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Chisom
Hi. I'm Chisom.
I've worked in ads for 4 years and counting, so naturally, I built my portfolio like a page that we all love to hate โ€” ads! Only this time, the "ads" aren't real but hold nuggets about me. They link to my tools, recommendations, certifications, and even published research (you'd never guess where!). Click things. Explore. And don't worry, I won't be offering any cookies here. ๐Ÿช
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Lauren McPherson
GM Client Services โ€” Retail
The Trade Desk
"I wouldn't hesitate to have Chisom on TTD's Trading team again."
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Senior Performance Strategist ยท Programmatic

I drive client performance.
Then I build the systems so the whole team can.

$3M+ in managed spend across 16 active clients in the last year. 4 DSPs (TTD, StackAdapt, Xandr Invest, Basis), 5 SSPs (Curate, OpenX, media.net, Index Exchange, Magnite), advertisers across 15 industries. Built nine operational systems now used across the team.

See the work
Chisom Egwuatu
Hi, I'm Chisom.
Advertisers I've worked with
Hulu ยท Disney+ ยท Toyota ยท Skechers ยท e.l.f. Beauty ยท Xcel Energy ยท UnitedHealthcare ยท Zillow ยท Hamilton Beach ยท LivOn Labs ยท Luna Grill ยท Forbright Bank ยท Cymbiotika ยท Instant Pot ยท Univision ยท Yamaha ยท Northern Tool ยท HI-CHEW ยท Brightside Dental ยท Torrid ยท Walmart Connect ยท Yelp ยท Northwestern Mutual ยท Western University ยท Fine Wine & Good Spirits
Client results
Click any card to see how it happened.
Account rescue ยท QSR

A QSR client was ready to move its audio budget. I pitched the strategy that kept them.

The client wrapped a display and OLV flight and wanted to reach audiences "on the go" with audio. They planned to place that budget with a partner that already had channel experience. I pitched an omnichannel strategy applying our existing learnings to drive performance from the start.
$504K
est. sales (at $45 avg check)
10x
ROAS
90%
audio CPP improvement
11.2K
conversions
Click for details
Execution: Audio CPP started at $70.71. I brought it down through inventory blocking, geo reallocation from Dallas to SD/LA, device targeting, daypart expansion (10am-4pm to 6am-4am), adding 504 PMP audio placements, and blocking 70+ underperforming sites. By Week 4, audio CPP was $5.89, beating the $15 benchmark by 20%. 97% completion rate. Display finished at $2.53 CPP, 16% better than benchmark. Client renewed and is still running.
Cross-platform diagnosis ยท Healthcare

Spend kept dropping on a PMP deal. I traced it to a reporting discrepancy across three platforms.

I inherited a dental PMP deal that had been live for two months. Spend was falling day over day in a head-to-head partner test. Because this was a deal ID, not managed service, I had no optimization levers. I treated it as an investigation.
3
platforms investigated
$50K
incremental budget
โœ“
root cause found
โœ“
client renewed
Click for details
Findings: DCM showed our CTR at 0.6%, the strongest of all partners. Basis showed 0.03%, causing its algorithm to shift spend away daily. I documented the discrepancy, brought it to the client and Basis team, and triggered a broader investigation. The client moved us into a separate test on another platform. $50K incremental that month. Still running today.
Channel expansion ยท Health & Supplements

I recommended a lower-funnel programmatic strategy that drove 107% more add-to-carts in thirty days.

A supplements brand was running programmatic for upper-funnel goals only and treating conversions as a social-only play. I proposed giving programmatic a direct role in driving action through DCO, remarketing, and native.
107%
add-to-cart increase
50%
attributed sales lift
1 mo
time to results
Click for details
Approach: I set up DCO with dynamic remarketing tied to product pages browsed. Added native alongside the existing display and video mix, plus copy testing across creatives. Within one month, add-to-cart actions rose 107% and attributed sales increased 50%. Client renewed.
Shipping under constraints ยท Financial Services

Client requested raw daily data. The DSP couldn't deliver it. I built the workaround overnight.

