Digital Customer Experience Framework

Digital Customer Experience Framework

Digtial Customer Experience Framework

How to benchmark readiness

A Digital Customer Experience (CX) (Readiness) Framework

Summary

This blog post introduces a comprehensive framework to assess and enhance the digital customer experience (CX) readiness across different stages of organizational maturity. It begins by discussing the initial “Aware” stage, where organizations recognize the importance of CX but lack detailed processes and systems to manage it effectively. As organizations progress to the “Investigating” stage, they start designing target customer profiles, outline CX objectives, and identify key touchpoints, laying the groundwork for a structured approach to CX.

In the “Active” stage, companies implement a detailed CX roadmap, establish systems to capture customer insights, and actively use customer personas to refine their strategies. The “Committed” stage sees CX receiving full support from top management, with dedicated budgets and strategic decisions influenced by customer insights. Lastly, the “Innovating” stage represents the pinnacle of CX maturity, where continuous customer feedback drives innovation in products and services, firmly embedding CX as a core strategic tool across the organization.

This framework serves as a guide for companies to evaluate their current stage of CX maturity and provides a pathway for advancing their CX initiatives to drive business growth and customer satisfaction.

Customer Experience Framework Illustration

A Digital Customer Experience Framework Visual

Brand Experience

Brand Experience encompasses every interaction a customer has with a brand, from visual identity and communication to customer service and product satisfaction. It’s about creating a cohesive and positive perception that resonates emotionally and intellectually with customers. Effective Brand Experience builds loyalty and advocacy by aligning all aspects of a company’s presentation and behavior with its values and promises. Organizations focus on delivering consistent messaging across all touchpoints, ensuring that the brand identity supports and enhances the overall customer experience.

Product Experience

Product Experience refers to the customer’s journey with a product, from initial discovery through purchase and use. It involves the functionality, usability, and emotional response to the product. A strong Product Experience is crucial for customer satisfaction and retention, driving repeat business and word-of-mouth recommendations. Companies strive to understand and improve how features, benefits, and performance of their products meet the expectations and needs of consumers.

Online Visibility

Online Visibility is about ensuring a brand or product can be easily found and seen on the internet. This includes strategies encompassing search engine optimization (SEO), social media presence, content marketing, and online advertising. The goal is to appear prominently where potential customers are likely to search for related products or services, thus increasing traffic and the potential for conversion. Enhanced online visibility leads to greater brand recognition and customer acquisition.

Further reading recommendation: SemRush Online Visibility

User Experience (UX)

User Experience involves optimizing the end-to-end interaction between a customer and a digital interface, such as a website, app, or software. UX focuses on designing products that are easy to use, accessible, and enjoyable. Effective UX design improves customer satisfaction and loyalty through thoughtful layout, intuitive navigation, and quick, satisfying interactions. It also involves addressing the needs and limitations of users, ensuring that the digital aspects of customer interaction are seamless and enriching.

Further reading recomendation: Harvard Business Review – Customer Experience Is Everyone’s Responsibility

Checkout Experience

Checkout Experience Checkout Experience is critical in e-commerce and retail, focusing on the process customers go through to complete a purchase. A smooth, hassle-free checkout experience is vital for reducing cart abandonment and increasing conversions. This involves minimizing steps, ensuring transparency in pricing, offering multiple payment options, and optimizing the process for speed and security. Enhancing the checkout experience can significantly impact customer satisfaction and return rates.

Conversion Rate Optimization

Conversion Rate Optimization involves systematically improving the online shopping experience to increase the percentage of visitors who complete a desired action, such as making a purchase or subscribing to a service. CRO uses a variety of techniques including A/B testing, user feedback, and analytics to understand barriers to conversion and to test new solutions that enhance user interactions. By focusing on CRO, businesses can more effectively turn their traffic into revenue, ensuring that their digital presence is not just visible but also effective.

Further reading recommendation: KonversionsKraft – Conversion Optimierung (German), boostertheme.com – The CRO Checklist on Google Sheets

Technical Experience (TX)

Technical Experience refers to the user’s interaction with the technological aspects of a product or service. It focuses on the performance, reliability, and the technical smoothness of customer interactions. Ensuring robust technical experiences involves optimizing system architecture, ensuring quick load times, minimal downtime, and responsive technical support. A positive technical experience is essential for maintaining customer trust and satisfaction, particularly in increasingly digital environments.

Further reading recommendation: Google Page Speed Insights

Aware Stage

At the initial “Aware” stage, an organization recognizes the basic principles of customer experience (CX) but lacks formal processes and documentation for mapping and enhancing the customer journey. The absence of systematic customer insight capture indicates a nascent understanding of CX dynamics. As organizations begin to design their CX roadmap, they move from a foundational awareness towards a more structured approach.

Investigating Stage

During the “Investigating” stage, organizations take concrete steps towards defining their CX strategy. This involves creating detailed profiles of target customers and outlining specific CX objectives. Identifying key touchpoints along the customer journey allows for preliminary mapping and visualization of the customer’s interaction with the brand. This stage lays the groundwork for a systematic approach to CX by focusing on understanding and structuring the customer’s experience.

Active Stage

The “Active” stage signifies a mature approach to CX implementation. Organizations have a clearly defined CX roadmap and have established mechanisms for capturing and utilizing customer insights. Target customer profiles and personas are not only designed but actively used to tailor experiences. The adoption of an Objectives and Key Results (OKR) framework ensures that CX initiatives are measurable and aligned with broader business goals. This stage demonstrates a proactive commitment to integrating customer needs into the operational framework.

Committed Stage

At the “Committed” stage, CX becomes a priority at the highest levels of management, with formal approval of the CX roadmap and dedicated budget allocations for CX projects. The insights gained from continuous customer feedback directly influence strategic decisions, reflecting a deep integration of customer understanding in business operations. Regular interaction and testing with customer groups ensure ongoing refinement of the customer experience.

Innovating Stage

In the “Innovating” stage, customer insights are not just part of the CX strategy; they drive product and service innovation. CX is recognized as a core component of the brand strategy and is embedded across all organizational units, facilitating a culture that prioritizes customer-centric innovation. This stage represents the zenith of CX maturity, where ongoing customer engagement and feedback loops are instrumental in driving business growth and innovation.

