Our e‑commerce client’s organic traffic had plateaued at 15k monthly visits.

I was tasked with creating a 6‑month SEO roadmap to increase organic traffic by at least 30%.

Conducted a comprehensive site audit, identified high‑potential keyword clusters, optimized on‑page elements, and built a content calendar focused on long‑tail topics. Coordinated with dev to improve site speed and structured data.

Organic traffic grew to 22k per month (+46%) within five months, leading to a 12% lift in revenue.

The brand was launching a new product line and needed a unified launch across email, social, and paid search.

Create a cohesive campaign that drove product awareness and generated 5,000 qualified leads within 8 weeks.

Developed a central messaging framework, synchronized content calendars, and set up shared performance dashboards. Held weekly alignment meetings with channel leads to adjust tactics based on real‑time data.

The campaign delivered 5,800 qualified leads (16% over target) and a 22% increase in brand recall measured by post‑campaign surveys.

A Q2 lead‑gen campaign on Google Ads was delivering a high CPL and low conversion rate after two weeks.

Identify the root cause and turn the campaign around within one week.

Analyzed search term reports, audience demographics, and device performance. Discovered low‑intent keywords draining budget and a mismatch between ad copy and landing page. Paused non‑performing keywords, refined match types, rewrote ad copy, and A/B tested a new landing page variant.

CPL dropped by 38%, conversion rate rose from 2.1% to 4.5%, and the campaign met its lead target ahead of schedule.

Our quarterly budget review showed a 10% cut to the digital spend, risking upcoming campaign launches.

Present a data‑driven case to retain or grow the budget by at least 5%.

Compiled a ROI dashboard showing past campaign performance, projected revenue uplift from a planned retargeting initiative, and benchmarked industry spend trends. Delivered a concise presentation linking spend to revenue growth and risk mitigation.

Leadership approved a 7% budget increase, enabling the launch of the retargeting program, which later generated $250k in incremental revenue.

A SaaS startup needed 300 qualified leads in 30 days for a product beta.

Design and launch a Facebook lead‑gen campaign that met the target cost per lead (CPL).

Defined audience personas, created look‑alike audiences, designed a compelling lead‑magnet offer, built a mobile‑optimized lead form, and set up conversion tracking. Monitored frequency and ad fatigue, rotating creatives every 3 days and adjusting bids based on performance.

Generated 340 leads at a CPL of $12 (target was $15), staying within budget and exceeding the lead goal by 13%.

During a product launch, a user posted a viral complaint about a perceived defect, sparking negative comments.

Mitigate brand damage, address the issue, and keep the campaign on track.

Activated the social listening dashboard, responded publicly within 30 minutes acknowledging the concern, directed the user to private support, and coordinated with product to verify the issue. Released a clarifying post with factual information and offered a limited‑time discount to affected users. Monitored sentiment throughout the day.

Negative sentiment dropped by 68% within 24 hours, and the campaign’s conversion rate recovered to 95% of the projected target.

Our B2B client’s lead‑to‑MQL conversion was stuck at 18% after the initial webinar signup.

Design an automated nurture workflow to increase MQL conversion to at least 30% within 45 days.

Implemented a 7‑step email drip using HubSpot, segmenting leads by engagement score. Integrated behavior‑triggered emails (e.g., content download, webinar attendance) and dynamic content based on industry. Added lead scoring rules tied to website visits and email clicks. Conducted A/B tests on subject lines and CTA placement.

MQL conversion rose to 34% in 42 days, and overall pipeline contribution increased by $420k.

Our paid search campaigns were experiencing high CPCs on generic keywords, while organic rankings for long‑tail terms were strong.

Align SEO and SEM efforts to reduce CPC and improve ROI.

Conducted keyword gap analysis to identify high‑performing organic long‑tail keywords with low competition. Created dedicated ad groups targeting those terms, crafted ad copy mirroring top‑ranking meta titles, and set bid adjustments based on organic CTR data. Implemented negative keyword lists derived from SEO crawl errors.

CPC decreased by 22%, conversion rate improved by 15%, and overall paid search ROI increased by 28% over three months.

Our client ran simultaneous email, social, and paid search initiatives but lacked insight into which touchpoints drove conversions.

Develop an attribution model that accurately assigned credit across channels to inform budget allocation.

Implemented Google Analytics 4 with enhanced measurement, defined custom events for each channel, and configured a data‑driven attribution model. Integrated CRM data via API to tie offline conversions. Ran a 6‑week pilot, compared last‑click vs. data‑driven models, and presented findings to leadership.

The data‑driven model revealed that email contributed 35% of conversion credit (vs. 20% in last‑click), leading to a 15% budget shift toward email and a 12% lift in overall conversions.

Our monthly newsletter had an open rate of 18% and click‑through rate of 2.5%.

Increase open rate by at least 5% through subject line testing.

Created two subject line variants—one with personalization and one with a curiosity hook. Randomly split the audience 50/50, sent at the same time, and measured open rates using the email platform’s reporting.

The curiosity‑hook subject line achieved a 24% open rate (+6% absolute), while click‑through remained steady. The winning subject line was adopted for subsequent newsletters, raising average open rates to 22% over the next quarter.

The company launched a pillar‑content hub to support lead generation but needed to justify spend to executives.

Develop a comprehensive ROI framework covering multiple content formats.

Defined primary KPIs: organic traffic, time on page, lead conversions, and assisted revenue. Tracked each asset with UTM parameters and integrated data into a marketing dashboard (Google Data Studio). Assigned monetary value to leads using average deal size and calculated assisted revenue using multi‑touch attribution. Summarized total cost vs. attributed revenue over six months.

The hub generated 45,000 organic sessions, 1,200 qualified leads, and $1.2 M in assisted revenue, delivering an ROI of 4.5:1.

A seasonal promotion required early budget allocation, but past performance varied widely year over year.

Predict the upcoming campaign’s conversion volume and allocate spend efficiently.

Built a predictive model in Python using historical campaign data (budget, CPC, CTR, seasonality factors). Integrated external variables like search trend data from Google Trends. Ran simulations to forecast conversion volume under different budget scenarios. Presented the model’s confidence intervals to leadership and recommended a 12% higher budget for high‑potential keywords.

The campaign achieved 18% higher conversions than the previous year, and the predictive model’s forecast was within 4% of actual results, validating its accuracy.