Connect Facebook Pages to Claude

Multi-Client Facebook Pages Health Radar

Using the Catchr MCP, analyze Facebook Pages for [List of Client Accounts] over [Reporting Period] against [Comparison Period]. For each account, review Page video views click to play, Post Engagement Rate, and Page post impression and break the results down by Category and Website. Focus on content formats and themes that earn meaningful engagement. Rank accounts as Healthy, Watch, or Critical using [Client Targets or Historical Baseline], and show the evidence behind each status. Return a client-ready table with the account, main change, supporting fields, business implication, recommended next action, and one sentence for the next client meeting. Separate observed changes from possible explanations, respect the reporting grain, and do not claim causation when Facebook Pages only shows correlation.

Client-Ready Facebook Pages Performance Brief

Using the Catchr MCP, review Facebook Pages for [Client Account] during [Reporting Period] versus [Comparison Period]. Review Page post impression, Post clicks, and Fan count and break the results down by Page address and Verification Status. Explain what improved, what declined, and which changes are material for content, audience, reach, engagement, and profile performance. Produce an executive summary, three evidence-backed wins, three risks, and a prioritized action plan with owner and review date. Include a compact evidence table that ties every conclusion to the returned fields. State any unavailable field, incompatible reporting level, or small-sample limitation before recommending action, and write the final recap in language an agency account manager can use with the client.

Facebook Pages Opportunity and Risk Map

Using the Catchr MCP, compare Facebook Pages across [List of Client Accounts] for [Period] using [Materiality Threshold] and [Client-Specific Targets]. For every account, review Fan count, Page Total Action, and Page post impression nonviral and break the results down by Day of the month and Video Content category. Investigate audience growth, reach quality, and profile actions and posting patterns, distribution gaps, and repeatable content opportunities. Build an opportunity-and-risk map ranked by business relevance, confidence, and urgency. For each finding, show the account, observed change, supporting fields, plausible explanations, first validation step, and recommended client action. Keep each client separate before creating a portfolio summary, and avoid applying one account's baseline, currency, attribution rule, or reporting definition to another.

Morning Facebook Pages Priority Queue

Using the Catchr MCP, pull Facebook Pages for [List of Client Accounts] over [Recent Period] and compare it with [Baseline Period]. For each client, review Page post impression nonviral, Page post impression nonviral unique, and Page post impression viral and break the results down by Post comment date and Post comment author. Flag changes beyond [Alert Threshold], separate high-value issues from low-volume noise, and rank the work I should handle today. Return a queue with the client, issue, exact evidence, likely impact stated cautiously, first validation step, recommended action, and a short update I can send to the client. Do not merge accounts until each result has been checked against its own target, currency, timezone, and reporting grain.

Monthly Facebook Pages Client Report

Using the Catchr MCP, create a monthly Facebook Pages report for [Client Account] covering [Current Period] versus [Previous Period]. Review Page post impression viral, Page post impression viral unique, and Page post impression unique and break the results down by Post comment text and Country Page Likes. Explain the most important movement in content, audience, reach, engagement, and profile performance, including what stayed stable and what needs attention. Write a plain-English report with an executive summary, a concise evidence table, three wins, three concerns, and three actions for [Next Period]. