At a Glance
- Tasks: Boost TikTok Shop visibility through paid ads and manage brand budgets.
- Company: Join a dynamic start-up focused on innovative advertising solutions.
- Benefits: Enjoy flexible working options and a vibrant team culture.
- Why this job: Perfect for data lovers wanting to make an impact in a fast-paced environment.
- Qualifications: Experience with TikTok Shop ads; analytical background preferred.
- Other info: Hands-on role ideal for those eager to learn and grow.
The predicted salary is between 28800 - 43200 £ per year.
Role overview: As Paid Advertising specialist, you use paid advertising spend to boost the visibility of TikTok Shop content (across Lives, Affiliate Videos and Organic videos). You develop frameworks to identify which content to boost and manage budgets from multiple brands to deliver results. You create sophisticated targeting strategies to maximise return on ad spend. You also own all reporting on Paid Advertising, reviewing spend and efficiency and communicating the results to the wider team. This is a highly analytical role, well suited to someone comfortable with data analysis and with strong organisational skills.
Core responsibilities:
- Develop frameworks for identifying which content should receive Ad support. You will build a set of measurable, quantitative frameworks for deciding whether a specific piece of content should receive Ad support. You will also develop a mechanism for reviewing those frameworks and adjusting the thresholds over time. You will also build and manage a process for reviewing total content performance in order to identify potential Ad content.
- Manage brand budgets and deliver ad spend in line with pre-agreed targets. You will work across all Go Places brands and each will have different budgets and sales targets. You will need to build a way to monitor spend vs. budget on a regular basis and flag potential funding issues.
- Create unique targeting and scheduling strategies to maximise return on ad spend. You will create A/B testing plans to measure the impact of multiple ad campaign variables. You will also need to develop a mechanism for storing, sharing and referring to those learnings to improve performance.
Who you are:
- Naturally analytical. You enjoy analysing large data sets, identifying insights and using them to drive actions.
- Highly organised and structured. You are a planner. You are able to design and organise multiple ad campaigns for multiple brands.
- Clear communicator. You not only excel at interpreting data, you can use it to tell a story and explain it to non-technical colleagues.
- Willing to get your hands dirty. This is not a purely theoretical role. As with any early stage start-up, you will need to balance theory with hands-on execution.
Essential qualifications: Experience with TikTok Shop Paid Advertising.
Preferred qualifications: An analytical background with either a STEM degree or 1-2 years experience working in a highly analytical environment. Experience working at an early-stage start-up.
Paid Advertising Specialist employer: Go Places
Contact Detail:
Go Places Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Paid Advertising Specialist
✨Tip Number 1
Familiarise yourself with TikTok's advertising platform and its unique features. Understanding how to leverage TikTok's tools for targeting and analytics will give you a significant edge in your application.
✨Tip Number 2
Showcase your analytical skills by preparing examples of how you've used data to drive decisions in previous roles. Be ready to discuss specific metrics and outcomes that demonstrate your ability to maximise return on ad spend.
✨Tip Number 3
Network with professionals in the digital marketing space, especially those who have experience with TikTok advertising. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your organisational strategies for managing multiple campaigns. Highlight any tools or methods you've used to keep track of budgets and performance across different brands.
We think you need these skills to ace Paid Advertising Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with paid advertising, especially on platforms like TikTok Shop. Use specific examples of campaigns you've managed and the results achieved to demonstrate your analytical skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it drives your decision-making in advertising. Mention your organisational skills and provide examples of how you've successfully managed multiple campaigns or budgets in the past.
Showcase Analytical Skills: Since this role is highly analytical, include any relevant projects or experiences where you analysed data sets to derive insights. Discuss tools or methodologies you used to create frameworks or strategies that improved ad performance.
Prepare for Potential Questions: Anticipate questions related to your experience with TikTok Shop and your approach to managing ad budgets. Be ready to discuss specific targeting strategies you've implemented and how you measure success in your campaigns.
How to prepare for a job interview at Go Places
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data analysis. Bring examples of how you've used data to drive decisions in previous roles, especially in paid advertising. This will demonstrate your comfort with numbers and your ability to derive insights.
✨Understand TikTok Advertising
Familiarise yourself with TikTok's advertising platform and its unique features. Be ready to discuss specific strategies you've implemented or would consider for boosting content visibility on TikTok Shop.
✨Demonstrate Organisational Skills
Be prepared to explain how you manage multiple campaigns and budgets simultaneously. Share your methods for tracking performance and ensuring that all campaigns align with brand goals.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You may be asked to present findings or strategies, so being able to tell a compelling story with your data is crucial for this role.