The Seventy 2 Digital

Axel Rübenhagen

Reutlingen

SEMRush.Trends Market Explorer All Domains Report

SEMRush.Trends Market Explorer All Domains Report Changes March 2024

SEMRush.Trends Market Explorer All Domains Report Changes as of March 2024

Strategic Implications of SEMRush’s Dimension Changes for Business Intelligence

SEMRush’s recent update to the “Trends Market Explorer All Domains Report” dimensions involves significant changes that necessitate a strategic realignment of business intelligence (BI) systems, such as Power BI. These updates have profound implications for how businesses track, analyze, and report on digital marketing metrics. Here’s an in-depth look at the strategic implications of these changes, focusing on the necessity of adapting mapping structures, preserving data history, and understanding the implications of these adjustments.

Key Implications of SEMRush’s Updated Dimensions

Vital Mapping from New to Old Dimensions: The updates involve more than just a renaming of metrics; they represent a shift in how data is categorized and analyzed. It is crucial for organizations to map these new dimensions back to the old ones where necessary to maintain continuity in long-term data analysis and reporting. This mapping ensures that historical data remains relevant and comparable, facilitating trend analysis and strategic decision-making.

Preservation of Data History: One of the biggest challenges with any change in data reporting is maintaining an unbroken historical record that allows for accurate year-over-year comparisons. Businesses must adjust their BI tools to integrate new data while preserving the old metrics in some form, ensuring that historical data is not lost but instead enriched with the new structures.

Understanding Changes for Strategic Adjustments: Fully grasping the scope and impact of these changes is essential for businesses to adapt their strategies effectively. The detailed categorization of traffic sources, for instance, allows for more precise targeting in SEO and paid advertising strategies. Understanding these changes can help businesses refine their tactics to better meet their objectives.

Strategic Actions to Take

Update BI Tools: Ensure that tools like Power BI are updated to reflect the new SEMRush dimensions. This might include updating data import scripts, dashboards, and visualizations to incorporate the new terminology and structures.

Train Your Team: Educate your analytics and marketing teams on the new dimensions and what they mean for your ongoing strategies. Understanding these changes can help in leveraging the full potential of the data provided.

Audit Historical Data: Conduct audits of your historical data to ensure that it aligns well with the new data structures. This may involve creating parallel tracking for a period to ensure that the transition is smooth and that data integrity is maintained.

Conclusion

The changes introduced by SEMRush in the reporting dimensions require a thoughtful approach to data management and strategy adjustment in BI tools. By effectively mapping new metrics to old, preserving historical data integrity, and fully understanding the implications of these changes, businesses can enhance their decision-making processes and maintain a competitive edge in the digital marketplace.

Detailed Listing of Changes

Mapping.OldMapping.New
Average Visit Duration
Average Visit Duration changeAvg. Visit Duration change
Average Visit Duration change %Avg. Visit Duration change %
Average Visit Duration currentAvg. Visit Duration current
Average Visit Duration previousAvg. Visit Duration previous
Bounce Rate
Bounce Rate changeBounce Rate change
Bounce Rate change %Bounce Rate change %
Bounce Rate currentBounce Rate current
Bounce Rate previousBounce Rate previous
Conversion
Conversion changePurchase Conversion change
Conversion change %Purchase Conversion change %
Conversion currentPurchase Conversion current
Conversion previousPurchase Conversion previous
Direct
Direct changeDirect Traffic change
Direct change %Direct Traffic change %
Direct currentDirect Traffic current
Direct previousDirect Traffic previous
Display Ads
Display Ads changeDisplay Ads Traffic change
Display Ads change %Display Ads Traffic change %
Display Ads currentDisplay Ads Traffic current
Display Ads previousDisplay Ads Traffic previous
DomainDomain
Email
Email changeEmail Traffic change
Email change %Email Traffic change %
Email currentEmail Traffic current
Email previousEmail Traffic previous
Organic Search
Organic Search changeOrganic Search Traffic change
Organic Search change %Organic Search Traffic change %
Organic Search currentOrganic Search Traffic current
Organic Search previousOrganic Search Traffic previous
Organic Social
Organic Social changeOrganic Social Traffic change
Organic Social change %Organic Social Traffic change %
Organic Social currentOrganic Social Traffic current
Organic Social previousOrganic Social Traffic previous
Pages Per Visit
Pages Per Visit changePages / Visit change
Pages Per Visit change %Pages / Visit change %
Pages Per Visit currentPages / Visit current
Pages Per Visit prevPages / Visit previous
Paid Search
Paid Search changePaid Search Traffic change
Paid Search change %Paid Search Traffic change %
Paid Search currentPaid Search Traffic current
Paid Search previousPaid Search Traffic previous
Paid Social
Paid Social changePaid Social Traffic change
Paid Social change %Paid Social Traffic change %
Paid Social currentPaid Social Traffic current
Paid Social previousPaid Social Traffic previous
Referral
Referral changeReferral Traffic change
Referral change %Referral Traffic change %
Referral currentReferral Traffic current
Referral previousReferral Traffic previous
Share Of VisitsShare of Visits
Total
Total changeTotal Traffic change
Total change %Total Traffic change %
Total currentTotal Traffic current
Total previousTotal Traffic previous
Unique Visitors
Unique Visitors changeUnique Visitors change
Unique Visitors change %Unique Visitors change %
Unique Visitors currentUnique Visitors current
Unique Visitors previousUnique Visitors previous

Python Transformation Code

import pandas as pd
import os

def verify_file_path(path):
    """Check if a file exists at the given path and print a message."""
    if os.path.exists(path):
        print(f"File found: {path}")
        return True
    else:
        print(f"File not found: {path}")
        return False

def transform_and_prepare_for_power_bi(input_file_path, mapping_file_path, output_file_path):
    # Verify file paths
    if not verify_file_path(input_file_path) or not verify_file_path(mapping_file_path):
        return  # Exit the function if any file is missing

    # Load the mapping table with the correct delimiter
    mapping_data = pd.read_csv(mapping_file_path, delimiter=';')
    mapping_dict = mapping_data.dropna().set_index('Mapping.New')['Mapping.Old'].to_dict()

    # Load the data
    data = pd.read_csv(input_file_path)

    # Rename columns according to the mapping table, reindex to ensure all 'Mapping.Old' columns are present
    data_transformed = data.rename(columns=mapping_dict).reindex(columns=mapping_data['Mapping.Old'].tolist(), fill_value="")

