Sudipto G.’s Post

What is the role of customer data in digital marketing? The role of customer data in digital marketing is critical as it allows businesses to gain a deeper understanding of their customers and create more targeted and personalized marketing campaigns. Some ways customer data can be used in digital marketing include: 1. Segmentation: Customer data can be used to segment audiences into different groups based on demographics, behavior, interests, and other characteristics. This allows businesses to create more targeted marketing campaigns for each segment. 2. Personalization: Customer data can be used to personalize marketing messages and content to make them more relevant and engaging for each individual customer. 3. Retargeting: Customer data can be used to retarget customers who have previously interacted with a business's website or app. This allows businesses to reach customers who are more likely to convert. 4. Audience targeting: Customer data can be used to create custom audiences for social media and other digital advertising platforms. 5. Customer insights: Customer data can be analyzed to gain insights into customer behavior, preferences, and pain points, which can inform product development and marketing strategy. 6. Predictive modeling: Customer data can be used to make predictions about customer behavior and preferences, which can inform targeting and personalization strategy. 7. Lifetime value: Customer data can be used to estimate the lifetime value of a customer and make decisions about acquisition costs and marketing budget. 8. Cross-selling and upselling: Customer data can be used to identify opportunities for cross-selling and upselling by understanding customer purchasing history and behavior. Overall, customer data is a powerful tool for digital marketers to understand their audience and create effective campaigns. #data #digitalmarketing #insights #CalculatedConversions

Essential Digital Marketing Trends Businesses Should Follow in 2024 To stay ahead in 2024, businesses must focus on AI and machine learning to enhance customer segmentation and automate campaigns. Video content continues to be a significant driver of engagement, with platforms like Instagram Reels and YouTube Shorts gaining popularity. SEO remains foundational, with the added importance of optimizing for voice search. Personalized marketing through AI-powered tools and a robust data-driven strategy will also help businesses scale while ensuring more effective targeting. Additionally, incorporating augmented reality (AR) in customer experiences is becoming a trend for innovative brands. #contentmarketing #videomarketing #voicesearch #ecommerce #customerexperience #automation #AI #digitaltrends #contentcreation #influencermarketing #analytics #datadrivenmarketing #digitalmarketing2024 #videocontent #personalization #augmentedreality #contentmarketing #affinity #weight #timedecay #seo #seoexpert #seomarketing #seoservice #seoagency #seocompany #offlineseo #onlineseo #localseo #localseoservices #localseomarketing #facebookmarketing #facebookadvertising #facebookads #facebookadvertising #facebookadsmanager #facebookfreemarketing #sem #smm #socialmediaadvertising #data #dataentry #dataentryservices #dataentryexpert #graphicddesign #google #googleadwords #googleadsense #googleadvertising #googleadswords #googleads #googleadsword #googleadsexpert #googleadscampaign #googleadscampaign #googlemarketing #googleadsexpert #googleadsmanagement #googleadsagency #googleadsmanager

How does 149.8% increase in click-through rate, 4.6% increase in conversion rate and a 6% increase in average order value (AOV) sound? That's what PUMA was able to achieve using #GCP #BQML for advanced audience segmentation. Have a look at PUMA's sharing below 👇

Target, Convert, Grow: The Power of Customer Categorization Customer data holds the key to marketing success. Harness it to deeply understand your audience, discover untapped markets, and supercharge your digital campaigns. https://lnkd.in/dbSR9QHy

