Cloud Security: Addressing the Risks and Challenges

  • Sundew
    Sundew
  • sundew
    5 min.read
  • sundew
    December 10th, 2024
  • Technology
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Cloud security encompasses a comprehensive array of protective measures created to safeguard cloud-based infrastructure, applications, and data. 

Its primary objective is maintaining comprehensive control over data and resources. This comprises:

  - Preventing unauthorized access

  - Safeguarding data privacy

  - Fortifying defenses against external hackers and insider threats

  - Ensuring the resilience of cloud workloads against malicious disruptions

Why Do You Need Cloud Technology Security?

As organizations increasingly rely on cloud solutions, ensuring robust security measures is essential to protect sensitive data and maintain compliance.

  • Cloud Misconfigurations: Improperly set up systems can allow attackers unauthorized access to sensitive resources, often due to human error or inadequate automation templates.
  • Data Privacy & Confidentiality in the Cloud: Improperly secured cloud storage or poorly planned migrations can expose sensitive data, risking regulatory fines and reputational damage.
  • Social Engineering & Credential Theft in Cloud Environments: Attackers exploit widely used cloud apps to trick employees and steal credentials, jeopardizing data security.
  • Meeting Stringent Compliance Needs: Cloud environments pose challenges in meeting compliance standards due to limited visibility and distinct infrastructure compared to traditional data centers.

Top Cloud Data Security Challenges

Cloud Data Security Challenges

Challenges in Accessing Cloud Security Expertise

Specialized knowledge in cloud architecture and security is crucial. However, the demand for skilled professionals, especially in addressing security issues in cloud computing, surpasses the current availability. 

As a result, organizations increasingly depend on external advisory and managed services for the deployment, maintenance, and security of their cloud resources.

Transitioning from Legacy to Modern Security Solutions

Embracing new technologies like cloud services necessitates a shift in security approaches. 

Cloud infrastructure, characterized by a global and accessible network, challenges traditional security models centered around network firewalls and on-premises credentials. 

To effectively address cloud security concerns, businesses must evolve and embrace concepts like Zero Trust Architecture. 

This approach recognizes the ubiquity of cloud resources and the demand for remote access. Resultantly, it emphasizes security at the application level.

Incorporating Security in Open-Source Platforms

In cloud computing, DevOps and security teams favor open-source technology for its accessibility and customization benefits. 

However, while it speeds up development, it also presents challenges.

Without certification from cloud providers and official support, open-source code can expose businesses to vulnerabilities and integration issues. 

The lack of formal support increases the risk of misconfigurations, making a strong security strategy essential for organizations adopting open-source solutions. 

Elevating Identity and Access Management

IAM (Identity and Access Management) poses a crucial challenge in securing the cloud. 

With users accessing resources at the application or modular level, granular control becomes imperative. 

In environments without single sign-on (SSO), each user is verified for individual applications. This necessitates investments in technology and personnel for -

- precise control

- secure storage of identity credentials

- comprehensive activity tracking

This aids in enhanced logging and system visibility.

Ensuring Ongoing Compliance Amidst Cloud Evolution

Regulatory and industry data management standards, such as HIPAA and PCI DSS, were established in the pre-cloud era. 

Despite the shift to cloud storage and processing, compliance obligations endure. Organizations under these mandates need to maintain internal security governance. They also need to validate that their technology providers, including cloud services, align with regulatory data security requirements.

Strategizing Attack Surface Management in the Cloud

Whether employing SaaS or IaaS platforms like AWS, cloud systems introduce unique challenges to Attack Surface Management (ASM). 

Additional endpoints, applications, and third-party resources create potential attack vectors and visibility issues. 

For example, a department using an unreported CRM SaaS solution adds an unmonitored entry point. Proactive cataloging and monitoring strategies are essential to address these challenges.

Establishing an Effective Audit Trail

A real-time activity log is essential for incident response, helping security teams quickly identify and isolate cloud security breach sources. 

This is crucial for organizations with compliance requirements. 

Centralizing this information in the cloud is challenging due to dispersed resources. Additionally, cloud applications are often provisioned outside of IT management, leading to reduced visibility and auditing capabilities.

Top Cloud Data Security Risks and Threats

To better safeguard your organization's data, it's important to understand the top cloud data security risks. 

Cloud Data Security Risks

Zero-day attacks

The widespread use of open-source software and platforms like AWS, Azure, and Google Cloud increases the risk of vulnerabilities being exploited. Hackers target these weaknesses, prompting administrators to quickly implement updates and maintenance to prevent attacks.

Missteps in Cloud System Configurations

Cloud technology security vulnerabilities often arise from misconfigurations. These include granting excessive access privileges or using default, easily guessed credentials. The complexity of cloud infrastructure and integrations makes these errors common.

Securing Against Online Account Hacking

Cloud applications often rely on basic username-password authentication, making them vulnerable to phishing, weak passwords, and brute-force attacks. Strengthening credential management is essential to prevent unauthorized access.

Mitigating Insider Threats

Without robust Identity and Access Management (IAM) or Zero Trust measures, trusted users can become threats, risking data theft or malware attacks. Insider negligence, like sharing unencrypted files or exposing credentials, also poses significant risks that must be mitigated.

Navigating the Challenge of Malware in the Cloud

Cloud applications simplify resource sharing but increase malware risks, as file exchanges create opportunities for malicious code to infiltrate and spread across the network.

Addressing Data Loss in Cloud Services

Data loss in cloud environments can result from ransomware, where hackers encrypt or delete data, or migration errors during transitions. The ease of sharing files and apps also heightens the risk of sensitive data exposure through negligence or malicious actions.

Navigating Non-Compliance Risks in Cloud Data Security

Managing compliance in the cloud is challenging. Non-compliance can lead to legal consequences, fines, and reputational damage. Failing to vet providers or implement proper security configurations risks customer privacy and regulatory penalties.

How to Effectively Manage Cloud Technology Security Risks and Challenges 

Given that many security risks in cloud computing manifest at the application level, organizations need a comprehensive strategy to safeguard applications and resources. 

Implementing multi-factor authentication (MFA) is one such measure, adding an extra layer of protection against user-account-based hacks through biometrics or hardware verification.

Continuous visibility and access management play pivotal roles in cloud security. Integrating Cloud Infrastructure Entitlement Management (CIEM) technology enables automated threat detection, activity monitoring, and access management across multi-cloud and hybrid environments. 

It facilitates precise permission settings, enforces the principle of least privilege, and streamlines compliance audits, powering digital transformation through the cloud.

To mitigate negligence incidents, companies should prioritize awareness training covering phishing scams, credential management, and handling sensitive cloud data. 

Robust governance practices, including policies promoting strong passwords, regular cloud system backups, frequent access audits, and timely updates or patches for software applications, further contribute to a resilient cloud security posture.

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Data Storage Decoded: Data Warehouse vs Data Lake Explained

As organizations race to harness the power of data, choosing the right storage strategy has become a mission-critical decision. One of the most common debates in this space is data warehouse vs data lake: two fundamentally different approaches to storing and managing data. While both serve as repositories, they differ drastically in structure, purpose, and use.A data lake is a massive, unstructured pool that stores raw data of all types, often before its purpose is even defined. In contrast, a data warehouse is a structured, purpose-driven system built to store processed historical data for fast querying and business intelligence.The important part is making informed decisions tailored to your data strategy. To do so, let’s decode the differences, strengths, and best-fit scenarios of data warehouse vs data lake.Understanding Data WarehouseA data warehouse is a structured, curated, and business-ready data repository designed specifically for reporting, analytics, and decision-making.Some of its notable functions include:Storing cleaned, processed, and organized data.Using a schema-on-write model, data must conform to a predefined structure before being stored.Ideal for structured queries, KPI tracking, and historical trend analysis.Common Data Warehouse PlatformsSnowflakeAmazon RedshiftGoogle BigQueryUse Case ExampleA retail company uses a warehouse to track sales performance by product and region. Insights are fast and reliable. Warehouses prioritize speed and accuracy, which are ideal for reporting and forecasting. Their structure supports compliance, governance, and enterprise standards.Benefits of Data Warehouses1. Performance & AccuracyBuilt for speed and reliability in querying and reporting.Supports dashboards, executive KPIs, and ad-hoc analysis.2. Optimized for Business IntelligenceSeamless integration with BI tools like Tableau, Power BI, and Looker.Supports SQL-based querying, data visualization, and real-time analytics.3. Governance & Compliance-ReadyStructured environment supports data governance and regulatory compliance.Ideal for industries requiring audit trails and data lineage.4. Enterprise-Grade InfrastructureFeatures like partitioning, indexing, and performance tuning optimize large-scale analytics.Ensures data consistency, quality, and accessibility for enterprise teams.Industry RelevanceData warehouses are trusted by financial services, healthcare, government, insurance, and other regulated sectors for their:TraceabilityTransparencyAuditabilityThey serve as the single source of truth for strategic business operations.Data Lakes ExplainedA data lake is a flexible, scalable, and schema-on-read storage system that allows organizations to ingest and retain data in its raw form, structured, semi-structured, or unstructured, without needing to format it at the time of ingestion.Accepts all data types: logs, videos, sensor data, JSON, etc.No upfront data modeling needed (schema-on-read).Enables direct exploration by analysts, engineers, and data scientists.Popular Data Lake PlatformsAmazon S3Azure Data Lake Storage (ADLS)Hadoop Distributed File System (HDFS)Use Case ExampleA media company stores videos, user logs, and transcripts for later machine learning use. Lakes store everything, making them ideal for innovation. They’re also cost-effective, making use of cheap storage to scale quickly. But they require governance to avoid becoming data swamps.Benefits of Data Lakes1. Cost-Efficient ScalabilityUses low-cost object storage to handle petabytes of data.Scales quickly without the need for complex transformation processes.2. Ideal for Innovation and ExperimentationSupports fast, flexible ingestion for IoT, social media, clickstream, and more.No rigid ETL pipelines. Teams can move from raw data to insight rapidly.3. Advanced Analytics & AI-ReadyIntegrates with tools like Apache Spark, Hive, TensorFlow, and more.Enables real-time data analytics, machine learning, and predictive modeling.4. Extensible & AgileIngests new data sources instantly without re-architecting.Empowers departments (marketing, R&D, customer success) with fast access to data.5. Collaborative Analytics EcosystemPrep and transform data with data engineering.Data scientists model and experiment.Analysts visualize and deliver insights, all from a shared environment.Key Differences Between Data Warehouses and Data LakesThe table below simplifies the data warehouse vs data lake comparison. Each model serves a different strategic goal. Business leaders must evaluate based on outcome priorities, not buzzwords.Using a Data Lake vs Data WarehouseChoosing the right data storage type between a data lake and a data warehouse hinges on your business objectivesA data warehouse would be the ideal choice if an enterprise needs structured, reliable data for tasks like financial reporting, KPI tracking, or regulatory compliance.Contrarily, a data lake is more suitable for unstructured or semi-structured data like clickstream logs, IoT feeds, or for running machine learning models and advanced analytics.Key Decision FactorsWhen evaluating your architecture, consider the following:Data maturity and your current analytics ecosystemCompliance and governance needsTypes of users (business analysts, data scientists, engineers)Scalability requirementsTechnology and infrastructure investmentsAdditionally, look into the following:Data Governance ImplicationsData warehouses come with built-in governance, lineage, and access control features.Data lakes require active investment in tools for Metadata management, Role-based access, Data cataloging, and tracking.Cost OptimizationWarehouses are compute-intensive and more expensive due to their processing requirements.Lakes offer cost-effective storage at scale but may trade off performance if not well-managed.Why Most Organizations Need Both?In modern data architectures, it’s rarely an either/or scenario. Many enterprises adopt a hybrid strategy where:Data warehouses support business intelligence and operational reporting.Data lakes power innovation, experimentation, and long-term data storage.This model balances agility, performance, and cost-efficiency, delivering the best of both systems.Emerging Trends: The Rise of the LakehouseThe gap between lakes and warehouses is being bridged by lakehouses. They combine structure with flexibility. Lakehouses enable advanced analytics on raw data without moving it. Platforms like Databricks and Snowflake now support this hybrid model.Lakehouses reduce duplication and streamline pipelines. One system, multiple outcomes. They also enable real-time analytics and cost optimization. This evolution supports the growing demand for unified data architectures.By unifying transactional and analytical workloads, lakehouses eliminate silos. You can build data products faster. Data engineers spend less time moving data and more time delivering value.Real-time decision-making is a key advantage. Lakehouses enable predictive modeling on streaming data. This is crucial for dynamic industries like e-commerce, logistics, and fintech.Security is built-in. You get encryption, compliance, and versioning out of the box. These capabilities make lakehouses enterprise-ready.The lakehouse is becoming a strategic standard. Enterprises want agility and governance in one place. Expect more companies to shift to this model in the next 2 - 3 years.Final ThoughtsThe difference between a data warehouse and a data lake is strategic. Warehouses offer precision and governance. Lakes bring flexibility and scale. Together, they form a powerful ecosystem.Businesses should evaluate current needs and future goals. You should refrain from falling into the trap of choosing either one. Use both to maximize the full data value. Stay ahead by building modern, hybrid data architectures. Embrace lakehouses if you want the best of both worlds.Choose architecture that fits your vision, not just your data. Leverage tools that match your outcomes. Invest in governance and scalability early. The future of enterprise intelligence is unified, flexible, and real-time. Your architecture should reflect that.

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Sales-Driven Ecommerce Content Strategy: How to Boost Conversions and Revenue

Ecommerce is about selling products, but having an ecommerce content strategy is about building connections, building trust, and guiding customers through their buying journey. In a crowded digital marketplace, simply showcasing products won’t cut it. To stand out, brands need to engage, educate, and inspire their audience at every touchpoint.Compelling content acts as the bridge between your brand and your customers, transforming your business from a mere retailer into a trusted authority.A well-crafted content strategy for ecommerce doesn’t just grab attention; it turns casual browsers into repeat customers.So, if your content isn’t moving people to action, it’s time to rethink your strategy.Here’s why fine-tuning your ecommerce content marketing strategy is crucial.Understanding the Importance of eCommerce Content StrategyIf you are wondering, “What is an ecommerce content strategy?” and why it is important, know that quality content fuels every step of the buyer’s journey.From attracting new visitors to turning them into loyal customers, without a solid content strategy, your brand risks getting lost in a sea of competitors. Here’s how:Boosts SEO & Increases VisibilityIf your content isn’t optimized for search engines, potential customers won’t find you. A strategic mix of blogs, product guides, and SEO-driven pages helps your store rank higher on Google and social media searches. Stronger organic search presenceIncreased brand discovery on social mediaMore qualified leads landing on your siteBuilds Brand Awareness & DifferentiationThe e-commerce space is crowded, and content helps you stand out. A well-crafted strategy positions your brand as an authority. Whether through social media campaigns, blog content, or email marketing, the right messaging ensures your brand remains memorable and trustworthy.Ways to build awareness include:Unique storytelling that sets your brand apartEngaging content on multiple platforms (blogs, social media, videos)Promotions that attract and retain customersNurtures the Buyer's JourneyNot every visitor is ready to buy immediately. A well-structured content funnel guides them from awareness to conversion by addressing their needs at every stage:Top-Funnel: Blog posts, social media content, and storytelling introduce your brand.Mid-Funnel: Customer testimonials, FAQs, and behind-the-scenes content build trust.Bottom-Funnel: Product comparisons, reviews, and case studies help finalize the purchase decision.By offering value at every stage, you turn passive browsers into active buyers.Educates and Builds TrustPeople don’t buy from brands they don’t trust. By creating valuable, informative content, you position yourself as an industry expert while answering customer questions before they even ask. Whether through detailed product comparisons, how-to guides, or customer testimonials, the right content reduces doubt and builds confidence in your brand.Strengthens Customer Loyalty & RetentionAcquiring a new customer is great, but keeping them engaged is even better. Strategies like personalized emails, loyalty programs, and educational content create ongoing interactions, fostering a community around your brand.An excellent ecommerce content strategy example comprises brands with engaging loyalty programs. They encourage users to interact beyond just making purchases, resulting in increased customer retention.Powers Conversions & Revenue GrowthBy creating targeted, persuasive content that meets user intent, you can optimize every touchpoint in the sales funnel to increase conversion rates and boost revenue.Steps to Build the Best Ecommerce Content Strategy If you’re not sure where to begin, here is a step-by-step blueprint to create a compelling content strategy for e-commerce.Step 1: Define Your Content Goals & AudienceBefore diving into content creation, it’s essential to clarify your goals. Ask yourself key questions like: Are you looking to increase brand awareness, boost conversions, or build long-term customer loyalty? Understanding your primary objectives will help shape a focused and intentional strategy that directly addresses your business needs.Also, identify your target audience's demographics, interests, and behaviors to create highly relevant and engaging material.Step 2: Choose High-Performing Content FormatsNot all content types deliver the same results, so it's crucial to choose formats that best capture your audience’s attention and drive engagement.Start by identifying content types that align with your goals. You can do so by knowing which one to focus on from the following categories. Awareness Content: Create buyer guides and how-to content. Include infographics, carousels, lookbooks, etc. Such interactive and educational content helps customers make informed decisions, increasing trust and the likelihood of conversion.Sales-Centric Content: Focus on driving conversions with product-focused content. Utilize video content like tutorials and demos to highlight how your product solves customer pain points.  Share success stories and provide helpful resources like tutorials and FAQs. Also, encouraging customers to share their experiences and leverage user-generated content (UGC) to make your brand feel more relatable and trustworthy.Thought Leadership Content: Establish credibility by sharing industry insights, predictions, and expert opinions. Partner with influencers to reach new audiences and build credibility. This can amplify your message and extend your reach by introducing your brand to their established, loyal followers.Step 3: Optimize for Search & DiscoverabilitySearch engine optimization (SEO) is the backbone of any successful ecommerce content strategy. It helps search engines understand your content, improving your rankings and visibility.To start:Conduct thorough keyword research to find high-intent search queries. Then, build content around those to make sure it meets the specific needs of people actively searching for solutions.Optimize product descriptions, meta tags, and URLs with target keywords. This forms the basis of any successful ecommerce content marketing. Build internal links to help visitors discover more of your content and drive them toward conversion points like product pages or checkout.Optimize alt-text for images to ensure that they are indexed by search engines and help increase overall visibility.Regularly monitor your SEO metrics to see how your efforts are performing and adjust content or strategies for better results.Step 4: Use the Power of Video & Live ShoppingVideo content is one of the most engaging ways to connect with your audience. With platforms like TikTok and Instagram evolving into search engines, prioritizing video content is no longer optional. Ecommerce businesses must make it a key part of their marketing strategy to stay ahead of the competition.Here’s how video content can benefit your business:Immersive experience: Whether it’s tutorials, product demos, or customer success stories, video helps convey key information quickly and effectively.Real-time engagement and sales: Live shopping allows real-time interaction with customers, building excitement and urgency over exclusive deals that can lead to impulse purchases.Humanizing brands: Sharing behind-the-scenes footage or stories gives your brand a more personal, relatable feel, fostering trust and loyalty among your audience.Step 5: Personalize with AIModern ecommerce is all about delivering the right content to the right customer at the right time. AI-driven personalization ensures that your audience sees content tailored to their interests, behaviors, and past interactions, boosting engagement and conversions.Here’s how AI transforms content personalization:AI-powered Product Recommendations: Suggest products based on browsing history, past purchases, and user preferences.Dynamic Content Personalization: Adapt website banners, email campaigns, and product pages in real time for different customer segments.Automated Chatbots & Virtual Assistants: Provide personalized shopping assistance and answer queries instantly.Predictive Analytics: Analyze customer behavior to anticipate future preferences and refine marketing strategies.By leveraging AI and machine learning, ecommerce brands can create a more engaging, intuitive, and conversion-focused shopping experience. Personalized content doesn’t just improve user satisfaction—it also builds long-term customer loyalty and drives higher revenue.Step 6: Build Authority with Influencers & ExpertsInfluencer marketing provides a unique opportunity to amplify your message and tap into new audiences. Influencers can review products, offer demonstrations, or simply share their personal experiences with your brand. This type of content is often more engaging and relatable than traditional advertisements. Building a network of influencers and industry experts helps establish your brand’s credibility and reach wider, untapped markets. To make the most of influencer partnerships, be sure to track performance metrics such as engagement rates, referral traffic, and conversions so you can continually optimize your strategy.Step 7: Prioritize Content Distribution & PromotionCreating stellar content is only half the battle. Getting it in front of the right audience is where the magic happens. An effective content distribution strategy involves leveraging a mix of the following practices: SEO-optimized organic traffic, email marketing for engagement, and paid ads for immediate resultsContent promotion on the right platforms where your audience is most active.Partnerships and referral programs to extend reach and attract new customers through trusted sources.Step 8: Measure & Optimize for Continuous ImprovementTo ensure your content strategy is delivering the results you need, it’s essential to keep an eye on the following:Monitor KPIs such as traffic, bounce rates, and conversions to gauge content effectiveness.Focus on conversion rates to track how content leads to desired actions (purchases, sign-ups).Analyze customer retention data (repeat purchases, customer lifetime value) for long-term insights.Regularly review content performance to make data-driven improvements.Step 9: Experiment, Adapt & InnovateThe market and customer preferences are constantly evolving, and so should your content strategy.It’s important to continuously test new ecommerce content ideas, formats, and distribution methods to keep your audience engaged and stay ahead of the competition.Customer feedback also plays a crucial role in shaping your content strategy. Encourage your audience to provide input through surveys, reviews, and social media comments. Take their feedback into account and use it to refine your approach, ensuring your content remains relevant and resonates with your audience. Common Mistakes to Avoid in Ecommerce Content StrategyWhile we are at it, let’s also have a look at some common mistakes that must be avoided.Creating Generic, Unoriginal ContentBland, recycled content won’t capture attention or build brand credibility.Offer unique insights instead of repeating industry clichés.Use storytelling and high-quality visuals for better engagement.Not Optimizing for Mobile & Voice SearchWith mobile and voice search on the rise, ignoring them limits reach.Ensure mobile-friendly design and fast loading times.Use conversational keywords and FAQs for voice search optimization.Overlooking Analytics & Data-Driven DecisionsWithout tracking performance, you can’t refine your strategy.Monitor traffic, engagement, and conversion rates.Use analytics tools to optimize content based on real insights.Avoiding these mistakes keeps your ecommerce content strategy effective, engaging, and competitive.Turn Your Content into a Growth EngineIn eCommerce, content is the foundation of customer trust, engagement, and long-term success. A well-executed ecommerce content strategy attracts, informs, and converts, turning casual visitors into loyal customers.From SEO-driven blog posts to high-impact social media campaigns, every piece of content should have a clear purpose: to connect with your audience and reinforce your brand’s value.It all starts with a well-rounded marketing approach. Don’t know how to begin? Explore how Sundew’s Marketing and Strategy services integrate content marketing to drive engagement and improve conversions.Let’s turn your content into a powerful engine for growth!