    # Filling missing values - empty strings for text, 0 for numbers
    text_columns = data_transformed.select_dtypes(include=['object']).columns
    numeric_columns = data_transformed.select_dtypes(include=['number']).columns
    data_transformed[text_columns] = data_transformed[text_columns].fillna("")
    data_transformed[numeric_columns] = data_transformed[numeric_columns].fillna(0)

    # Save the transformed data
    data_transformed.to_csv(output_file_path, index=False, encoding='utf-8')
    print(f"Data transformed and saved successfully to {output_file_path}")

# Define file paths within the main block of the script to ensure they are recognized
input_file_path = 'Your Input File Path!\\2024-03-Worldwide.csv'
mapping_file_path = 'Your Mapping File Path!\\mapping-semrush.csv'
output_file_path = 'Your Output Path!\\Transformed_Data_for_PowerBI.csv'

# Run the transformation function
transform_and_prepare_for_power_bi(input_file_path, mapping_file_path, output_file_path)

Exploring E-Commerce Marketplace Traffic: Insights from Semrush.Trends

Management Summary

In the ever-evolving landscape of e-commerce, understanding where your traffic comes from is as crucial as the products you sell. The most recent statistics from Semrush.Trends, spanning an extensive period from November 2022 to January 2024, provide priceless understanding of the traffic sources driving the top 20 global marketplace domains. Here’s how these platforms are mastering the art of online visibility and engagement.

Global Marketplace Traffic Index - All Channels

Unlock Your Marketplace’s Potential: Explore Traffic Insights Now!

The study shows how e-commerce websites attract customers from different sources. These sources include direct visits, search engines, social media, paid ads, referrals, display ads, and emails.

This information shows how major online companies such as Amazon and eBay are leading the market. It also shows how smaller, local companies are making a big impact with specialized strategies worldwide.

Marketplace Traffic Index Findings

Direct Traffic 🎯:

Global Marketplace Traffic Index - Direct Traffic

Amazon.com leads with an astounding 41.8 billion visits, signifying brand strength and customer loyalty.

Organic Search 🌱:

Global Marketplace Traffic Index - Organic Traffic

Amazon.com again takes the crown with 15.3 billion searches, highlighting the importance of SEO.

Organic Social 📱:

Global Marketplace Traffic Index - Organic Social Traffic

Amazon.com tops with 1.2 billion engagements, showcasing the power of social media presence.

Paid Search 💸:

Global Marketplace Traffic Index - Paid Traffic

MercadoLibre.com.br leads with over 306 million searches, emphasizing strategic paid search campaigns.

Paid Social 🚀:

Global Marketplace Traffic Index - Paid Social Traffic

Amazon.com dominates with 82.9 million engagements, reflecting effective targeted advertising on social platforms.

Referral Traffic 🔗:

Global Marketplace Traffic Index - Referral Traffic

Amazon.com is at the forefront with 5.8 billion referrals, indicating strong network connections and partnerships.

Display Ads 🖼️:

Global Marketplace Traffic Index - Display Traffic

MercadoLibre.com.br excels with 65.6 million ads, underlining the visual appeal in capturing attention.

Email Marketing 📧:

Global Marketplace Traffic Index - Email Traffic

Amazon.com leads with 273 million emails, proving the enduring value of email communication.

Conclusion

The diversity in traffic acquisition strategies among the top e-commerce platforms underscores a vital truth: there’s no one-size-fits-all approach to digital marketing. While Amazon’s dominance is clear across several channels, the success of regional marketplaces like MercadoLibre and Lazada highlights the importance of localized strategies tailored to specific audiences and markets.

Recommendation

For businesses looking to enhance their e-commerce success, consider the following strategic imperatives:

Diversify Traffic Sources: Don’t rely solely on one channel. A multi-channel approach ensures stability and wider reach.

Invest in SEO and Content: Organic search remains a cornerstone for long-term success. Prioritize high-quality, SEO-optimized content.

Leverage Social Media: Use organic and paid social media to engage directly with your audience and build brand loyalty.

Embrace Email Marketing: Despite the rise of new platforms, email remains a critical tool for direct communication and retention.

Analyze and Adapt: Regularly review your traffic and conversion data to understand what works best for your audience and adjust your strategies accordingly.

In a rapidly changing digital environment, understanding and leveraging diverse traffic channels can significantly impact your e-commerce platform’s visibility and success. Adapt, innovate, and always keep your audience at the heart of your digital strategy.

Stay Connected with Us

Let’s Create Together

Connect with us to explore how we can make your vision a reality. Join us in shaping the future.

Data-Driven Marketplace Traffic Index: Semrush.Trends Insights

The Seventy 2 Digital Data-Driven Marketplace Traffic Index

Data-Driven Marketplace Traffic Index

by The Seventy 2 Digital

What is the The Seventy 2 Digital Marketplace Traffic Index?

Semrush.Trends | The Seventy 2 Digital Marketplace Traffic Index: A Comprehensive Analysis of 100 Domains from 42 Countries Across Key Digital Marketing Channels for Data-Driven Marketplace Insights. digital marketing traffic channel insights for top global brands such as Allegro, Alibaba, Amazon, eBay, Lazada, Rakuten, Walmart, Zalando, and more, all within one comprehensive monthly rolling traffic index.

Global Marketplace Traffic Index – Channel Insights

The latest Semrush.Trends data, spanning November 2022 to January 2024, reveals key insights into the traffic sources for the top 20 global e-commerce marketplaces, highlighting their strategies for online visibility and engagement.

Global Marketplace Traffic Index – All Acquisition Channels

The Seventy 2 Digital Global Marketplace Traffic Index

Marketplace Channel CMGRs

Global Marketplace Traffic Index – Direct and Organic Acquisition Channel

The Seventy 2 Digital Global Marketplace Traffic Index - Direct - Organic

Global Marketplace Traffic Index – Paid and Display Acquisition Channel

The Seventy 2 Digital Global Marketplace Traffic Index - Paid - Display

Global Marketplace Traffic Index – Referral and E-Mail Acquisition Channel

The Seventy 2 Digital Global Marketplace Traffic Index - Referral - EMail

Global Marketplace Traffic Index – All In One View Acquisition Channels

The Seventy 2 Digital Global Marketplace Traffic Index - All In One

Global Marketplace Traffic Index – Correlation Matrix of Acquisition Channels

The Seventy 2 Digital Global Marketplace Traffic Index - Digital Marketing Channel Correlation

How to read

Correlation Analysis Python | The correlation matrix provides the correlation coefficients between different digital marketing channels, which range from -1 to 1. A value closer to 1 indicates a strong positive correlation, meaning as one channel increases, the other tends to increase as well. A value closer to -1 indicates a strong negative correlation, meaning as one channel increases, the other tends to decrease. A value around 0 indicates no significant correlation.

