Google Analytics & API
Google Tag Manager
CRM integration
End-to-end analytics
Google Data Studio
Tableau
Power BI
UI/UX
A|B testing
Checkout journey optimization
Sales automation
UI/UX
A|B testing
Checkout journey optimization
Sales automation
We’ve got 7 years of web-measurement experience under the hood.
Our web-measurement story spans from the trenches of Google customer support centre, where we understood how under-estimated web-measurement is among SMBs.
One day we decided to leave the corporate boat and fix this.
Since then:
Tracking setups
Dashboards made
Happy clients
End-to-end analytics – we setup a tracking infrastructure that allows to analyze all your customer’s touch-points on a journey to conversion. We aim to bring together the data about user behavior, ad spend, completed purchases with the data about offline sales, micro-conversion (e.g. phone calls and newsletters), in a single system. This allows us to evaluate the performance of all the marketing channels using attribution models, and make proper decisions based on the complite data.
Our major customers are coming from:
We do your website, marketing channels due-dilligence and collate it with your business objectives.
Project implementation plan broken into checklists, time estimates and task ownership. Expectations are important.
Your developers will be delighted with instructions. We also know how to properly communicate with those aliens.
From the first visit on the website to their offline behavior, color of the eyes and more. We're curious folks.
Be it a complex marketing funnel, lead scoring, ROAS report or seemingly unrelated data. We'll make sense of it.
Yes, sometimes your website sucks. We're the ones who will tell the true and fix things for better.
BigQuery integration and machine learning.
Was happy to have a business with Denis. We were lucky to benefit from his growth hacker’s mindset and excellent google ads, google analytics, google tag manager skills. Appreciate clear communication and ability to deliver on time. Will continue cooperation after some business model reshuffling. Looking forward.
Think above is fake?
You’re right, it always worth checking our Upwork profile
Senior PPC specialist. Makes your advertising campaigns performance a breeze. “ROAS” is his mantra.
Depends…
Basic setup ranging from 500$ for a simple Shopify migration to 1000$+ for the complex cases.
Advanced implementations Usually values 2000$+.
As an initial step we scope out every project, plan every stage with approximate evaluation of each action item and owners of this task.
We rather call ourselves a professional community. Having 7 full time rockstars onboard (mainly data engineers, data scientists and digital marketers, UX/Ui specialists) we also engage reliable colleagues with skills ranging from software development to video production.
Being a small team, we do our best to make sure we enjoy working with our customers. We always own what we do, think about your business strategically and we’re creative in things above. This allows us to establish relationships that some people call partnership. Our experience allows us to define the criteria that tell us about a potential fruitful cooperation:
In case you recon that mentioned above is about your company – we’ll be pleased to hop on a call and begin the space journey.
Case:
EU-based ecommerce jewellery business BigQuey integration and machine learning.
Context:
Our customer is an e-commerce website with headquarters in Rotterdam (Netherlands) is a pioneer on a jewelry market that allows its customers to create the jewel of their dream in minutes thanks to the multitude of customization options and powerful 3D design techniques. There’s also an option to order a 3D model of the jewel before it goes to production.
Tools/approaches used:
Main complexities of the project:
Project requirements:
Project implementation:
Once we started implementation it became obvious that we won’t be able to receive product details (e.g. stones, metals, sizes, models) from the SaaS provider on frontend/backend. Which was a major blocker.
Therefore we moved forward with a workaround:
MERGING GA4 DATA WITH CRM AND OTHER DATA SOURCES
The next step was to assign particular ecommerce actions to the specific customers and information about them in the CRM. This was organized in a following way:
Our next step was to visualize the ecommerce funnel with as many details as possible:
MACHINE LEARNING IN BIGQUERY
Next, we moved to the most complex part – machine learning models In BigQuery ML.
The first task was to segment our customer base into cohorts based on the recency, frequency and monetary value of their purchases. We employed a k-means model that clearly splitted the customer base into 5 distinct segments:
This instantly allowed business owners come to multiple conclusions:
Based on this we were able to formulate multiple hypothesis that needed validation. Our final actions made us to come up with the following solutions:
Result:
Result:
CONCLUSION
We’re continuing working with this customer on many fronts: CRO, sales automation, UX/UI, SEO and other aspects of business development. We perceive this case as a pivotal point in our relations due to couple of reasons:
