Amazon PPC and SEO (Advertising Sales) Specialist

I am a results-driven Amazon SEO and PPC Specialist with 3 years of hands-on experience optimizing and managing high-performing accounts in the competitive domains of gadgets, kitchen utensils, and home improvements. My passion for data-driven strategies and a proven track record of driving sales and visibility make me a valuable asset in the e-commerce landscape.

My services encompass a holistic approach to Amazon success. I begin by meticulously crafting and managing highly effective Amazon PPC campaigns, ensuring clients receive maximum ROI through strategic bidding, keyword optimization, and ad creative refinement. Simultaneously, I enhance clients' organic presence by optimizing product listings, employing advanced SEO techniques, and staying attuned to Amazon's algorithmic changes. This two-pronged strategy delivers heightened visibility, increased sales, and long-term growth for their businesses, all while staying within their advertising budgets and maintaining a strong brand presence in the competitive Amazon marketplace.

As an Amazon PPC specialist with over two years of experience, I frequently utilize Microsoft Excel to analyze PPC metrics effectively. I create detailed pivot tables in Excel to segment data such as click-through rates, conversion rates, and cost per click, which helps in identifying performance trends and making informed adjustments to campaigns. Additionally, I use Excel's advanced formulas and conditional formatting to track budget spend and forecast future ad performance, ensuring optimal allocation of resources across various campaigns.

In data analytics for Amazon PPC, I start by aggregating raw campaign data, focusing on key metrics like click-through rates, cost per click, and overall conversion rates. I apply statistical analysis techniques to identify patterns and correlations within the data, helping to optimize bidding strategies and keyword placements. Finally, I use regression analysis to predict future campaign performance based on historical data, enabling proactive adjustments to maximize ROI and reduce wasted ad spend.

Using Data Dive for Amazon PPC analytics, I first import and consolidate campaign data to examine metrics like impressions, clicks, and conversion rates. I utilize Data Dive's visualization tools to create dynamic charts and graphs, which help me quickly identify trends and outliers in campaign performance. Additionally, I rely on Data Dive's advanced filtering capabilities to drill down into specific data segments, such as SKU-level performance or time-of-day analysis, enabling more precise adjustments to my PPC strategies.

In Power BI, I integrate Amazon PPC data to create comprehensive dashboards that visualize campaign metrics like cost per acquisition, return on ad spend, and total sales. I use Power BI's data modeling features to merge PPC data with other business metrics, providing a holistic view of how advertising impacts overall business performance. Additionally, I set up automated alerts in Power BI to monitor key performance thresholds, ensuring that I can react swiftly to changes in campaign effectiveness and optimize ad spend efficiently.

In Helium 10, I leverage the ADS tool to analyze and optimize Amazon PPC metrics comprehensively. I set up custom rules and filters within ADS to monitor key performance indicators like ACoS, impressions, and sales, allowing me to adjust bids and optimize keywords effectively. Additionally, I utilize Helium 10's historical data features to track trends and make predictive analyses, helping me strategize and forecast future campaign performance more accurately.