Are you Transforming Marketing with Superior Data Utilization? If not, why not? The power of superior data use cannot be overstated for marketing heads. It revolutionises how marketing strategies are conceived, executed, and evaluated. However, this means that they can no longer rely on creativity alone. They need to become tech and data-savvy. Do you agree? Here are some ideas to think about: Segmentation and Targeting Gone are the days of one-size-fits-all marketing campaigns. With customer-centric data, SMEs can segment their audience into distinct groups based on demographics, behaviours, and preferences. This allows for highly targeted marketing efforts that resonate with specific customer segments, resulting in higher engagement and conversion rates. Personalisation at Scale Personalisation is no longer a luxury; customers expect it in the products and services they buy. By leveraging customer data, SMEs can deliver personalised content, product recommendations, and offers at scale. This level of personalisation fosters stronger customer relationships and drives brand loyalty. A study by Accenture revealed that 91% of consumers are more likely to shop with brands that provide relevant offers and recommendations. Measuring ROI with Precision Marketing budgets are often tight for SMEs, making it crucial to measure the return on investment (ROI) accurately. Customer-centric data provides precise insights into the effectiveness of marketing campaigns, enabling marketers to allocate resources to the most impactful strategies and channels. According to HubSpot, businesses that track ROI are 1.6 times more likely to receive higher budgets. Find out more on C3Centricity's latest blog post. Link in comments. #DataAnalysis #Segmentation #Targeting #ROI #CX #Personalisation

How can you use your Customer Data to optimize your Ad Campaign? In frame- Sujeet Govindani Edited by- @another_rahul_here More videos- Govindani Institute In the realm of digital marketing, data is king, and harnessing the power of customer data can significantly enhance the effectiveness and efficiency of ad campaigns. By leveraging insights gleaned from customer behavior, preferences, and interactions, marketers can tailor their ad campaigns to resonate more effectively with their target audience, driving higher engagement, conversions, and ROI. Whether it's segmenting audiences based on demographic data, tracking user journey touchpoints, or analyzing past campaign performance, harnessing customer data enables marketers to make data-driven decisions and optimize ad campaigns for maximum impact. Our course, 'All About Digital Marketing,' delves into the intricacies of utilizing customer data to optimize ad campaigns, providing learners with practical strategies and tools to unlock the full potential of their marketing efforts. From understanding customer segmentation and persona development to implementing advanced targeting techniques and analyzing campaign metrics, this comprehensive course equips marketers with the skills and knowledge needed to harness the power of customer data effectively. . . . #customerdata #digitalmarketing #digitalimpact #customer #data #dataanalytics #marketingdigital #marketing #marketingstrategy #learnmarketing . . . (Customer Data, Ad Campaign Optimization, Digital Marketing Insights, Data-Driven Marketing, Audience Segmentation, Marketing Analytics, Targeted Advertising, Customer Insights, Digital Marketing Course)

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 & 𝐖𝐡𝐲 𝐢𝐬 𝐢𝐭 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭? In today's digital age, where customer expectations are at an all-time high, businesses can no longer rely on guesswork for their marketing strategies. Unveiling the Magic: What is Data-Driven Marketing? Data-driven marketing (DDM) is a strategic approach that utilizes customer data. Target the right audience: DDM helps identify your ideal customer profile. Deliver personalized experiences: Imagine sending birthday greetings or product recommendations based on past purchases. The Power of Insight: Benefits of Data-Driven Marketing Incorporating DDM into your marketing strategy unlocks a treasure trove of advantages for your business: Increased Sales and Conversions: By targeting the right audience with the right message at the right time. Enhanced Customer Lifetime Value: Personalized experiences cultivate customer loyalty, leading to repeat business and increased customer lifetime value. Improved Marketing ROI: Data-driven campaigns allow for efficient budget allocation. Competitive Advantage: By leveraging customer insights. Frequently Asked Questions 1. What is the difference between data-driven marketing and traditional marketing? Traditional marketing relies on intuition and experience. 2. What data is essential for data-driven marketing? Customer demographics, website behavior, and purchase history. 3. What are some examples of data-driven marketing? Personalized email marketing, targeted social media advertising, and dynamic website content based on user behavior. 4. What are the challenges of data-driven marketing? Data security, integrating and analyzing large datasets. Conclusion: Embracing the Data-Driven Future In a world overflowing with marketing noise, data-driven marketing equips your business with the precision and personalization needed to truly connect with your audience. #datadrivenmarketing #marketingstrategy #businessgrowth #customerengagement #marketinganalytics #customerinsights #marketingautomation #competitiveadvantage #marketingcampaigns #customerexperience #digitalmarketing #futureofmarketing

