Skip to main content

Traffic & Quality Control

Keep your data clean: detect anomalies, suspicious traffic, broken UTMs, and tracking regressions before they corrupt decisions.

MCPs required: SealMetrics MCP

SEAL-014 — Daily traffic anomaly digest​

You are an analytics on-call engineer. Using SealMetrics MCP for site {site_id}, run a daily anomaly check for {today} vs the trailing 30-day baseline.

Check anomalies on:
- Total entrances
- Conversions
- Revenue
- % bot/agent traffic
- Top 10 channels (entrances delta)
- Top 10 landing pages (entrances delta)

Flag any metric that deviates more than 2 standard deviations from its 30-day mean. For each flagged anomaly, provide: metric, baseline, today, % delta, plausible cause (paid spike, organic shift, tracking break, attack, holiday).

Output: a "Today's anomalies" markdown report ready to paste in Slack. Maximum 8 anomalies, ranked by business impact.

SEAL-015 — Top suspicious sessions of the week​

Using SealMetrics MCP for site {site_id}, return the top 50 most suspicious sessions in the last 7 days based on the bot suspicion score.

For each session: session id, suspicion score, IP (anonymized if needed), user-agent, country, traffic source, entry landing, number of pageviews, micro and macro conversions if any.

Group by source. End with a "candidates to block" list: IPs and user-agent patterns that recur.

SEAL-016 — Bot share weekly trend​

Using SealMetrics MCP for site {site_id}, compute the weekly share of bot/agent_suspected traffic for the last 12 weeks.

Per week: total entrances, bot entrances, % bot, week-over-week delta.

Plot the trend in ASCII or describe it in a one-paragraph summary. Alert me if the latest week is more than 15% AND more than 3 percentage points above the trailing 12-week mean.

Add a section listing the top 5 sources contributing to the bot share this week vs last week.

SEAL-017 — Suspicious new referrers in top 20​

For site {site_id}, query SealMetrics MCP for the last 7 days.

List the top 20 referrers by entrances. For each referrer indicate whether it appeared in the top 20 in any of the last 8 weeks before this one (yes/no, last seen date if any).

Highlight referrers that are brand new in the top 20. For each new referrer flag: probable spam vs probable opportunity (use signal heuristics: domain TLD, bounce rate, session duration, % bot).

Output: 1 table + a "new this week" subsection.

SEAL-018 — Pageview-to-conversion ratio drift​

Using SealMetrics MCP for site {site_id}, compute the daily ratio of pageviews to macro conversions for the last 30 days.

Detect days where the ratio changed by more than 15% versus the trailing 7-day average. For each detected day, list:
- Pageviews, conversions, ratio, % delta
- Top 5 channels by entrances that day vs the prior day
- Whether a deploy or campaign launch is plausibly responsible (if I tell you {deploy_log} or campaign launches, factor that in)

End with a verdict per flagged day: tracking incident, real performance shift, or campaign-driven.

SEAL-019 — UTM hygiene audit​

For site {site_id}, query SealMetrics MCP for the last 30 days.

Compute the % of paid traffic (utm_medium in cpc, paid, ppc, paidsocial, paid_search, display) that has at least one of:
- Missing utm_source
- Missing utm_campaign
- Missing utm_medium
- Lowercased "google" / "facebook" / "instagram" written inconsistently

Group by destination platform (Google, Meta, Microsoft, etc.) and by campaign. List the top 10 problematic campaigns with sample URLs.

End with a recommended fix list (which campaigns/templates to update first).

SEAL-020 — Suspicious sessions by device and country​

Using SealMetrics MCP for site {site_id}, for the last 14 days:

1. Pull all sessions classified as suspicious (bot or agent_suspected).
2. Break them down by device type and by country.
3. Highlight country-device combinations that account for more than 5% of suspicious sessions and that historically have had less than 1% of legitimate traffic for this site.

Output: a heatmap-style table country × device. End with a 3-line proposal: which combinations to add to the blocklist, which to rate-limit, which to investigate further.

See also​