3 steps to make sense of your data

Visualize data and automate reporting with
BI dashboards

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.

Take data-driven actions

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

Purchasing trends

Retention analysis and modeling

Customer segmentation

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.

Request a sample of the monthly eCommerce optimization report

Get your eCommerce optimization report

Monitor important events and
new product launches

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.

3 reasons to set up
analytics with scandiweb

There is a 95% probability we have already solved the problem you are facing

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.

Work with the eCommerce growth team

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.

Workflows praised by Google

We are official Google partners, and our analytics workflows and knowledge posted on our blog often get highlighted and shared by Google.

Get more money from existing website visitors

User behavior and store eCommerce performance tracking (e.g., Google Analytics)

Get more money from Paid Advertising (Facebook, Google Ads, etc.)

Marketing platforms tracking, dynamic retargeting setup

Don't lose money due to penalties from personal data protection regulators

Ensuring GDPR compliance

Every eCommerce business needs a proper analytics setup

Have you faced any of these data problems? We can solve them too!

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

Get in touch

What happens when we start work on your data & analytics setup?

Data needs & available sources definition

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.

Proposed analytics setup & effort estimation

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.

Data strategy finalization

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.

Analytics implementation roadmap

Based on confirmed data strategy and your company data needs, we develop an implementation roadmap, outlining the main milestones to be reached weekly.

Data layer requirements definition

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.

Building Data Tech foundation

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.

Weekly or bi-weekly progress reporting

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.

Mapping data for a holistic overview

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).

Full testing

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.

Visualizing data insights

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.

Take action with data insights!

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.

FAQ

How fast can we start?

We will be in touch same or next business day after contact form is submitted. Initial audit will take 3-4 days and hands-on work is usually started within 1-2 weeks.

How much would it cost?

You will get an offer for Analytics setup tailored to your business within a few days after we run initial audit. Usually, we are 30-50% below top offers you were getting because we keep our hourly rates competitive hiring globally and do many complex things much faster automating them since 2015. We are also 30-50% more expensive than the cheapest option you would get because while our hourly rates can be comparable, we see and estimate a much broader scope that we need to take care of for proper Analytics setup than cheapest Analytics analytics agency can offer.

Do you work only with eCommerce?

eCommerce-specific Analytics setup is 85% of what we do. We also support B2B-only and lead generation businesses around the world.

If I have a Shopify Plus store, can you work with it? Or do you support only Adobe Magento platform?

We have experience & know-how configuring Analytics on every major eCommerce platform: Adobe Magento, Shopify, Bigcommrce, Shopware. Data analysis process is not platform-dependant and we can work with any platform out there.

Does the Analytics Specialist also take care of development?

No, Analytics specialist is preparing data layer requirements, configuring events withing tag manager platform and seting up Analytics platforms itself. Technical requirements for Analytics implementation are prepared and passed to tech team for further implementation. After implementation is done, Analytics expert is joining to do full testing and ensure all requirements were met.

Should I contact your Analytics team if I do migration with scandiweb?

No, if you do migration with us Analytics team is already involved into your project during Discovery stage.

Do you only set up data tools or also analyze data?

In fact, only acting on data can make a change to your bottomline. After Analytics setup is done, you can sing-up for BI & Actionable Analytics program to do regular KPIs analysis from different facets and drawing conclusions for further CRO & CX optimization. We also provide ad-hoc reporting, contact us to learn more about it.

What tools do you use for data visualization?

We can work with any 3rd party tool. 90% of our clients chose Data Studio, Power BI or Tableau.

How can I trust data in my dashboards?

You can’t unless you did a full analytics health-check to ensure all events are passed correctly from your data sources into analytics platform. Learn more about data collection & storage here.