After helping 30 eCom brands spend $1-2M on ads, I’ve boiled strategy down to these 3 needle movers: 1. 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗟𝗶𝗳𝗲𝘁𝗶𝗺𝗲 𝗩𝗮𝗹𝘂𝗲 (𝗟𝗧𝗩) Customers spend more over time → you can spend more on ads while keeping the same ROAS. -> You can scale your ad budget more easily. Why LTV matters? 🤔 Helps build relationships with existing customers Which means: → Customers buy more → Spend more to get new customers without hurting your ROAS How to track LTV: - Shopify analytics - Attribution and reporting tools - Your CRM Strategies to increase LTV: - Loyalty programs - Personalized emails + email flows - Subscriptions 2. 𝗥𝗲𝗳𝗶𝗻𝗲 𝗬𝗼𝘂𝗿 𝗔𝘂𝗱𝗶𝗲𝗻𝗰𝗲 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: For < 6 fig brands: Basic audience segmentation with broad categories like “New” & “Returning Customers” + basic demographics: age and location. Bigger brands: More advanced segmentation: behavior, purchase history, interests,.. - Better targeting ads → lower CAC → raise ROAS - Personalized approach → easier purchase 3. 𝗨𝘀𝗲 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 𝘁𝗼 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗲𝗳𝗳𝗼𝗿𝘁 𝗳𝗿𝗼𝗺 𝗲𝗮𝗰𝗵 𝘁𝗼𝘂𝗰𝗵𝗽𝗼𝗶𝗻𝘁𝘀 CJ shows every step a customer takes before making a purchase: which ads they saw, which emails they opened, which touchpoints led them to buy... —> Better budget allocating + scale correctly What to do with CJ data: - Analyze which touchpoints are driving the most conversions. - If certain ads or channels consistently lead to purchases, move more budget to those. - If others aren’t pulling their weight, scale back or test different strategies. By focusing on LTV, using CJ data to allocate your budget, and refining audience segmentation, you can double your ad spend while keeping your ROAS strong and steady.

💡Data-driven marketing leverages data analysis and technology to guide marketing decisions and strategies. Here are some key advantages: 📶 Personalization: By analyzing customer data, marketers can create highly personalized content, offers, and experiences that resonate with individual customers, leading to higher engagement and conversion rates. 🔰 Improved Targeting: Data-driven marketing allows for precise audience segmentation. Marketers can target specific demographics, behaviors, and preferences, ensuring that marketing efforts reach the right people at the right time. ✅ Better ROI: Data-driven strategies help optimize marketing budgets by focusing resources on the most effective channels, messages, and audiences. This leads to a higher return on investment (ROI) compared to traditional marketing approaches. ✳ Real-Time Decision Making: With access to real-time data, marketers can quickly adjust campaigns based on current performance, market trends, or customer behavior. This agility helps in maximizing the effectiveness of marketing efforts. ✅ Enhanced Customer Insights: Data analysis provides deep insights into customer behavior, preferences, and needs. This knowledge helps in crafting more effective marketing strategies and improving customer satisfaction. 💱 Predictive Analytics: By analyzing historical data, marketers can predict future trends, customer behaviors, and potential outcomes of marketing campaigns. This foresight enables proactive decision-making and strategy adjustments. 💹 Measurable Results: Data-driven marketing allows for the accurate tracking and measurement of campaign performance. Marketers can easily assess the impact of their efforts and make data-backed decisions to enhance future campaigns. 💰Optimization of Marketing Channels: Data helps identify the most effective marketing channels, enabling marketers to allocate resources efficiently and maximize the impact of their campaigns. ✅Competitive Advantage: Companies that effectively use data-driven marketing are often better positioned to anticipate market trends, meet customer needs, and outperform competitors. Visit My Website; https://samiasultana.com/ #ppcads #googleads #marketingtips #FacebookAds #DigitalMarketing #smallbusinesshelp