Who are we:
Datacop is a digital studio that helps eCommerce companies go from raw data to revenue.
It is a journey that can be thought of as a pyramid with 4 levels.
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Level: Data Gathering,
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Level: Data Preparation,
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Level: Data Monitoring & Exploration,
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Level: Data Activation.
We develop tools and best-practice recommendations for each level of the pyramid.
Over the last 6 years, we worked with 25+ eCommerce companies that generate between $10m - $300m in annual revenue.
From raw data to revenue journey:
Think about the journey as a pyramid with 4 levels.
The wider the base, the taller the pyramid can be.
Level 1: Data Gathering
This is where your journey starts!
Here you focus on what data you want to collect from which sources so it can later be used for data analytics and marketing automation use cases.
Here are two recommendations when it comes to data gathering from us:
Level 2: Data Preparation
Your data is now being collected! Awesome!
At this stage, you may face these two issues:
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your data is scattered across different platforms and it may be difficult or impossible to leverage data from all data sources at the same time.
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your data may contain mistakes such as duplicate events or ghost sessions (specific for Bloomreach Engagement users).
Now you should centralize your data in one place (data warehouse), eliminate any known mistakes, and save it in a well-documented, structured way, so it’s prepared for data analytics and activation.
Level 3: Data Monitoring & Exploration
Now it’s time for the fun stuff!
It’s time to build powerful reporting tools that help you uncover hidden gold in your data (insights) or look for any positive and negative anomalies that may occur at your store so you can act promptly.
Check out the reporting and monitoring tools we developed for our clients below.
Level 4: Data Activation
Now it’s time to reap the benefits of your hard work!
Provide a personalized experience for people that show strong buying intent, increase a budget for a well-performing Facebook campaign, or give a prominent place on your website to best performing products!
Datacop Analytical Framework (DAF)
for eCommerce
Datacop Analytical Framework (DAF) is our best practice set of recommended processes on how to deal with business questions eCommerce companies may have regarding their products, customers, website performance, and paid & owned channels performance. DAF usually includes the following:
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Set of KPIs assigned to specific business questions that members of an eCommerce marketing team might have.
💡 Example: based on which metric should I make merchandising decisions on a website? Find out in this article.
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Set of recommended steps for understanding what is behind positive or negative anomalies of any important KPI.
💡 Example: my CR% is down. How do I find out what is the root cause of this phenomenon? Find out in this article.
Our Tools & Best-Practices
based on Datacop Analytical Framework (DAF) for eCommerce:
PPC Reporting
"Increase the ROAS of your paid ads; understand their performance as never before."
Your Facebook Ads reporting, but better:
✅ Understand how visitors behave after clicking on a specific ad (What products do they interact with? What products do they buy?)
✅ Compare Last-click and Facebook Revenue attribution side by side.
(What are the limitations of Facebook Revenue Attribution after the iOS 14.5 update?)
✅ Understand if customers buy the product that is being promoted.
Product Performance Reporting
"Promote / sell / buy products that make you the most money." Explore our product performance evaluation framework.
When evaluating products by only number of units sold is not enough:
✅ Make buying decisions based on product sales, exposure, and profitability.
✅ Understand the sales velocity of each product (sales / # of days available)
✅ Understand if a product is selling organically or due to direct promotion.
Email Reporting
"Increase the revenue from your email campaigns; understand their performance as never before."
Your Email Reporting, but better:
✅ Understand how visitors behave after clicking on an email campaign (What products do they interact with? What products do they buy?)
✅ Compare your email KPIs WoW, MoM, YoY
✅ Understand if customers buy the product that is being promoted in a newsletter.
Shop Monitoring
Identify & understand valuable customer segments, as a stepping stone for building out personalized experiences. For example, see how we diagnose anomalies in the website's conversion rate.
Our most advanced website analytics & monitoring tool:
✅ Understand the differences in the behavior of First-time visitors, Returning visitors & Returning Purchasers.
✅ Identify positive and negative anomalies that occur in your store.
✅ Compare all Important KPIs in one place, with any period in the past
Data Warehouse
Leverage data from all data sources at the same time. A complete history of your data fused together for data analytics and personalization use cases stored in one place in a cleaned and structured way.
Single source of truth for your eCommerce:
✅ Centralize data from paid marketing channels, CDP, owned channels, inventory data and more...
✅ Clean data free of tracking mistakes.
✅ No data retention policies that force you delete historical data.
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Data Tracking
Prevent the pain of un-tracked data when it's needed for data analytics or personalization use-cases.
Best practice data tracking recommendations:
✅ Track all critical events and event attributes across all vital touchpoints.
✅ Prevent usual mistakes when it comes to data tracking.
✅ Data tracking best practices created from tens of eCommerce projects. (See our recommendations for product view event tracking.)
Data Pipelines
Get your data where you need it in a required format. Prevent mistakes from manual copy-pasting.
Data movement across your eCommerce organisation:
✅ Pull any data from any datasource, even if it does not have API.
✅ Push data where it's needed in required format.
✅ No more manual copy-pasting.
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Datacop Analytical Framework Use-Cases
Generate more revenue, or spend your marketing budget more effectively thanks to Datacop's automated use-cases.
Advanced marketing automation use-cases:
✅ Re-target website visitors who have shown strong buying intent.
✅ Provide different shopping experience to visitors coming to the website for the first time.
✅ Increase your conversion rate thanks to floating add to cart button.
Pricing:
Tier 1: 25 000€ / month
Fastest implementation; hire data experts that implement Datacop tools and best practices & bring you weekly insights from your data.
What is included in the package:
✅ Access to all Datacop paid use-cases; full access to Datacop Knowledge Hub,
✅ Weekly sprints & client meetings,
✅ Weekly actionable insights from your data,
✅ 100 hours of a BI expert,
✅ 100 hours of a technical expert,
✅ Cancel any time.
Tier 2: 8 500€ / month
A little slower but risk-free. If we don't deliver, you get your money back. Try working with Datacop experts, tools, and best practices in a risk-free way.
What is included in the package:
✅ Access to all Datacop paid use-cases; full access to Datacop Knowledge Hub,
✅ Bi-weekly sprints & client meetings,
✅ Bi-weekly actionable insights from your data,
✅ 30 hours of a BI expert,
✅ 30 hours of a technical expert,
✅ Cancel any time,
✅ Money-back guarantee. If we don't deliver, you get your money back.
Tier 3: 100% Free
Get free Datacop tips regularly, or ask us a data-related question directly.
What is included in the package:
✅ Access to the free section of Datacop Knowledge Hub,
✅ Access #ask-datacops Slack channel,
✅ Pick one Datacop use-case free of charge (up to 299€ of value).
Testimonials:
“Our main motivation to work with Datacop at Kondela, was to explore complex analytics and A/B testing on our e-shops. Together with Datacop we have managed to push our utilisation of marketing tools to a new level. In particular, we pursued the optimisation of conversion rates of our acquisition traffic on our mobile product pages. The project brought us both immediate positive results on our bottom line as well as new perspectives on how to apply personalisation techniques to different customer segments at different touchpoints of the customer journeys. I would like to thank our colleagues from Datacop for a professional and fair attitude, analytical expertise and lastly for patience in our discussions.”
- J. Žák, eCommerce manager at Kondela
“We heard rave reviews of Datacop from other brands and decided to give a few analytics reports a try to start, we haven’t looked back since. We plan to completely switch off from any other analytics platforms and use Datacop as our primary source of truth. The efficiencies and revenue opportunities that Datacop’s tools provide have been a key part of Roark’s growth.”
- M. Syrovatka, eCommerce manager at Roark
