gathered? How will it be used in further business optimization?
As a result, we have outlined all your data sources, defined necessary tools, and explored corresponding table schemas.
When data needs are defined, we proceed with configuring and initiating tools & pipelines (e.g., Fivetran, Segment, Zapier) and implementing data warehousing (e.g., BigQuery, RedShift, Snowflake) to link data from various sources for a holistic overview.
If data transformation is necessary, we do data filtering, splitting, merging, enriching, and deleting duplicates before it reaches the warehouse by using tools such as Metillion, DBT, and dataform.
The final stage is business intelligence and data visualization to ensure 1-click data access for every department.
We integrate Analytics and Development teams to ensure proper analytics implementation, which usually includes the following actions:
Data layer requirements definition
Tracking script migration plan
Marketing scripts and tracking events setup for tag manager (e.g., Google Tag Manager)
Analytics platform configuration (e.g., Google Analytics, Adobe Analytics, etc.) and customization
Data layer extension setup
eCommerce data layer implementation or customization
Custom events setup in tag manager
Shopping behavior funnel and checkout steps tracking setup
Not sure if you can trust your data? Start with in-depth auditing and health checks of the analytics platform. It will include:
Data layer and Tag Manager auditing
Transaction tracking coverage audits
Marketing platforms tracking auditing (Facebook pixel and CAPI, Google Ads tracking, affiliate marketing tracking, etc.)
Analytics audit report
Implementation of improvements for action items
Isn't it frustrating when every system shows different numbers? For example, the transaction total is different in Google Analytics compared to the admin panel. We spot issues in your implementation and fix them:
Data layer input and output data validation
Shopping funnel analysis and main drop-off points, identifying discrepancies
Transaction tracking coverage audits
Spotting issues in the tracking code's technical implementation
You can’t run effective marketing campaigns without knowing how they perform and what you need to optimize for better performance. What we do:
Facebook pixel and conversion API implementation
Google Ads conversion tracking, dynamic remarketing setup
Affiliate platforms tracking (CJ Affiliate, ShareASale, Rakuten, etc.)
Migrating in-line hardcoded marketing scripts to tag manager
Any other marketing platform scripts configuration in tag manager
Ad platform conversion tracking and dynamic remarketing setups (Google Ads, Microsoft Ads)
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 there, 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. Your analytics audit pointed 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 data various 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 was 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.