Concerns about analytics tracking arise when considering plans to restructure the site or migrate to a new framework, platform, or hosting service.
During the migration process, our analytics specialists will review the current data tracking setup, ensure that the data tracking functionality and behavior are preserved, and suggest potential enhancements.
Unable to harvest data from the website in a reliable manner.
Assess gaps in data tracking and implement sturdy data layer events that can be conveniently utilized in a tag management system.
Need to repeatedly create customized logic for meaningful user interactions on the website to harvest eCommerce data.
Design a customized data layer with an event triggered approach for easy utilization to meet your data requirements
Uncertain if the current analytics setup is adhering to industry best practices.
Assess the current tracking setup, perform a gap analysis, and pinpoint key areas that require enhancement.
Uncertain if the analytics tools utilized are correctly calibrated
Conduct an analytics health check with the existing analytics tools.
Desire to track specific conditions but need more technical expertise or programming resources necessary to achieve the desired outcome.
The analytics specialists will examine the intended outcome and create custom JavaScript logic to achieve the desired result.
Worries about Universal Analytics becoming a legacy service.
Set up a GA4 or similar analytics tracking setup in conjunction with Universal Analytics to ensure that data is collected as usual.
Avoiding penalties for GDPR/CCPA non-compliance.
Review and align on a cookie management platform service; Collect and classify all website cookies; Set up compliance through the tag management system.
It has become difficult to use and maintain the tag management system.
Audit and clean up the tag management system (TMS) to attain maximum optimization, simplify system usage, and decrease the overall size of the TMS script
Unsure which eCommerce events are the most important for business intelligence (BI) decision-making.
Our analytics specialists will examine the site and propose a strategic action plan to track the most important eCommerce events and how they can be used to make BI decisions.
The setup of data layer events is a costly, time-consuming, and delicate procedure.
Our analytics experts and developers will install and configure our module to aid in data layer event setup and configuration and perform all quality assurance checks to guarantee accuracy.
The analytics-enhanced eCommerce funnels are not functioning correctly or are not enabled.
Examine the tracking configuration and pinpoint any problems or gaps that need to be resolved to ensure accurate funnel reporting.
Uncertain where users are coming from.
Evaluate, propose, and implement a tracking system that captures details about users who land at the targeted destination.
Unable to target users with email campaigns once they have visited and engaged with the site.
Configure and collect valuable user data to use for retargeting purposes.
Lack of insights on returning users or loyal customers.
Establish the necessary requirements for tracking logged-in users and create a distinct hub to track returning visitors.
Data collection inhibited by privacy extensions and browsers.
Develop and deploy a server-side tagging solution to bypass client-side restrictions while complying with GDPR/CCPA regulations.
Inconsistencies between ERP and analytics order data.
Collect data using alternative approaches such as server-side tag management systems or ERP system order observer functions and measurement protocols.
User tracking for iOS devices does not extend past 7 days.
Use server-side tagging solutions to set third-party cookies on a first-party instance.
The necessary information is dispersed across numerous analytical sources rather than centralized in a single location.
Our analytics specialists will review and gather information in a single location, ensuring that data reporting is synchronized across all sources using common data keys.
Dashboard information does not correspond with actual data in analytics sources.
Examine the data sources configuration settings and pinpoint any faults in the reporting setup.
Lack of returning users or loyal customers insights.
Establish the necessary requirements for tracking logged-in users and create a distinct hub to track returning visitors.
Misconfigured data feeds or outdated feeds.
Examine the configuration settings of data feeds and make required changes to scheduled CRON tasks or the export structure.
Inaccurate bounce rates: very low or very high.
Examine the tracking setup and apply the required fixes to restore bounce rates to their normal levels.
Inability to link several essential data points.
Analytics engineers examine and draw connection points using connectors and pipelines to create a cohesive report.
Lack of technical proficiency for complex AB testing.
Our team of data engineering, analytics, and development experts will handle the AB test configuration, ensuring its secure deployment and gathering valuable information.
