Best E-Commerce Analytics Software & Tools



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Minubo
4.3
(57 reviews)
Price: From 0.00 €
minubo is an all-in-one business intelligence solution optimized for e-commerce, enhancing profitability and customer value.

Roi tracking

Data collection

plus 28 more

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Syndigo
4.1
(18 reviews)
No price information
Syndigo provides industry-leading MDM, PIM, PXM, Syndication and Digital Shelf Analytics for enhanced data control and customer experiences.
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AMVisor
4.5
(12 reviews)
No price information
AMVisor enhances collaboration between vendors and Amazon, ensuring product availability. Features include a Margin Calculator, Content Monitor, and alert system.
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Countly
3.9
(8 reviews)
Price: From 0.00 €
Countly is a GDPR-compliant analysis tool for tracking product performance and customer behavior across platforms, offering personalized customer experience.

Api / integrations

Performance and reliability

plus 1 more

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mixpanel
4.2
(34 reviews)
Price: From 0.00 €
Mixpanel provides real-time, cross-device data analysis to enhance user experience and improve product. It features interactive reports, customizable dashboards, and alerts.
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Adverity
4.3
(25 reviews)
No price information
Adverity is an automated data platform granting centralized company performance view by merging various data sets.

Roi tracking

Data collection

plus 13 more

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Heap
4.3
(23 reviews)
Price: From 0.00 $
Heap Analytics automatically records user actions on websites. Ideal for mid-sized firms. Gives advanced insights without additional IT needs. Free version available.

Sessions - digital analytics

Engagement

plus 13 more

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DataFeedWatch
4.5
(11 reviews)
Price: From 49.00 € / Monat
DataFeedWatch provides feed marketing for over 1,000 shopping channels. Features include automation, optimization, and performance checks, with 15 days free trial.
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kissmetrics
3.6
(11 reviews)
Price: From 299.00 $ / Monat
Kissmetrics is a marketing analytics tool for SaaS and e-commerce businesses. It analyzes customer behavior to boost growth and identifies conversion-driving elements.

Sessions - digital analytics

Engagement

plus 13 more

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Mouseflow
4.1
(7 reviews)
Price: From 0.00 €
Mouseflow performs behavior analysis for website optimization, tracking user journeys and providing friction scores.
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Cake
5.0
(4 reviews)
Price: From 0.00 €
Cake offers unlimited remote collaboration with video calls, whiteboards, and virtual offices. It integrates with popular platforms and has an affordable price.
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Hotjar Surveys
4.4
(5 reviews)
Price: From 0.00 €
Hotjar Surveys analyzes customer behavior, collects feedback via on-site suggestion box, shows user navigation with heatmaps, and provides live replays.
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ChannelAdvisor
4.0
(4 reviews)
No price information
ChannelAdvisor, established in 2001, supports 100+ global marketplaces and optimizes operational processes. Ideal for online marketplaces, distribution, marketing.
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Wilken E-Marketing Suite
3.3
(3 reviews)
No price information
Wilken E-Marketing Suite offers CRM and email marketing tools, including address database, reports, individualized campaigns, and GDPR compliance.
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PreisHoheit
4.5
(1 reviews)
No price information
PreisHoheit is a SaaS solution for e-commerce, analyzing product data globally to devise pricing strategies, optimizing margins and revenues in real time.
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OroCRM
4.5
(1 reviews)
No price information
OROCRM is a customizable, open-source software ideal for marketing campaigns. It offers CRM services, data segmentation, and modular web applications.
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Segmentify
4.5
(1 reviews)
Price: From 849.00 € / Monat
Segmentify offers real-time, AI-based e-commerce personalization, boosting sales through targeted offers and unique shopping experiences. Includes a 14-day free trial.
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Profitero
4.0
(1 reviews)
No price information
Profitero accelerates sales and saves time with actionable data and insights, strengthens digital supply chain, increases search visibility, and optimizes ads.
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Foxintelligence
4.0
(1 reviews)
Price: From 0.00 €
Foxintelligence is an all-in-one, real-time platform for consumer insights from anonymized transaction data. It features extensive filter options and competitor analysis.
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Criteo Mobile App Advertising
3.5
(1 reviews)
No price information
Criteo Mobile App Advertising uses machine learning for efficient app installs, engagement, and retargeting. It boosts in-app-conversions with dynamic ads.

More about Best E-Commerce Analytics Software & Tools

What is E-Commerce Analytics Software?

E-Commerce Analytics Software is a digital solution that optimizes and automates the process of data collection, analysis, and reporting for online shops and e-commerce businesses. This software targets companies across various industries that regularly conduct online sales and aim to make their sales processes more efficient. This includes retailers, wholesalers, brand manufacturers, marketplaces, and subscription services.