A banking client requested raw performance data delivered daily right after launch. Basis could only schedule reports to users with platform logins, and the client did not have access. Waiting two weeks for a product fix would have slowed down an active client need.
24hr
build time
Daily
automated delivery
โœ“
zero manual pulls
Click for details
Solution: I scheduled Basis's internal reports to arrive in Gmail each morning, auto-saved them to a specific Google Drive folder, and wrote a Google Apps Script that monitored the folder. When a new file dropped, the script auto-appended the data, reformatted columns into the client's template, and staged it for delivery. Fully automated report pipeline while waiting for Basis to ship the real fix two weeks later.
Operations Case Study

I joined a scaling startup and built ad ops infrastructure

What was missing
  • No pacing templates
  • No QA checklist
  • No reporting templates
  • No platform documentation
  • No supply chain data
  • No BLS troubleshooting guide
What I built
  • Pacing tracker with automated flagging
  • Multi-tab QA checklist (setup, creatives, pixels, day-after)
  • Standardized reporting templates for every client
  • 50+ pages each of platform documentation for TTD, StackAdapt, OpenX, media.net
  • Supply chain optimization sheet by channel, domain, vendor
  • BLS troubleshooting doc with all past tickets and root causes
9
Systems built
16
Clients served
2
Traders onboarded
This work sat outside my formal scope, but the gaps were affecting how the team operated. I built the systems, documented them, and used them to onboard two new traders who now run their own books independently.
Sponsored ยท CivicScience
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What colleagues say ยท 2025 Peer Review
"Chisom is often the smartest person on the call."
"A great asset to the trading team and a life saver on the advertising side."
"Some of the decks she puts together are visibly much better than our stock template."
Read full peer review
How I work

I care most about performance. That's where I start โ€” understanding what's helping results, what's getting in the way, and what we should do next.

From there, I usually go a level deeper. Sometimes the answer is in the campaign. Sometimes it's in delivery, measurement, platform behavior, or workflow. A lot of my value comes from being able to work across those layers without losing sight of the client outcome.

That's also why a lot of my work has ended up becoming more than one-off fixes. Once I understand a problem, I tend to turn it into something more repeatable โ€” a process, a training resource, a tool โ€” so the team gets stronger too.

Sponsored ยท Chisom Egwuatu
How many operational tools do you think I've built from scratch?
A 2-3
B 5-6
C 9 (and counting)
It's 9. Campaign report generator, QA checklist, audience profile slides, Snowflake SQL report, automated reporting pipeline, 50+ pages of platform docs, BLS troubleshooting doc, pacing tracker, and supply chain sheet. All still in use. See them all โ†“
9 systems built. Still in use.
None assigned. Each built because I saw a recurring problem and decided to fix it permanently.
Campaign Report Generator
Live demo โ†—
Every client report was built manually from DSP exports. Different platforms, different column names, different formats. This takes the raw file and outputs a branded PowerPoint deck automatically.
JS ยท pptxgenjs ยท Works across TTD, StackAdapt, Basis
Pre-Launch QA Checklist
Live demo โ†—
Campaigns were launching with errors because there was no standard check before go-live. Covers setup, creatives, tracking/pixels, and day-after verification.
V1: Excel ยท V2: Web app
Reporting
Automated Reporting Pipeline
Client needed daily data but had no platform access. Built a Gmail + Drive + Apps Script pipeline that delivered it automatically.
Client Reporting Templates
Reports were built from scratch every time. Standardized the format so every client gets the same quality in less time.
Snowflake SQL Report
Client needed a report the DSP couldn't generate. Got Snowflake access, wrote the SQL, turned it into a weekly workflow.
Operations
Pacing & Campaign Tracker
No central view of how campaigns were pacing against goals. Built the first one with automated flagging for at-risk campaigns.
BLS Troubleshooting Doc
Same brand lift study issues kept getting diagnosed from scratch. Compiled every past ticket and root cause into one playbook.
Supply Chain Optimization Sheet
No visibility into which SSPs, domains, or vendors were actually performing. Built the data view that enabled SPO decisions.
Knowledge
Platform Documentation
New traders had no reference material. Wrote 50+ pages each for TTD, StackAdapt, OpenX, and media.net. Now part of onboarding.
Audience Profile Slides
No standard way to present audience data to clients. Built persona slides from crosstab analysis. Now used across all decks.
DSPs The Trade Desk, StackAdapt, Xandr Invest, Basis Technologies
SSPs Xandr Curate, OpenX, media.net, Index Exchange, Magnite
Ad Ops CM360, GTM, AT tags, DoubleVerify, Cuebiq, DCO, VAST/VPAID
Analytics Excel, Tableau, DOMO, SQL, Snowflake, Python
Paid Social LinkedIn Ads, Meta Ads, X Ads, Instagram Ads
Modeling Experian (lookalike/logistic regression), LiveRamp, Brand Lift Studies
The path here
CivicScience
Oct 2023 โ€” Present
Programmatic Trader
CivicScience ยท Remote
Manage programmatic performance across a broad client book while maintaining strong margins. Built nine operational systems now used across the team and trained two traders into running their own books.
The Trade Desk
Jun 2021 โ€” Jul 2022
Programmatic Trading Analyst
The Trade Desk ยท San Francisco
Platform-side operations for enterprise accounts including Walmart Connect and Yelp ($10M+ budgets). Strategic advisor on media, audiences, and budget allocation. QBRs for senior stakeholders.
UCSF
Jan 2019 โ€” Jun 2021
Data Analyst
UCSF Medical Center ยท San Francisco
Started as a Patient Coordinator, then moved into analytics after identifying a reporting gap and building three dashboards. The insights helped support two additional hires.
Minerva University Hult International
2015 โ€” 2023
Education
Minerva University (B.Sc.) ยท Hult International (M.Sc.)
Cognitive Science and Business Analytics. Summa Cum Laude. Studied across six global cities through Minerva and later completed an M.Sc. at Hult.
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LinkedIn recommendation
Recommendation from Dr. Shrivastava
"One of the most inquisitive students in 10 years of teaching."
Dr. Priyanka Shrivastava, PhD
Assoc. Dean, Hult International Business School
Read full recommendation
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Let's talk.

