Freelance Online Advertising Specialist Workflow Map

In this article, we’ve created a starter Freelance Online Advertising Specialist Workflow Map that you can use to start planning out your product/service delivery and we’ve outlined a few examples of experiments that you can run in your Freelance Online Advertising Specialist role.

Ready to get started? Download the Workflow Map template or get in touch to discuss how a workflow coach could help you fast-track your business improvement.

Systems & Processes for Freelance Online Advertising Specialist

The path towards better systems and processes in your Freelance Online Advertising Specialist role starts with mapping out your most important business processes. Being able to see your business processes laid out visually helps you to collaborate with your team on how to improve and grow. By repeating this collaboration process, you’ll develop a culture of continuous improvement that leads to a growing business and streamlined systems and processes that increase customer & staff experience.

To help you start mapping out your processes, we’ve developed a sample flow for a Freelance Online Advertising Specialist Workflow Map that you can use with your team to start clarifying your processes and then run Business Experiments so you can build a better business.

Workflow Map For A Freelance Online Advertising Specialist

1. Initial consultation: Meet with the client to understand their advertising goals, target audience, and budget.
2. Research and analysis: Conduct market research and competitor analysis to identify opportunities and develop a strategic advertising plan.
3. Campaign planning: Create a comprehensive advertising campaign strategy, including selecting the appropriate platforms, ad formats, and messaging.
4. Ad creation: Design and develop compelling ad creatives that align with the client’s brand and campaign objectives.
5. Campaign setup: Set up advertising accounts, configure targeting options, and implement tracking mechanisms to measure campaign performance.
6. Campaign launch: Activate the advertising campaign across selected platforms and monitor initial performance metrics.
7. Performance monitoring: Continuously monitor campaign performance, analyze key metrics, and make data-driven optimizations to improve results.
8. Reporting and analysis: Generate regular reports to provide clients with insights into campaign performance, including key metrics, trends, and recommendations.
9. Client communication: Maintain regular communication with clients to provide updates, address concerns, and discuss potential adjustments to the advertising strategy.
10. Continuous improvement: Collaborate with clients to identify areas for improvement, implement A/B testing, and refine the advertising strategy to maximize ROI

Business Growth & Improvement Experiments

Experiment 1: A/B Testing Ad Copy
Description: Create two versions of ad copy for a specific campaign and test them against each other to determine which one performs better. This experiment aims to optimize the messaging and language used in ads to increase click-through rates and conversions.
Expected Outcome: By identifying the more effective ad copy, this experiment can lead to improved campaign performance, higher engagement, and increased conversion rates.

Experiment 2: Target Audience Segmentation
Description: Divide the target audience into different segments based on demographics, interests, or behavior patterns. Tailor ad campaigns specifically for each segment to deliver more personalized and relevant content.
Expected Outcome: By targeting specific segments with tailored messaging, this experiment can result in higher engagement rates, increased conversion rates, and improved return on ad spend.

Experiment 3: Landing Page Optimization
Description: Analyze and optimize the landing page used in ad campaigns to ensure it aligns with the ad copy and provides a seamless user experience. Test different layouts, headlines, call-to-action buttons, and forms to determine the most effective combination.
Expected Outcome: This experiment aims to improve the landing page’s conversion rate, reduce bounce rates, and increase overall user engagement, resulting in higher lead generation and improved campaign performance.

Experiment 4: Ad Placement Testing
Description: Test different ad placements across various platforms and websites to identify the most effective placements for reaching the target audience. Experiment with different ad formats, such as display ads, video ads, or sponsored content, to determine which ones yield the best results.
Expected Outcome: By identifying the most effective ad placements, this experiment can optimize ad spend, increase visibility, and improve overall campaign performance.

Experiment 5: Conversion Funnel Analysis
Description: Analyze the conversion funnel to identify potential bottlenecks or areas for improvement. Track user behavior from ad click to conversion and identify any drop-off points. Experiment with different strategies to optimize each stage of the funnel.
Expected Outcome: This experiment aims to increase the conversion rate by identifying and addressing any obstacles or inefficiencies in the conversion funnel, resulting in improved overall campaign performance and increased revenue.

Experiment 6: Retargeting Campaigns
Description: Implement retargeting campaigns to reach users who have previously interacted with the website or shown interest in the product or service. Experiment with different retargeting strategies, such as dynamic product ads or personalized offers, to increase conversions and customer retention.
Expected Outcome: By targeting users who have already shown interest, this experiment can increase conversion rates, improve brand recall, and enhance customer loyalty.

Experiment 7: Performance Tracking and Analytics
Description: Implement advanced tracking and analytics tools to monitor and measure the performance of ad campaigns. Experiment with different metrics and reporting methods to gain deeper insights into campaign effectiveness and identify areas for improvement.
Expected Outcome: By leveraging data-driven insights, this experiment can optimize ad spend, improve targeting, and enhance overall campaign performance, leading to increased ROI and business growth

What Next?

The above map and experiments are just a basic outline that you can use to get started on your path towards business improvement. If you’d like custom experiments with the highest ROI, would like to work on multiple workflows in your business (for clients/customers, HR/staff and others) or need someone to help you implement business improvement strategies & software, get in touch to find out whether working with a workflow coach could help fast-track your progress.