Digital Performance Manager arsons placement

2.0 - 6.0 years

0 Lacs

noida, uttar pradesh

On-site

Experience: You should have at least 2+ years of experience in performance marketing, particularly in the fashion and apparel industry. Your expertise in executing successful paid campaigns on various platforms like Facebook Ads, Google Ads, and Instagram will be crucial for this role. Strong analytical skills using tools such as Google Analytics, Facebook Insights, and Shopify Analytics are required. Knowledge of fashion trends, consumer behavior, and seasonal shopping patterns is essential to drive effective marketing strategies. Hands-on experience with A/B testing, retargeting, and audience segmentation will be beneficial. You should have a deep understanding of eCommerce metrics and the ability to optimize for key performance indicators like CAC, CTR, and ROAS. Additionally, experience in influencer marketing and affiliate marketing would be advantageous. Responsibilities: As a Performance Marketing Specialist for D2C Brands in the apparel industry, your key responsibilities will include: 1. Developing and Executing Paid Media Campaigns: - Plan, create, and optimize paid digital marketing campaigns on platforms such as Facebook, Instagram, Google Ads, and other relevant channels. - Focus on driving high-quality traffic, conversions, and sales for fashion and apparel products. - Implement A/B testing for ad creatives, landing pages, and targeting to continuously enhance performance. 2. Audience Targeting and Segmentation: - Conduct detailed audience research to create buyer personas specific to the fashion and apparel industry. - Implement precise targeting strategies to reach high-intent fashion consumers based on demographics, interests, and behaviors. 3. Campaign Optimization: - Continuously monitor and adjust campaigns based on performance metrics like CTR, conversion rates, CAC, and ROAS. - Utilize data to refine strategies, ensure budget optimization, and drive conversions. 4. E-Commerce & Fashion Industry Trends: - Stay updated on the latest fashion trends, seasonal shopping behaviors, and industry shifts to create timely campaigns. - Collaborate with the design team to develop visually appealing ads aligned with fashion trends and brand identity. 5. Data Analytics and Reporting: - Analyze campaign data and performance metrics using tools like Google Analytics and Facebook Insights. - Provide detailed reports with actionable insights to optimize future campaigns and drive business decisions. 6. SEO and Retargeting: - Implement retargeting strategies to increase conversion rates. - Collaborate on SEO strategies to align paid efforts with organic growth. 7. Collaboration with Cross-Functional Teams: - Work closely with content, creative, and product teams to align marketing strategies with the brand vision. - Ensure messaging and campaigns resonate with the target audience in the fashion and apparel space. 8. Influencer & Affiliate Marketing: - Manage influencer marketing campaigns to enhance brand visibility and engagement. - Explore affiliate marketing opportunities to drive traffic and revenue growth. Why Join Us Join our dynamic and fast-paced environment with a passionate team dedicated to making an impact in the fashion industry. You will have the opportunity to work with leading fashion brands and grow your career in performance marketing. We offer competitive salary and performance-based incentives. Job Types: Full-time, Permanent Benefits: - Provident Fund Schedule: - Day shift - Morning shift - Yearly bonus Work Location: In person,

Posted 1 day ago

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Data Analyst (E-commerce) genxlead retail pvt ltd

3.0 - 7.0 years

0 Lacs

chennai, tamil nadu

On-site

As a Data Analyst in the E-commerce industry with a minimum of 3 years of experience, you will be responsible for analyzing complex datasets to identify trends, patterns, and opportunities for business growth within the e-commerce sector. Your role will involve developing, maintaining, and automating dashboards and reports to monitor key performance indicators (KPIs) like conversion rate, customer acquisition cost, customer lifetime value, average order value, and cart abandonment rate. You will conduct A/B testing and hypothesis testing to evaluate the effectiveness of marketing campaigns, website changes, and product launches. Extracting, transforming, and manipulating data from relational databases and data warehousing solutions will be a crucial part of your responsibilities. Using advanced data analysis techniques like predictive modeling, clustering, and regression analysis with tools like Python or PHP will support strategic decision-making. Collaboration with cross-functional teams such as marketing, product management, and operations will be essential to provide data-driven recommendations and insights. Analyzing customer behavior and segmentation to enhance personalization strategies and improve customer experience will be part of your daily tasks. Communicating key insights and trends through compelling data visualizations using platforms like Tableau, Power BI, or similar tools is also expected. To qualify for this role, you should have a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field, along with a minimum of 3 years of experience in data analysis within the e-commerce industry. Proficiency in SQL for data extraction and manipulation, as well as experience with data visualization tools and programming languages is required. In-depth knowledge of e-commerce metrics and KPIs, excellent analytical skills, and the ability to translate complex data insights into actionable recommendations are essential. Experience with data warehousing solutions and NoSQL databases would be a plus for this position. If you are looking to join a dynamic team and drive business growth through data analysis in the e-commerce sector, we encourage you to apply now.,

Posted 4 days ago

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