Analysis and Interpretation

Direct and Organic Search: With a correlation of 0.78, there’s a strong positive correlation, suggesting that increases in direct traffic are often accompanied by increases in organic search traffic. This could indicate that strong brand recognition boosts both direct visits and organic search queries.

Direct and Referral: The correlation coefficient of 0.74 suggests a strong positive relationship, indicating that successful referral strategies might also enhance direct traffic, possibly due to increased brand awareness.

Organic Social and Referral: A correlation of 0.68 shows a strong positive relationship, implying that effective organic social media efforts can lead to increased referral traffic, perhaps through shared content.

Paid Search and Display Ads: The correlation of 0.43 suggests a moderate positive relationship, indicating some level of coordination or complementary effect between these paid channels.

Paid Social and Display Ads: With a correlation of 0.44, there’s a moderate positive correlation, suggesting that campaigns in these channels might share common objectives or audiences.

Organic Channels (Direct, Organic Search, Organic Social) and Referral: These channels show strong to moderate positive correlations with each other, indicating a cohesive impact of organic marketing efforts on driving traffic.

Lower Correlations

Email with Other Channels: Email generally shows lower correlations with other channels (ranging from 0.33 to 0.48), indicating its performance might be more independent of the other digital marketing activities. This could suggest that email engagement is driven by factors distinct from other channels, such as personalized content and subscriber behavior.

Interpretation

The strong correlations between organic channels (Direct, Organic Search, Organic Social) suggest that a well-integrated content strategy that boosts one can have a positive impact on the others.

The moderate correlations between paid channels (Paid Search, Paid Social, Display Ads) indicate these efforts might complement each other, but the strategic alignment or targeted audiences might differ, reducing direct impact.

Lower correlations involving Email suggest that email marketing performance is less directly influenced by the performance of other channels, possibly due to the unique nature of email interactions and the direct relationship with the audience.

Overall, this correlation matrix highlights the interconnectedness of digital marketing channels, underscoring the importance of a holistic and integrated approach to digital marketing strategy. Strategies that effectively leverage the strengths and relationships between channels can optimize overall marketing performance. ​

Global Marketplace Traffic Index – Conversion Rate Development

Global Marketplace Traffic Index - Conversion Rate Development

Further Information

The Marketplace Traffic Index covers the following countries: Argentina (AR), Australia (AU), Belgium (BE), Brazil (BR), Canada (CA), Chile (CL), China (CN), Colombia (CO), Croatia (HR), Czech Republic (CZ), Denmark (DK), France (FR), Germany (DE), Hong Kong (HK), Hungary (HU), India (IN), Indonesia (ID), Italy (IT), Japan (JP), Kazakhstan (KZ), Malaysia (MY), Mexico (MX), Netherlands (NL), Peru (PE), Philippines (PH), Poland (PL), Romania (RO), Singapore (SG), Slovakia (SK), Slovenia (SI), South Africa (ZA), South Korea (KR), Spain (ES), Sweden (SE), Switzerland (CH), Taiwan (TW), Thailand (TH), Turkey (TR), United Arab Emirates (AE), United Kingdom (GB), United States (US), Vietnam (VN).

Special note on China: While marketplaces such as Jing Dong, Alibaba Taobao/Tmall are included, it’s important to highlight that only global (worldwide) traffic data for domains outside China is captured due to limitations in data sourcing.

Companies covered: Aboutyou, Allegro, Amazon, Bloomingdales, Bol, Breuninger, Clasohlson, Cdiscount, Coupang, Czc, De Bijenkorf, Dillards, eBay, Elcorteingles, Emag, Farfetch, Flipkart, Galaxus, Hepsiburada, Hktvmall, Inno, JD, Johnlewis, Kaufland, Kaspi, Kleinanzeigen, Kmart, Lazada, Luisaviaroma, Macys, Mall, Mediamarkt, Mercadolibre, Mimovrste, Momoshop, Myntra, Myer, Noon, Nordstrom, Printemps, Rakuten, Rinascente, Ruten, Saksfifthavenue, Shopee, Ssg, Taobao, Takealot, Target, Thebay, Tmall, Trendyol, Vinted, Wedo, Zalando, Zozo.

Stay Connected with Us

Let’s Create Together

Connect with us to explore how we can make your vision a reality. Join us in shaping the future.

Horizontal vs. Vertical Marketplaces: What’s the Difference

Horizontal vs. Vertical Marketplaces: What's the Difference

Horizontal vs. Vertical Marketplaces

What’s the difference?

Horizontal Marketplaces

A Horizontal Marketplace is an online platform that offers a wide variety of products or services across multiple categories, catering to a broad range of consumer needs. Examples include general retailers that sell items ranging from electronics to clothing and household goods. The key advantage of horizontal marketplaces is their ability to serve as a one-stop shop, providing convenience and a diverse selection to customers.

Pros

Wide Selection: Horizontal platforms offer a broad range of product categories, making them a one-stop shop for customers looking for diverse items.

Economies of Scale: These platforms can leverage economies of scale in operations, marketing, and logistics, potentially leading to lower prices for consumers.

Market Reach: Attract a wider audience by catering to varied interests and needs, increasing their market reach and customer base.

Cons

Less Specialization: May lack depth in specific categories compared to vertical platforms, potentially impacting the quality or variety of niche products.

Competition: Face intense competition across multiple categories, making it challenging to dominate specific markets.

Paradox of Choice: The abundance of options can overwhelm customers, leading to decision fatigue and potentially deterring purchases.

Vertical Marketplaces

A Vertical Marketplace, on the other hand, specializes in a specific sector, industry, or type of product or service. These platforms focus on depth rather than breadth, offering specialized items or services within a particular niche. Examples can include marketplaces dedicated to handmade crafts, luxury fashion, or specific types of electronics. Vertical marketplaces are known for their expertise, quality, and the curated experience they offer to both buyers and sellers in their particular domain.

Pros

Specialization and Expertise: Focus on a specific category allows for deeper knowledge, better quality, and curated selections.

Targeted Marketing: Easier to target marketing efforts and tailor the shopping experience to a specific audience’s needs and preferences.

Expertise and Quality: Offering deeper expertise and higher quality in their niche, enhancing customer trust and satisfaction.

