Can AI tailor my resume to a job posting?

The made-up sample:

• [PASTE POSTING]Company XYZ – Marketing Analyst (Full‑time) Location: Remote (US) We are looking for a data‑driven Marketing Analyst to support our digital campaigns. Responsibilities include: - Analyzing campaign performance using Google Analytics, SQL, and Excel. - Creating weekly dashboards and presenting insights to stakeholders. - Conducting A/B tests and recommending optimization strategies. - Collaborating with content and paid media teams. - Managing marketing automation tools (HubSpot, Marketo). - Monitoring KPI trends (CTR, CAC, ROI) and preparing monthly reports. Required qualifications: - Bachelor’s degree in Marketing, Business, or related field. - 2+ years of experience in digital marketing analytics. - Proficiency in Google Analytics, SQL, Excel, and data visualization (Tableau or PowerBI). - Strong written and verbal communication skills. - Ability to translate data into actionable recommendations. Preferred: Experience with SEO tools (SEMrush) and basic knowledge of HTML/CSS.
• [PASTE RESUME. Remove your address and phone number.]Jane Doe jane.doe@email.com | linkedin.com/in/janedoe Professional Summary Results‑focused Marketing Analyst with 3 years of experience leveraging Google Analytics, SQL, and Excel to drive campaign performance and revenue growth. Proven ability to build dashboards, conduct A/B testing, and communicate insights to cross‑functional teams. Experience Marketing Analyst, BrightWave Solutions (Remote) — Jan 2022 – Present - Developed weekly performance dashboards in Tableau, reducing reporting time by 30%. - Ran 15+ A/B tests on email and landing page variants, increasing conversion rates by an average of 12%. - Produced monthly ROI reports for paid media, informing budget reallocations that saved $45K annually. - Collaborated with content creators to align SEO recommendations using SEMrush data. Digital Marketing Coordinator, NovaTech Corp. (Chicago, IL) — Jun 2020 – Dec 2021 - Managed HubSpot email campaigns reaching 50K+ subscribers; achieved 22% open‑rate. - Analyzed Google Analytics data to identify traffic drop‑offs, leading to a 9% lift in organic sessions. - Created Excel models for CAC and LTV calculations used by senior leadership. Education B.A. in Marketing, State University — 2020 Skills Google Analytics, SQL, Excel (advanced), Tableau, PowerBI, HubSpot, Marketo, SEMrush, A/B testing, Data storytelling, SEO fundamentals.

• ✓List top 8 skills/keywords with Yes/Partly/No
• ✓Rewrite bullets using only resume facts
• ✓Never add skills, tools, numbers or job titles not in resume
• ✓Provide questions to elicit additional real details
• ✓Didn't make up details we never gave it

What came back (excerpt):

Analyzed campaign performance using Google Analytics, SQL, and Excel, and presented insights to stakeholders through weekly performance dashboards developed in Tableau.

### 1. Top 8 Skills or Keywords and Their Presence in Your Resume

1. **Google Analytics**: Yes
2. **SQL**: Yes
3. **Excel**: Yes
4. **Data Visualization (Tableau or PowerBI)**: Yes
5. **Marketing Automation Tools (HubSpot, Marketo)**: Yes
6. **A/B Testing**: Yes
7. **SEO Tools (SEMrush)**: Yes
8. **HTML/CSS**: No

### 2. Rewritten Bullets to Match the Job Posting

**Marketing Analyst, BrightWave Solutions (Remote) — Jan 2022 – Present**
- Analyzed campaign performance using Google Analytics, SQL, and Excel, and presented insights to stakeholders through weekly performance dashboards developed in Tableau.
- Conducted A/B tests on email and landing page variants, resulting in an average conversion rate increase of 12%, and provided actionable recommendations based on test results.
- Collaborated with content creators to align SEO recommendations using SEMrush data, enhancing campaign effectiveness.
- Managed marketing automation tools, including HubSpot, to optimize campaign delivery and performance.
- Produced monthly ROI reports for paid media, informing budget reallocations that led to significant annual savings.

**Digital Marketing Coordinator, NovaTech Corp. (Chicago, IL) — Jun 2020 – Dec 2021**
- Utilized Google Analytics to analyze campaign performance, identifying areas for improvement and leading to a 9% lift in organic sessions.
- Created Excel models for CAC and LTV calculations, providing valuable insights used by senior leadership for strategic decision-making.
- Managed HubSpot email campaigns, achieving a 22% open rate among 50K+ subscribers, and applied data-driven insights to enhance campaign performance.

### 3. Questions for Adding Real Details

1. Can you specify the size of the teams you collaborated with in your previous roles to give a better understanding of your teamwork and communication skills?
2. How did you ensure that your data visualization efforts (using Tableau or PowerBI) were effective in communicating insights to non-technical stakeholders?
3. Were there any specific challenges you faced while conducting A/B tests, and how did you overcome them to achieve positive results?
4. Can you provide more details about your experience with SEO fundamentals and how you applied them to improve campaign performance?
5. How did you stay updated with the latest trends and tools in digital marketing analytics, and can you give an example of how you applied this knowledge in your previous roles?
6. Were there any instances where your analysis led to a significant change in marketing strategy, and if so, can you describe the process and outcome?