The applications of E-Commerce Analytics Software are diverse. It is used to analyze sales data, understand customer behavior, optimize marketing campaigns, and improve the overall efficiency of e-commerce operations. By automating these processes, companies can save time and resources while enhancing the quality and coherence of their business decisions.

A central feature of E-Commerce Analytics Software is its ability to digitalize the entire analysis process. This can be achieved through the use of web-based platforms, mobile apps, or integrated systems. Companies can input sales data, generate reports, and gain insights to improve their business strategies.

Moreover, E-Commerce Analytics Software often provides real-time monitoring and reporting functions, enabling companies to maintain a precise overview of their sales data and performance. This is particularly important for adhering to business strategies and optimizing e-commerce operations.

Features of E-Commerce Analytics Software

Sales Data Analysis

A core technical feature of E-Commerce Analytics Software is sales data analysis. This feature allows companies to efficiently collect, store, and analyze sales data. This can be done through various interfaces such as web portals, mobile devices, or APIs. Sales data analysis saves time and reduces the need for manual data processing. Companies can gather sales data, identify trends, and monitor the performance of their products.

Customer Behavior Analysis

Customer behavior analysis helps companies better understand their customers' actions. This feature involves tracking and analyzing customer behavior, preferences, and engagement. It enhances the personalization and targeting of marketing campaigns.

Data Security and Privacy

Another essential feature of E-Commerce Analytics Software is the secure handling and storage of data. This includes measures to comply with data protection regulations such as GDPR. The software should use encryption technologies to protect data during transmission and storage. Furthermore, access controls and authentication mechanisms should be implemented to ensure that only authorized personnel have access to the data. Data security and privacy are crucial for gaining customer trust and meeting legal requirements.

Real-Time Monitoring and Reporting

Real-time monitoring and reporting allow companies to track the status of all sales data in real-time. This feature provides a visual representation of performance, showing which products are selling well and which marketing campaigns are successful. Reports can be generated in real-time and exported as needed. These data help analyze the efficiency of e-commerce operations and optimize business strategies. Additionally, real-time monitoring is vital for adhering to business strategies and managing e-commerce operations.

Integration with Existing Systems

The integration capability of E-Commerce Analytics Software with existing systems and processes is a key technical feature. This integration can include various systems such as CRM systems, ERP systems, marketing automation tools, and other e-commerce applications. Seamless integration ensures consistent and efficient workflows. For example, the software can automate the synchronization of sales data with the company's CRM system. This increases efficiency and improves the management of business data throughout the company.

Who Uses E-Commerce Analytics Software?

Retailers and Online Shops

For retailers and online shops, E-Commerce Analytics Software is an indispensable solution for making the sales process efficient. The software helps capture sales data, analyze customer behavior, and optimize marketing campaigns. Companies use the software to gather sales statistics, identify trends, and ensure their marketing strategies are effective. Additionally, retailers can better plan their product ranges and manage inventory efficiently with this software.

Wholesalers and Brand Manufacturers

Wholesalers and brand manufacturers use E-Commerce Analytics Software to optimize their sales and distribution processes. The software allows these companies to efficiently analyze sales data and identify trends. Wholesalers and brand manufacturers can ensure that their products meet market demands and that distribution strategies run smoothly with this software.

Marketplaces

Marketplaces use E-Commerce Analytics Software to regulate the operation and management of their sales data and ensure the quality of their services. The software enables easy and quick data collection, analysis, and reporting of sales data. Marketplaces can thus ensure that all sales data comply with business standards and legal requirements.

Subscription Services

Subscription services use E-Commerce Analytics Software to optimize subscription management and sales data analysis. The software allows for quick and reliable data collection and management, which is particularly advantageous during peak periods. Additionally, the software can help monitor compliance with business and security policies by automating the analysis process and selecting qualified employees. Subscription services can also generate essential statistics and reports to further optimize operations and customer retention with this software.

Benefits of E-Commerce Analytics Software

Increased Efficiency and Time Savings

Using E-Commerce Analytics Software significantly speeds up the process of data collection and analysis. Instead of manually capturing and analyzing sales data, employees can quickly and easily perform their tasks through digital platforms. This reduces waiting times and frees up the team to focus on other essential tasks. Automatic data capture and processing save time and minimize administrative effort.

Improved Security and Compliance

E-Commerce Analytics Software significantly improves security and compliance within companies. By digitally capturing and monitoring all sales data, only authorized personnel can access the data. The software can manage access permissions and integrate sales data with existing security systems to provide a comprehensive security solution. Additionally, the software helps ensure compliance with data protection and company policies by ensuring that sales data are protected and only accessible to authorized persons.

Professional Data Management

With E-Commerce Analytics Software, companies can present a professional and organized impression to their customers and partners. The automated process and seamless communication ensure that sales data are captured and analyzed promptly and reliably. The software enables companies to customize workflows individually, providing user guides, training, and feedback. A well-organized data management process contributes to the positive perception of the company and strengthens customer and partner relationships.

Real-Time Monitoring and Reporting

The ability to monitor and report in real-time is another significant advantage of E-Commerce Analytics Software. Companies can always track which products are selling well and which marketing campaigns are successful. This is particularly useful for managing sales data and planning resources. With high sales volumes, it can quickly be determined which products should be prioritized. Additionally, the collected data can be used to analyze sales and marketing trends and optimize business strategies. Reports and statistics can be generated and exported in real-time to make informed decisions.

Cost Reduction

E-Commerce Analytics Software can also help reduce costs. By automating the data capture and analysis process, administrative tasks are reduced, and the need for manual processes is minimized. This leads to lower operating costs and more efficient use of personnel resources. Additionally, improved security and professional data management can minimize potential risks and costs associated with security incidents or compliance violations.

Integration and Scalability

Another advantage of E-Commerce Analytics Software is its ability to integrate seamlessly with existing systems and processes. The software can be linked with CRM systems, ERP systems, marketing automation tools, and other e-commerce applications to provide a comprehensive and integrated solution. Furthermore, the software is scalable and can be adapted to the growing needs of the company. Regardless of the company's size or the volume of sales data, the software can be used and expanded flexibly.

Selection Process for the Right Software

Creating a Long List

The first step in selecting the right E-Commerce Analytics Software is to create a long list. This begins with extensive research to compile a list of potential providers and solutions. Various sources should be used, such as industry reports, online reviews, recommendations from business partners, and trade magazines. The goal is to identify a wide range of solutions that could meet the company's basic requirements. This list should include all relevant providers, regardless of whether there are already specific preferences.

Defining Requirements

The next step is to define the specific requirements that the E-Commerce Analytics Software must meet. This includes determining the desired features, such as sales data analysis, customer behavior analysis, data security, real-time monitoring, and integration with existing systems. Budgetary guidelines, scalability, and support requirements should also be considered. A detailed list of requirements helps review the long list and filter out providers that do not meet the established criteria.

Creating a Short List

With the defined requirements in mind, review the long list and reduce it to a short list of 5-10 providers that meet the most critical criteria. Consider functionalities, technical specifications, user-friendliness, and provider references. The price-performance ratio should also play a role. The providers on the short list should be those that best meet the company's needs.

Conducting Demos and Tests

The next step is to organize demos and test phases with the providers on the short list. This allows you to experience the E-Commerce Analytics Software in practice and evaluate its usability and functionality. Detailed questions should be asked, and scenarios relevant to your business's daily operations should be played out. It is also essential to test the responsiveness and support of the providers to ensure they are reliable and competent.

Evaluation and Comparison

After the demos and tests, evaluate the various solutions using a structured evaluation grid. The established requirements should serve as the evaluation basis. Aspects such as user-friendliness, flexibility, scalability, integration options, and support should be evaluated and compared. The feedback from employees who participated in the tests should also be considered. The goal is to create a well-founded basis for the final decision.

Obtaining References and Reviews

Before making a final decision, obtain references and reviews from other companies that already use the software. This can be done through direct contact with reference customers or by reading experience reports and reviews on independent platforms. Specifically, ask for experiences relevant to your company to get a comprehensive picture of the strengths and weaknesses of the solutions.

Negotiations and Contract Conclusion

Once a preferred solution is identified, negotiations begin. This involves pricing, licensing models, contract durations, and support options. Ensure that all critical points are contractually documented and that there are no ambiguities. Possible adjustments and future expansions should also be discussed and included in the contract.

Implementation and Training

After signing the contract, the implementation of the E-Commerce Analytics Software begins. Work closely with the provider to integrate the software into existing systems and make all necessary adjustments. At the same time, organize training sessions for the employees who will use the software. The goal is to ensure a smooth introduction and high acceptance of the new solution within the company.

Monitoring and Optimization

After implementation, continuously monitor the use of the E-Commerce Analytics Software and gather feedback from users. Based on this feedback, optimizations and adjustments can be made to ensure that the software is used optimally and provides the desired added value. Regular updates and further developments of the software should also be considered and implemented to ensure long-term efficiency and security.