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5 Major Business Goals You Can Achieve with a Website Re-design

In today’s time having a website is mandatory to make your presence felt in the marketplace. A website not only helps you to represent your brand online but it allows you to communicate with your potential customers and meet their needs. Thus, if you aim for your website to deliver significant results in terms of generating huge traffic and ROI then it needs to be built strategically keeping in mind your service offerings.Redesigning a website is often a daunting task it means you have to rebuild creating new databases, dealing with code, servers and modifying every nook of the back-end side. Redesigning involves making functional modifications that help your website work better and assist you in reaching your marketing goals. If a website design does not reflect your proficiency, success on the internet will remain as a dream.Here’s what you can achieve with a Website Re-design:• Increasing your brand reputation and awarenessA website can make or break brand image. Believe it or not, people judge companies based on their websites. If a website looks unpleasant or is hard to use, visitors would abandon and are going to have a low opinion of the company. In fact, 38% of people will stop engaging with a website if the content or layout is unattractive. After all, why would you trust someone who can’t even get a website right?When designing a website, you should not only consider the end user but also you need to think about the way that search engines work. If you fail to make your website SEO-friendly then youwould find yourself loosing on a major chunk of web traffic. However, by writing clean code, having a great layout and internal linking structure, you could improve your brand awareness by ranking higher on search engines. The higher your page ranks, the more likely it is to be found by a potential customer.• Higher Lead conversionWhile you don’t need to do a full site redesign each time you adjust your marketing goals, it’s a good idea to check often to be sure your site is fully aligned with your newest marketing plans. This measures the ability of a website to capture information of a visitor and convert them into a prospect. For achieving such goals, it is crucial to know your website’s current conversion rate. This way, you can determine a realistic percentage increase.•Become an industry leaderAnother way to work towards higher rankings is to create well-researched, informative andinteresting resources, that attracts backlinks which in turn helps to establish authority of your site and position your company as an industry thought leader.• Gaining a better understanding of your audienceMeasuring online customer satisfaction is a tricky business but if your website’s objective is toimprove customer satisfaction through user experience, then you should consider qualitativeresearch in the form of surveying your customers before and after a redesign.• Improve Sales Conversion RateSimilar to marketing, this goal measures the ability of a website to sell or convert a website visitor into a customer. It is typically measured as a percentage of website visitors who become paying customers. This goal is suited best for e-commerce/SaaS websites that want to focus specifically on maximizing a website’s ability to sell. This goal can also help measure changes in the quality of traffic. Just as with marketing KPIs, it is absolutely crucial to know your website’s current conversion rates before setting this goal.A great website redesign should be leveraged to help you achieve your business goals and put you at the forefront of your competition. So, before you opt for redesigning your website, gather details of the current web traffic, bounce rate, conversion and time on page to see visible results. If you’d like to redesign your website, get in touch with our experts at [email protected] or call us at +91-98367-81929.

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