Cons

Selected Range: By focusing on a single category or niche, they might not appeal to customers seeking variety or shopping for multiple needs at once.

Specialized Audience: Focusing on niche markets may restrict the platform to a specialized audience, limiting the potential for widespread market penetration and growth.

Niche Market Vulnerability: Specializing in niche markets can make vertical platforms more susceptible to fluctuations and changes within those specific markets, potentially impacting stability and growth.

The Seventy 2 Digital Data-Driven Marketplace Traffic Index

Semrush.Trends | The Seventy 2 Digital Marketplace Traffic Index: A Comprehensive Analysis of 100 Domains from 42 Countries Across Key Digital Marketing Channels for Data-Driven Marketplace Insights.

The Seventy 2 Digital Data-Driven Marketplace Traffic Index

Data-Driven Marketplace Traffic Index with Semrush.Trends

Stay Connected with Us

Let’s Create Together

Connect with us to explore how we can make your vision a reality. Join us in shaping the future.

Lokal entwickelt, global sichtbar: E-Commerce SEO Services in Reutlingen

The Seventy 2 Digital - eCommerce SEO in Reutlingen

Digitalberatung in Reutlingen

The Seventy 2 Digital – E-Commerce Expertise in Reutlingen

Willkommen bei The Seventy 2 Digital, Ihrer ersten Adresse für umfassende E-Commerce-Lösungen in Reutlingen. Als führende Digitalagentur verstehen wir die Herausforderungen und Chancen des digitalen Marktes. Unser Ziel ist es, Ihr Unternehmen nicht nur lokal zu stärken, sondern es auch international sichtbar zu machen. Entdecken Sie, wie unsere Dienstleistungen Ihren Online-Umsatz steigern können.

Mehr Umsatz durch optimierten E-Commerce

E-Commerce ist das Rückgrat des digitalen Handels, und The Seventy 2 Digital ist hier, um Ihr Geschäft zum Erfolg zu führen. Mit maßgeschneiderten Strategien zur Umsatzsteigerung verbessern wir das Einkaufserlebnis auf Ihrer Plattform und erhöhen die Conversion-Rate.

Konzeption, Beratung und Optimierung

Die digitale Landschaft verändert sich rasant. Unsere Beratungsdienste bieten individuelle Lösungen, die auf die spezifischen Bedürfnisse und Ziele Ihres Unternehmens zugeschnitten sind. Wir helfen Ihnen, Ihre digitale Präsenz zu optimieren und zukunftssicher zu gestalten.

Shop Relaunch: Support und Management

Ein Relaunch Ihres Online-Shops kann entscheidend sein, um neue Kunden zu gewinnen und Bestandskunden zu halten. Wir bieten professionelle Unterstützung und Expertise, um den Relaunch-Prozess reibungslos und effektiv zu gestalten.

Suchmaschinenmarketing für E-Commerce (SEO E-Commerce Services)

n der Welt des Online-Handels ist Sichtbarkeit alles. Unsere Dienstleistungen im Suchmaschinenmarketing optimieren Ihre Website für Suchmaschinen, verbessern Ihre Platzierung in den Suchergebnissen und steigern so Ihren Traffic und Umsatz.

Produktdaten-Marketing (Feedmanagement)

Eine ansprechende Produktpräsentation ist entscheidend für den Online-Verkauf. Wir optimieren Ihre Produktfeeds für verschiedene Plattformen, um die Sichtbarkeit und Attraktivität Ihrer Produkte zu maximieren.

Website-Optimierung (Usability)

Eine nutzerfreundliche Website ist entscheidend für den digitalen Erfolg. Unsere Dienstleistungen zur Website-Optimierung fokussieren sich auf die Verbesserung der Benutzererfahrung, was die Verweildauer erhöht und die Conversion-Rate steigert.

Coaching und Schulungen (Training)

In der digitalen Welt ist Wissen Macht. Unsere Schulungsangebote vermitteln Ihnen und Ihrem Team das nötige Know-how, um Ihre Online-Präsenz erfolgreich zu verwalten und auszubauen.

E-Commerce Beratung (Digital Consulting)

Mit unserer Expertise im E-Commerce stehen wir Ihnen zur Seite, um Ihren Online-Handel erfolgreich zu gestalten. Von der Strategieentwicklung bis zur Umsetzung unterstützen wir Sie in jedem Schritt.

The Seventy 2 Digital in Reutlingen ist mehr als nur eine Digitalagentur – wir sind Ihr Partner für digitalen Erfolg. Lassen Sie uns gemeinsam Ihre digitale Zukunft gestalten.


Here are some tactics how to engage:

Google My Business Optimization

Ensure your business is accurately listed, providing a seamless path for local customers to find you online and offline.

Local Keywords Research

Incorporate location-specific keywords, such as “Reutlingen,” into your website’s content, titles, and meta descriptions, tailoring your SEO efforts to the local audience.

Local Backlinks

Garnering backlinks from reputable Reutlingen-based websites can significantly boost your local search rankings, enhancing visibility within the community.

Expanding Reach: Strategies Beyond Borders

While local SEO roots your business in Reutlingen, expanding your reach globally necessitates a broader approach. Implement these strategies to connect with customers beyond local confines:

Mobile Optimization

With the surge in mobile commerce, ensure your website offers a seamless shopping experience across all devices.

High-Quality Content

Engage a global audience with informative, relevant content that addresses their needs, using clear language and international SEO best practices.

Technical SEO

Enhance your website’s technical foundation, including site speed, security, and structured data, to improve global search visibility

Social Media: The Bridge Between Local and Global

Social media platforms offer a unique opportunity to blend local charm with global appeal. Share stories that highlight your connection to Reutlingen, featuring local events or products, while also engaging with a broader audience through universal themes and values.

Analytics: Measuring Success in SEO

Continuous improvement in SEO strategy is grounded in data. Use analytics tools to track your performance in local and global search rankings, adjusting your tactics based on user behavior, engagement metrics, and conversion rates.

Embracing the Future of eCommerce in Reutlingen

The future of eCommerce in Reutlingen is bright, with endless opportunities for businesses willing to adapt and innovate. By mastering local SEO while casting a wider net through global SEO strategies, your business can thrive in the digital age, rooted in the rich soil of Reutlingen yet reaching customers around the world.

Stay Connected with Us

Let’s Create Together

Connect with us to explore how we can make your vision a reality. Join us in shaping the future.

