TL;DR in plain English
- HYPD is an AI assistant for PPC marketers. It connects to Google and Meta ad accounts. See https://www.hypd.ai/.
- It gives instant campaign analysis. It can run account audits and create automated reports. It also suggests optimizations and writes ad copy. These features are listed on the product page: https://www.hypd.ai/.
- You can run a Deep Audit that compares two time periods. The site shows Deep Audits and account analysis templates: https://www.hypd.ai/.
- The UI references Claude Sonnet 4.5 and a 12k token context window on the site. See https://www.hypd.ai/ for that detail.
Quick action (30‑second view): connect a test account, run a Deep Audit, ask one follow‑up question in chat, then export the audit PDF/CSV from the UI at https://www.hypd.ai/.
Methodology: claims in this guide reference the HYPD product page snapshot at https://www.hypd.ai/.
What you will build and why it helps
You will build a lightweight workflow that uses HYPD to speed audits, investigations, and ad copy production. The workflow relies on features described on the product page: account audits, an always‑on analyst, ad copy generation, and client reports (https://www.hypd.ai/).
Core pieces you will combine:
- Connect Google Ads and (optionally) Meta Ads to let the assistant pull campaign data. (Feature noted at https://www.hypd.ai/.)
- Run a Deep Audit that compares two date ranges and surfaces prioritized recommendations. (Deep Audit is highlighted on https://www.hypd.ai/.)
- Use the chat assistant to investigate KPI shifts and get a concise, exportable summary and charts.
- Generate ad copy variations from the assistant for quick A/B tests.
Why this helps small teams:
- It reduces manual clicking and spreadsheet work by surfacing analysis inside one chat flow (https://www.hypd.ai/).
- It produces client‑ready reports and CSV exports so human reviewers can verify results before taking action (https://www.hypd.ai/).
- The UI indicates integration with a model labeled Claude Sonnet 4.5 and a 12k token context, which supports longer conversational context for analysis (https://www.hypd.ai/).
Before you start (time, cost, prerequisites)
- Account access: you need a Google Ads account and/or a Meta account to connect. The product page lists Google & Meta integrations: https://www.hypd.ai/.
- Pricing note: the site shows a "Get Started for Free" call‑to‑action. Confirm current plan limits and trial terms on https://www.hypd.ai/.
Minimal checklist before connecting:
- [ ] Verify you have read (or appropriate) access to the ad account.
- [ ] Collect a one‑page brief with client goals and primary KPIs.
- [ ] Decide where exported CSV/PDF files will be stored (S3, shared drive, etc.).
See the vendor page for onboarding steps and feature descriptions: https://www.hypd.ai/.
Step-by-step setup and implementation
Short preface: follow the site prompts to connect accounts, then run a Deep Audit. Treat the assistant's suggestions as drafts. Always export the raw CSV for verification.
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Sign up and connect accounts
- Visit https://www.hypd.ai/ and create an account.
- Follow the UI to link Google Ads and Meta (if used). The product page notes these integrations: https://www.hypd.ai/.
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Run a Deep Account Audit
- Choose the Deep Audit template in the UI. The Deep Audit compares two periods and returns impact‑ranked recommendations (see https://www.hypd.ai/).
- Export a PDF and the raw CSV from the audit for independent verification.
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Investigate via chat
- Ask targeted questions in the assistant. For example: "Compare conversions for DateRangeA vs DateRangeB and list top 5 ad groups by spend." Validate answers against the CSV.
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Generate ad copy variations
- Provide a short creative brief and request 3–5 headline/description pairs. Export the variations for ad platform uploads.
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Schedule reports
- Use the assistant to create recurring client summaries and export schedules.
Quick commands (examples):
# Open the homepage and check headers
open "https://www.hypd.ai/"
curl -I https://www.hypd.ai/
Example config snippet (illustrative):
reporting:
formats: [pdf, csv]
compare_periods: 2 # run audits comparing two date ranges
alerts:
enabled: false
Verify exported CSVs against your source ad platform reports before applying automated changes. See https://www.hypd.ai/ for the export features.
