Showcase measurable results with anonymized case studies and a modular, data‑driven portfolio that can be shared publicly without violating NDAs.
Step‑by‑step build
1. Audit & extract metrics – Pull raw data from your analytics stack (GA4, Meta Ads, HubSpot). Record CAC, ROAS, LTV, churn rate, and conversion lift. Replace any client‑specific IDs with generic tags (e.g., client_01).
2. Host on a static site – Deploy a Next.js site on Vercel or a Webflow project. Use schema.org/CreativeWork markup so recruiters can parse each case study.
3. Create reproducible demos – Spin up a sandbox Google Ads account. Include a script like:
from google.ads.googleads.client import GoogleAdsClient
client = GoogleAdsClient.load_from_storage('google-ads.yaml')
# placeholder ID, never real client ID
customer_id = 'INSERT_ID'
# Example bid‑adjustment script achieving +23% ROAS4. Embed interactive dashboards – Build a Looker Studio report fed by a sample CSV. Add a calculated field:
REGEXP_REPLACE(ClientName, '.*', 'Anonymous')5. Document methodology – Add a concise formula table:
| KPI | Formula |
|---|---|
| ROAS | Revenue / AdSpend |
| CAC | TotalAcquisitionCost / NewCustomers |
6. Export a one‑pager – Use Pandoc to convert a markdown template to PDF and embed a QR code linking to the live demo.
Public vs. NDA‑Safe portfolio
| Feature | Public portfolio | NDA‑safe version |
|---|---|---|
| Data granularity | Full KPI breakdown | Aggregated percentages |
| Client identifiers | None (anonymized) | Redacted placeholders |
| Sharing method | Public URL | Private link with password |
Gotcha: UTM parameters often contain client‑specific campaign IDs; if you publish them unchanged, a competitor can reverse‑engineer the account. Always replace them with generic placeholders before pushing the case study.