Digital Beratung Reutlingen

Fashion eCommerce Funnel Correlation Analysis

Why Use Power BI for Correlation Analysis with Python?

The Seventy 2 Digital - Python integration into PowerBI.

Python for PowerBI

In the realm of data analysis and business intelligence, understanding the relationships between variables is crucial for making informed decisions. Correlation analysis, a statistical method used to determine the strength and direction of relationships between variables, is a fundamental tool in this process. While there are many platforms and programming languages available for conducting correlation analysis, integrating Power BI with Python offers a unique and powerful approach. Here’s why.

1. Combining the Best of Both Worlds

Power BI is a leading business analytics tool that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. Python, on the other hand, is a versatile programming language renowned for its simplicity, readability, and vast library ecosystem, including powerful libraries for data analysis and manipulation like Pandas, NumPy, and SciPy.

By integrating Python scripts directly into Power BI, users can leverage the statistical and computational power of Python directly within their Power BI reports. This means you can perform complex data transformations and analyses, such as correlation analysis, using Python’s libraries and then visualize the results using Power BI’s robust visualization tools.

2. Advanced Data Processing

Python’s ecosystem includes libraries like Pandas and NumPy, which offer advanced data processing capabilities that go beyond the native functionalities of Power BI. These libraries allow for efficient data cleaning, manipulation, and analysis, which are essential steps before performing correlation analysis. Integrating Python with Power BI means you can preprocess your data using Python, ensuring it is in the optimal format for analysis and visualization.

3. Customized Correlation Analysis

While Power BI offers some statistical functions, the depth and flexibility of Python’s statistical libraries like SciPy and StatsModels are unmatched. These libraries allow for more detailed and customized correlation analyses, including the calculation of Pearson, Spearman, and Kendall correlation coefficients, among others. By embedding Python scripts in Power BI, users can tailor their correlation analysis to their specific needs, including handling outliers, non-linear relationships, and non-parametric data.

4. Enhanced Visualizations

Power BI’s strength lies in its ability to create interactive and compelling visualizations. By performing correlation analysis in Python and then visualizing the results in Power BI, users can create custom visuals that are not natively available in Power BI. This includes heatmaps of correlation matrices, scatter plots with trend lines, and more. These visuals can be integrated into Power BI dashboards and reports, providing a deeper insight into the data and facilitating better decision-making.

5. Accessibility and Sharing

Power BI’s sharing and collaboration features make it easy to distribute insights across teams and organizations. By conducting correlation analysis with Python within Power BI, the results and insights can be shared through Power BI reports and dashboards, ensuring that stakeholders can access and interact with the data, regardless of their technical expertise.

Conclusion

Integrating Python with Power BI for correlation analysis offers a powerful combination of advanced data processing, customized analysis, enhanced visualizations, and easy sharing. This approach not only maximizes the strengths of both platforms but also provides a comprehensive solution for data analysts and business intelligence professionals looking to derive meaningful insights from their data. Whether you’re exploring relationships between sales and marketing efforts, customer behaviors, or operational efficiencies, using Power BI and Python together can help illuminate these connections, driving more informed decisions and strategies.

The Python Script (make sure to adapt variables to your local Power BI data set)

# The following code to create a dataframe and remove duplicated rows is always executed and acts as a preamble for your script:

# dataset = pandas.DataFrame(Add-to-cart rate (in %), AOV net (after deductions, in US$), Cart abandonment rate (in %), Conversion rate (in %), Discount rate (in %), Return rate (in %))

# The following code to create a dataframe and remove duplicated rows is always executed and acts as a preamble for your script:

# dataset = pandas.DataFrame(Add-to-cart rate (in %), AOV net (after deductions, in US$), Cart abandonment rate (in %), Conversion rate (in %), Discount rate (in %), Return rate (in %))

# dataset = dataset.drop_duplicates()

# Paste or type your script code here:

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Assuming the ‘dataset’ is already provided from the preamble

# Correct the mapping based on the actual column names as they appear in your DataFrame

# Ensure that these match the names provided in your dataset

long_names = [

    ‘Discount rate (in %)’,  # Assuming this is the correct format as per your DataFrame

    ‘Conversion rate (in %)’,

    ‘Return rate (in %)’,

    ‘AOV net (after deductions, in US$)’,  # Adjusted based on the preamble description

    ‘Add-to-cart rate (in %)’,

    ‘Cart abandonment rate (in %)’

]

short_names = [

    ‘Discount %’,

    ‘Conversion %’,

    ‘Return %’,

    ‘AOV USD’,

    ‘Add-to-cart %’,

    ‘Cart Abandon %’

]

# Create a mapping dictionary

name_mapping = dict(zip(long_names, short_names))

# Rename the columns of your dataset for visualization

dataset_renamed = dataset.rename(columns=name_mapping)

# Calculate the correlation matrix Pearson

# corr = dataset_renamed.corr()

# Calculate the correlation matrix using Spearman correlation

# corr = dataset_renamed.corr(method=’spearman’)  # Updated method to ‘spearman’

# Calculate the correlation matrix using Kendall’s Tau correlation

corr = dataset_renamed.corr(method=’kendall’)  # Updated method to ‘kendall’

# Generate a heatmap with improvements

plt.figure(figsize=(12, 10))  # Adjust figure size as needed

heatmap = sns.heatmap(corr, annot=True, cmap=’coolwarm’, fmt=”.2f”, linewidths=.05)

# Improving readability

plt.title(‘Correlation Matrix’, size=20)  # Title with a larger font size

plt.xticks(rotation=45, ha=”right”)  # Rotate x-axis labels for better readability

plt.yticks(rotation=0)  # Keep y-axis labels horizontal

plt.tight_layout()  # Adjust layout to not cut-off labels

plt.show()

Correlation Matrix Visual

Stay Connected with Us

Let’s Create Together

Connect with us to explore how we can make your vision a reality. Join us in shaping the future.

The Fashion e-Commerce Conversion Funnel: 2020 – 2023

The Fashion e-Commerce Conversion Funnel

A review of core fashion industry KPIs across markets

Management Summary

From 2020 to 2023, the Fashion e-commerce industry has shown significant growth and resilience, navigating through the challenges of a dynamic market landscape. The calculated Fashion e-Commerce Funnel findings like Year-over-Year (YoY) changes and Compound Annual Growth Rate (CAGR) for key performance indicators (KPIs) underscore the industry’s adeptness at embracing change and capturing growth opportunities.