Common problems and quick fixes
Data mismatch — typical checks
- Check timezone and currency alignment between HYPD and the ad account. Re‑run the account sync and export raw CSVs to compare. The product page highlights Google & Meta integrations and CSV exports: https://www.hypd.ai/.
LLM output issues
- If the assistant gives incorrect or incomplete field descriptions, upload an account checklist or notes and re‑ask the question. Always cross‑check with the CSV export.
Missing conversions
- Confirm conversion tracking in the ad platform and verify the exported conversion rows in the audit CSV.
Quick troubleshooting checklist
- [ ] Sync completed within last 24 hours.
- [ ] Raw CSV exported.
- [ ] Top spend rows validated against source exports.
Refer to the HYPD feature list and reporting capabilities at https://www.hypd.ai/.
First use case for a small team
Scenario: a 2–4 person agency onboarding a new client. Use HYPD to speed the first audit and create an action list.
Compact workflow:
- Connect the client account via https://www.hypd.ai/ and run a Deep Audit.
- Export the PDF and CSV from the audit and store them in your project folder.
- Use the assistant to create a one‑page executive summary with prioritized actions.
- Generate a short set of ad copy variants for immediate A/B testing.
Team roles (example):
- Owner: maintains prompt templates and runs the assistant flows.
- Validator: checks exported CSVs vs native platform exports.
- Signoff: senior reviewer approves changes before they go live.
HYPD is presented on the product page as an assistant for agencies and freelance marketers; it lists client reporting, account audits, ad copy, and campaign analysis as targeted use cases (https://www.hypd.ai/).
Technical notes (optional)
Model and context
- The UI shows a model label: Claude Sonnet 4.5 (12k) in the product snapshot. That indicates a 12k token context window in the UI: https://www.hypd.ai/.
Feature vs output (quick table)
| Feature on site | Typical output | Source | |-----------------|----------------|--------| | Deep Account Audit | PDF + CSV + ranked recommendations | https://www.hypd.ai/ | | Ad copy generation | Headline & description variants | https://www.hypd.ai/ | | Analyst chat | Data visualizations and explanations | https://www.hypd.ai/ |
Quick check command
# verify site availability and timing
curl -sSf -o /dev/null -w "%{http_code} %{time_total}s" https://www.hypd.ai/
Privacy and access
- The product page shows integrations with ad accounts; confirm scope levels and vendor policies during your vendor review (https://www.hypd.ai/).
What to do next (production checklist)
Assumptions / Hypotheses
- Product features cited here (account audits, Google & Meta integrations, Claude Sonnet 4.5, client reports) are taken from https://www.hypd.ai/.
- Operational thresholds below are proposed hypotheses for pilots and must be validated in your environment:
- Initial setup estimate: 30–60 minutes.
- Verification time after setup: 1–2 hours.
- Number of ad variations to generate per test: 3–5.
- Pilot duration: 7–14 days.
- CPA alert multiplier example: 1.25× target.
- Required data parity with raw exports for automation: 95%.
- Pilot spend guardrail example: $500 USD.
- Model context noted in UI: 12k tokens.
- Vendor traction shown on site: 100+ agencies.
Risks / Mitigations
- Risk: data mismatch between the assistant export and the ad platform. Mitigation: require the data parity hypothesis (95%) before enabling automation. Save raw CSVs and compare top rows.
- Risk: LLM hallucination or incorrect recommendations. Mitigation: human signoff required before applying any automated changes; keep automation off during pilot.
- Risk: unintended spend from automation. Mitigation: enforce spend guardrails (example $500) and automatic pause triggers in your deployment layer.
Next steps
- Run two Deep Audits with different date ranges and export CSVs. Reconcile the top 10 spend and conversion rows with native platform exports.
- Build a 5‑prompt playbook: audit, investigate, generate copy, export report, reconcile CSVs. Store prompts and exported artifacts for repeatability.
- Start a single‑client pilot with canary flags. Log every agent prompt, exported artifact, and human decision for auditability.
Product reference and features: https://www.hypd.ai/.