Incapable of cleaning or transforming data before loading it into an analytics storage area.
Analyze the data extraction and destination endpoints, and suggest checkpoints in the tracking architecture where data can be modified before being loaded and stored.
Wish to track users while remaining GDPR compliant.
Offer additional options for tracking setup: enable and configure Google consent mode, and implement server-side tracking alongside client-side tracking.
Want to store and process massive volumes of data.
Integrate Big Data services to get data from analytics sources for additional analysis.
Low opt-in rates for cookie management platform (CMP).
Examine and enhance the CMP banner to boost opt-in rates.
The data stack is obsolete
Evaluate the current analytics stack and pinpoint key areas that require updating to align with the data-gathering landscape.
The data installation is challenging and not easily accessible to most people
By adhering to best practices and considering the project's business needs, the result tracking setup can be simplified for use in BI decision-making by anyone, including analysts, managers, and marketing specialists.
Data anomalies are not automatic and are only noticed by personnel.
Define and establish custom alerts to notify staff when specific data anomaly conditions are fulfilled.
Uncertain about which marketing channels are driving conversions.
Our analytics experts will evaluate and showcase the most effective marketing channels based on available data. If the required data is not available, our data engineers will install necessary prerequisites for analysis.
Insufficient insight into current customers and their engagement drivers.
Set up data collection points that focus on logged-in and returning users to gather more information and increase the lifespan of cookies. Marketing specialists can then use this data.
With multiple data sources, we struggle to create a coherent story in one place
We will gather vital data sources and merge them into a single data visualization tool that consolidates all necessary information in one convenient location
There is a considerable amount of data available but not used.
Survey the collected data, consider the business project's needs, purge any unnecessary tracking to optimize site performance, and use said data for data visualization and BI decision-making.
Unsure of the reason and location of user abandonment during the website's sales funnel.
Implement improved eCommerce tracking by monitoring drop-off rates between key steps in the shopping funnel and micro goal tracking to identify areas where conversion can be improved.
The data sets available for analysis are only partial & inconsistent.
Conduct an audit of the reporting and tracking system to identify gaps and leverage the unutilized data collecting & reporting capabilities to obtain full insights.
Remarketing is not functioning correctly.
Data Engineers review the remarketing scripts, data feed files, and service configurations (such as Google and Facebook) to ensure that the correct data is being sent and received.
Many products are disapproved.
Review and address disapproved products in the ERP system and marketing service, and apply required fixes, including disapproved image and description and parameter adjustments.
Errors in Google Merchant Center, Facebook Marketplace, and other similar platforms.
Audit data feed files, review the CRON schedule and make any required fixes, such as removing unnecessary products, reforming the data tree in the feed file, and adding missing products.
Require the capability to retarget users who drop off the sales funnel.
Using visitor tracking technology, collect and send visitor identification data to your email solution platform to deliver real-time cart and browse abandonment campaigns. These campaigns can be customized according to the visitor's web behaviour.
We cannot monitor email marketing performance & user behaviour on the website.
User referrer and event data are gathered and compiled to provide a more comprehensive view of channel performance, including marketing campaigns and user behavior on the eCommerce site.
The website speed is comparatively slow.
Analyze the site's speed and make necessary modifications to enhance page loading speed, such as reducing marketing scripts and optimizing them via a TMS audit and cleanup process (including ensuring asynchronous script loading and removal of unnecessary scripts) and addressing other simple fixes, eg. image lazy-loading.
The analytics scripts are scattered and challenging to maintain.
Install a tag management system and consolidate all scripts into a single container according to industry best practices.
The website experienced non-trackable issues, random console errors, and "oops" errors across the website due to changes made in GTM.
Roll back to the previous container version, troubleshoot the changes made, and fix the new marketing tag and variable causing the issues. Establish a GTM-container QA workflow for testing the changes on a development instance before implementing them on the live site.
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