I've spent the last five years working across campaign performance, platform operations, and supply-path troubleshooting. If that kind of mix is useful to your team, I'd love to talk.

Schedule a call Email me LinkedIn
San Francisco, CA628-228-1964chisom.freda@gmail.com
LinkedIn Recommendation
Lauren McPherson recommendation
Chisom was an amazing addition to the Trading team at TTD SF. Her deep analytical skills, proactive outreach, and dedication to campaign success were crucial in her clients growing their programmatic spend. Chisom's client facing skills are excellent, she possesses a high EQ and was able to build trust and solid relationships over a short period of time. I wouldn't hesitate to have Chisom as a member of TTD's Trading team again, and thoroughly recommend her for any client facing, analytics, or media optimization roles.
View on LinkedIn
LinkedIn Recommendation
Professor Shrivastava recommendation
Chisom was my student in the Marketing Analytics course at Hult International Business School. I have been teaching this course for the past 10 years and Chisom is easily one of the most inquisitive students that come to my mind in an instant. The course was very high load, and she did really well in the course. More importantly, her presence in the class room used to give me that extra enthusiasm to discuss the interesting strategic pertaining to data analytics in class. Such was her penchant for learning new insights and ideas! She is a team leader, who will always give her best while working in groups, make her point rationally, pull team together and get results. Her attention to details and commitment to work is what sets her apart from other cohort members and would go long way with her. I have absolutely no hesitation in recommending Chisom for any type of management profession because she has those analytical and problem solving skills in her that would make her excel in his job whichever organization she works with. I wish her best in professional life!
View on LinkedIn
CivicScience YE 2025 Peer Review
Peer review 1
Q: What should this peer start doing?
"I think she does an exceptional job as is and there is not really anything that she is not currently doing that would make her more effective. She is a great asset to the trading team and a life saver when it comes to having experience here on the advertising side of the company."
Q: What should this peer increase or enhance?
"This is something that Chisom already does a great job of. When there is a new learning about how a campaign is performing or trouble she is having with a campaign she reaches out to make sure we are aware so that we can follow and brainstorm to make better decision for our campaigns moving forward. Keep doing that amazing work and I would say dont be afraid to do it even more."
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Chisom
Why hire me
I run campaigns, but I don't just run them. When something breaks, I trace it across platforms until I find the root cause. When I see a gap in how the team operates, I build the fix and document it so the next person doesn't start from zero. I've done this nine times and counting. None of it was assigned.
I want to be somewhere that values that instinct โ€” where performance, problem-solving, and building better systems all live in the same role.
Schedule a call Email me