Add-to-Cart Rate: The add-to-cart rate has experienced a YoY growth, particularly notable between 2021 and 2022 with an increase of approximately 13.68%, and from 2022 to 2023 at 11.11%. This, combined with a CAGR of 7.72%, suggests that consumers are increasingly willing to engage with online platforms and consider purchases, highlighting successful enhancements in user interface and product offerings.
Average Order Value (AOV): The AOV reflects a YoY increase, with a peak growth of 5.49% from 2020 to 2021, though a slight decline of -4.54% from 2021 to 2022, followed by a rebound of 5.45% in the subsequent year. The overall CAGR stands at 2.02%, indicating a healthy trend in consumer spending.
Cart Abandonment Rate: The cart abandonment rate has seen a rising trend YoY, with a significant spike of 16.90% from 2021 to 2022 and a further increase of 15.66% into 2023. This suggests a key area for improvement, despite a substantial CAGR of 10.58%, pointing towards the need for a more streamlined checkout process and a better overall shopping experience.
Conversion Rate: The conversion rate has remained constant YoY, with no change reported, resulting in a CAGR of 0%. This stagnation indicates potential for businesses to explore new conversion optimization strategies to convert visits into sales.
Discount Rate: There has been a consistent increase in the discount rate YoY, with the highest jump of 4.68% from 2021 to 2022, and a modest increase of 0.56% in the following year, leading to a CAGR of 2.53%. This demonstrates a strategic deployment of discounts to drive consumer purchases, which requires careful monitoring to sustain profitability.
Return Rate: The return rate has witnessed minor YoY variations, with a slight increase of 1.95% from 2020 to 2021 and a decrease of -3.18% from 2021 to 2022, before increasing again by 4.61% the following year. The overall CAGR is 1.07%, indicating that while return rates are relatively stable, there is room for improvement in matching products to consumer expectations and satisfaction.

Recommendations

Customer Experience: Intensify efforts to enhance user experiences to combat the rising cart abandonment rates.
Personalization: Advance personalization techniques to further improve add-to-cart and conversion rates.
Pricing Strategy: Refine discount strategies to optimize the balance between sales promotion and margin retention.
Quality and Returns: Strengthen quality assurance to address the fluctuating return rates and bolster consumer satisfaction.

Conclusion

Between 2020 and 2023, the e-commerce industry has demonstrated strong growth potential. To build on this trajectory, businesses should focus on innovating and adapting to the evolving consumer needs and technological landscapes, ensuring sustained success and customer value enhancement.

Conversion funnel KPIs in the Fashion e-Commerce market for selected countries

Worldwide Fashion e-Commerce Conversion Funnel at a glance

The Fashion e-Commerce Funnel

Source of Data : eCommerceDB GmbH

Digital Beratung Reutlingen

Stay Connected with Us

Let’s Create Together

Connect with us to explore how we can make your vision a reality. Join us in shaping the future.

Wachstumsförderung für digitale Startup-Hubs in Reutlingen

2nd-tier-city-in-Germany-located-south-of-Stuttgart-

Innoport Reutlingen | Stärkung der Startup-Kultur mit digitalem Innovationszentrum in Reutlingen, Baden-Württemberg

Warum eine Investition in digitale Infrastruktur für öffentliche Einrichtungen sinnvoll und notwendig ist am Beispiel des Innoport in Reutlingen.

Innovation und Kollaboration fördern

Digitale Innovationszentren in Reutlingen revolutionieren, wie Startups Innovationen entwickeln und zusammenarbeiten. Durch Bereitstellung von Zugang zu neuester Technologie und Schaffung von Netzwerkmöglichkeiten mit Technologieexperten und Investoren sind diese Zentren essenziell für die Förderung einer blühenden Innovations- und Kreativitätskultur, die für den Erfolg von Startups unerlässlich ist.

Zugriff auf Ressourcen und modernste Infrastruktur ermöglichen

Viele Startups stehen vor der Herausforderung, notwendige Ressourcen und Infrastruktur für ihr Wachstum zu erhalten. Digitale Hubs in Reutlingen bieten diese entscheidenden Ressourcen, einschließlich Hochgeschwindigkeits-Internet und zeitgemäßer Büroflächen, die Startups erlauben, sich auf ihre Hauptgeschäftsziele zu konzentrieren, ohne in eine kostspielige Anfangsinfrastruktur investieren zu müssen.

Netzwerk- und Mentoring-Möglichkeiten erweitern

Mit einem reichen Angebot an Veranstaltungen, Workshops und Meetups sind die digitalen Hubs in Baden-Württemberg ein wahrer Schatz für das Networking. Das Knüpfen von Beziehungen zu Mentoren, Investoren und anderen Unternehmern ist ein Schlüssel zum Erfolg und zur Entwicklung von Startups.

Talente anziehen und halten

Die dynamische und innovative Umgebung digitaler Hubs zieht Fachkräfte an, die darauf brennen, an spannenden Projekten mitzuarbeiten. Diese Fähigkeit, Top-Talente anzuziehen und zu binden, ist für Startups, die wachsen und ihre Angebote erweitern wollen, von entscheidender Bedeutung.

Wirtschaftswachstum und Branchenvielfalt fördern

Digitale Hubs spielen eine zentrale Rolle bei der Stimulierung des wirtschaftlichen Wachstums und der Diversifikation der lokalen Wirtschaft in Orten wie Reutlingen. Sie sind entscheidend für die Schaffung neuer Arbeitsplätze, Anziehung von Investitionen und Förderung aufstrebender Branchen.

Austausch von Wissen und akademische Partnerschaften unterstützen

Die Nähe zu akademischen Einrichtungen in Reutlingen verbessert die Möglichkeiten für Zusammenarbeit und Wissensaustausch zwischen Startups und Forschern, was zu innovativen Lösungen und technologischen Durchbrüchen führt.

Lokal vernetzen, global agieren

Raum für Kreativität, Infrastruktur für Innovationen, die INNOPORT Academy mit Workshops und Kursen zu aktuellen Themen der Zukunft.