Check that bullet rewrites contain no invented data or tools.

The made-up sample (a messier one):

• [PASTE POSTING]Company: TechNova Solutions, a fast‑growing SaaS provider, seeks a Senior Product Analyst to drive data‑driven product decisions. Responsibilities: translate business requirements into analytical models, collaborate with engineering and design, produce dashboards, conduct A/B tests, present findings to leadership. Required skills: SQL, Python or R, data visualization (Tableau/PowerBI), strong communication, stakeholder management, Agile methodology, project management, experience with customer segmentation, ability to prioritize multiple initiatives. Preferred: 3+ years in product analytics, experience with cloud data warehouses, familiarity with OKRs. Location: Remote, full‑time, benefits include health, 401k, and professional development budget.
• [PASTE RESUME. Remove your address and phone number.]John Doe Professional Summary: Data‑focused analyst with 4 years experience turning raw data into actionable insights for product teams. Skilled in SQL, Python, Tableau, and cross‑functional communication. Experience: - Acme Corp, Product Analyst (Jan 2022 – Present) • Built SQL pipelines feeding daily dashboards used by 20+ product managers. • Ran A/B tests on feature rollouts, reporting lift of 12% on conversion. • Coordinated weekly syncs with engineering and design, clarifying data requirements. • Managed a small team of 5 analysts on ad‑hoc reporting projects. - Beta Solutions, Business Analyst (Jun 2020 – Dec 2021) • Created PowerBI reports for sales and customer success, reducing manual reporting time by ~30%. • Conducted customer segmentation analysis that informed pricing adjustments. • Documented data definitions and maintained data‑quality logs. Education: - B.S. in Business Analytics, State University (2016‑2020) • Relevant coursework: Data Mining, Statistical Modeling, Project Management. Tools: SQL, Python, Tableau, PowerBI, JIRA, Confluence.

• ✓List top 8 skills and indicate presence
• ✗Rewrite bullets using only resume facts
• ✗Never add skills, tools, numbers not in resume
• ✓Provide questions for missing details
• ✓Didn't make up details we never gave it

What came back (excerpt):

• Translated business requirements into analytical models by building SQL pipelines that feed daily dashboards used by 20+ product managers, driving data-driven product decisions. • Conducted A/B tests on feature rollouts, analyzing the impact and reporting a lift of 12% on conversion to inform product strategy.

### 1. Top 8 Skills or Keywords and Their Presence in Your Resume

1. **SQL** - Yes
2. **Python or R** - Yes (Python)
3. **Data Visualization (Tableau/PowerBI)** - Yes
4. **Strong Communication** - Partly (cross-functional communication)
5. **Stakeholder Management** - No
6. **Agile Methodology** - No
7. **Project Management** - Yes
8. **Customer Segmentation** - Yes

### 2. Rewritten Bullets to Match the Posting

- Acme Corp, Product Analyst (Jan 2022 – Present)
  • Translated business requirements into analytical models by building SQL pipelines that feed daily dashboards used by 20+ product managers, driving data-driven product decisions.
  • Conducted A/B tests on feature rollouts, analyzing the impact and reporting a lift of 12% on conversion to inform product strategy.
  • Collaborated with engineering and design teams through weekly syncs, ensuring clarity on data requirements and facilitating cross-functional communication.
  • Managed a small team of 5 analysts on ad-hoc reporting projects, applying project management skills to prioritize and deliver multiple initiatives.
- Beta Solutions, Business Analyst (Jun 2020 – Dec 2021)
  • Produced data visualizations using PowerBI, creating reports for sales and customer success teams that reduced manual reporting time by ~30%, enhancing operational efficiency.
  • Conducted customer segmentation analysis, providing insights that informed pricing adjustments and demonstrating ability to analyze customer data for strategic decisions.

### 3. Questions for Adding Real Details

1. Can you specify how you prioritized multiple initiatives while managing the team of analysts at Acme Corp?
2. How did you ensure strong communication with stakeholders, such as product managers or leadership, in your role at Acme Corp or Beta Solutions?
3. Were there any instances where you applied Agile methodology in your previous roles, even if it wasn't a primary methodology used by the company?
4. Can you describe a situation where you had to manage or interact with stakeholders (e.g., product managers, engineers, customer success teams) to understand their needs or present findings?
5. How did your customer segmentation analysis at Beta Solutions impact business decisions beyond pricing adjustments?
6. Did you work with any cloud data warehouses in your previous roles, and if so, can you describe the experience?
7. Were there any specific OKRs (Objectives and Key Results) you worked towards in your roles, and how did you contribute to achieving them?
8. Can you provide an example of presenting findings to leadership or a similar high-level audience, and how you tailored your communication for this audience?

Verify that bullet rewrites do not introduce new unstated skills.