Digital Hub in Reutlingen

Digitale Hubs bieten Startups in Reutlingen ein Sprungbrett zu globalen Märkten, Trends und Technologien und bereiten sie darauf vor, weltweit erfolgreich zu sein und zu konkurrieren. Sie sind sind von entscheidender Bedeutung für die Förderung eines lebendigen Startup-Ökosystems in Reutlingen und bieten ein umfangreiches Dienstleistungsangebot für Innovation, Zusammenarbeit und Wachstum, das Startups befähigt, herausragende Leistungen zu erbringen und einen wesentlichen Beitrag zur lokalen Wirtschaft zu leisten. Damit positioniert sich Reutlingen als ein Schlüsselakteur in der globalen Startup-Landschaft.

INNOPROT Reutlingen
Max-Planck-Str. 68/1 (Zugang über Siemensstraße)
72766 Reutlingen

https://www.innoport-reutlingen.de

Stay Connected with Us

Let’s Create Together

Connect with us to explore how we can make your vision a reality. Join us in shaping the future.

Die größten online Marktplätze Deutschlands 2022

Die größten online Marktplätze Deutschlands 2022

Die größten online Marktplätze Deutschlands 2022

Entdecken Sie die Online-Marktplätze Deutschlands 2022


The Seventy 2 Digital Data-Driven Marketplace Traffic Index

Data-Driven Marketplace Traffic Index with Semrush.Trends


Vorwort

Inhalte der Studie

Kapitel 1 – Statusaktualisierung 2022

Kapitel 2 – Treiber und Trends des Marktplatz-Booms

Kapitel 3 – Marktplatzlandschaften, Studienergebnisse und Trendanalysen

Kapitel 4 – Marktplatz-Ökosysteme

Kapitel 5 – Erfolgsfaktoren im Marktplatzgeschäft

Kapitel 6 – Ausblick und was als Nächstes kommt

Quelle

Datei zum Download


Horizontal vs. Vertical Marketplaces

Horizontal vs. Vertical Marketplaces


Vorwort

Online Marktplätze Deutschland: Die Studie “Marktplatzwelt 2022” von gominga bietet einen umfassenden Überblick über die aktuellen Trends und Entwicklungen im Bereich der Online-Marktplätze. Sie hebt die Bedeutung der Covid-Pandemie für die Beschleunigung der Digitalisierung und die Veränderung des Verbraucherverhaltens hervor.

Inhalte der Studie

Die Studie deckt verschiedene Aspekte ab, darunter die Entwicklung neuer Services für Verkäufer und Verbraucher, die Integration von Social Media und E-Commerce, den Aufstieg von D2C-Marken und Marktplatz-Aggregatoren, Investitionen im E-Commerce, die Wichtigkeit einer robusten Logistikinfrastruktur, die zunehmende Bedeutung von Marktplätzen für Marketing und Retail Media, das Management der Kundenerfahrung, die Verfügbarkeit von Standardsoftware für das Marktplatzgeschäft sowie den Trend zur Nachhaltigkeit, der Re-Commerce-Plattformen vorantreibt.

Kapitel 1 – Statusaktualisierung 2022

Dieses Kapitel befasst sich mit dem aktuellen Zustand der Online-Marktplätze und reflektiert die durch die Pandemie angetriebenen schnellen Veränderungen, die die Dynamik der Marktplätze erheblich verschoben und digitale Strategien beschleunigt haben.

Wesentliche Punkte

Diskussion darüber, wie die Pandemie die Relevanz und Nutzung von Marktplätzen beschleunigt hat.

Untersuchung des explosiven Wachstums der Marktplätze in Bezug auf Umsätze und Nutzerbasis.

Aufforderung an Unternehmen, robuste Marktplatzstrategien zu entwickeln aufgrund der zunehmenden Bedeutung von Online-Plattformen.

Kapitel 2 – Treiber und Trends des Marktplatz-Booms

Analysiert die primären Faktoren, die das Wachstum von Online-Marktplätzen beeinflussen, einschließlich der Auswirkungen der Pandemie, und gibt einen Ausblick auf zukünftige Trends.

Wesentliche Punkte

Erkundung, wie die Pandemie den digitalen Handel verändert hat, mit einem Fokus auf Nachhaltigkeit und die sich entwickelnde Rolle der Marktplätze als Medienkanäle.

Einblicke in die Wachstumsprognosen für Marktplätze, die einen starken Trend zur Internationalisierung und Nischensegmentierung zeigen.

Kapitel 3 – Marktplatzlandschaften, Studienergebnisse und Trendanalysen

Präsentiert detaillierte Ergebnisse der Studie zu den Marktplatzlandschaften und bietet einen tiefen Einblick in E-Commerce-Plattformen in der DACH-Region.

Wesentliche Punkte

Detaillierte Kartierung der Marktplatzlandschaften und ihrer Entwicklung.

Analyse von kategoriespezifischen Trends und der zunehmenden Bedeutung von Online-Bewertungen.

Fallstudien zu spezifischen Marktplätzen wie Kaufland und OTTO, die praktische Einblicke bieten.

Kapitel 4 – Marktplatz-Ökosysteme

Diskutiert die Ökosysteme, die verschiedene Marktplätze umgeben, und betont die vernetzte Natur dieser Plattformen.

Wesentliche Punkte

Einführung des “Marketplace Ecosystem Flywheel”, das die zyklischen Vorteile und das Wachstum von Marktplatz-Ökosystemen veranschaulicht.

Diskussion über die verschiedenen Geschäftsförderer innerhalb dieser Ökosysteme, wie Logistik und Datenmanagement.

Kapitel 5 – Erfolgsfaktoren im Marktplatzgeschäft

Konzentriert sich auf die kritischen Erfolgsfaktoren für den Betrieb innerhalb von Online-Marktplätzen, unterstützt durch Expertenmeinungen und praktische Berichte.

Wesentliche Punkte

Umfassende Beratung zu Strategie, Produktdatenmanagement, Logistik, Kundenerfahrung und Internationalisierung.

Hervorhebung der Bedeutung rechtlicher Rahmenbedingungen und geistigen Eigentums zur Aufrechterhaltung der Markenkonsistenz und des Schutzes online.

Kapitel 6 – Ausblick und was als Nächstes kommt

Bietet eine zukunftsorientierte Perspektive auf die Zukunft der Marktplätze und schlägt potenzielle Entwicklungen und Herausforderungen vor.

Wesentliche Punkte

Spekulationen über zukünftige Trends im digitalen Handel und auf Marktplätzen.

Ermutigung zur kontinuierlichen Anpassung und Innovation in den Marktplatzstrategien.


Quelle

https://gominga.com/de/marktplatzwelt-2022/

Datei zum Download


The Seventy 2 Digital

Grow Digitally

Reutlingen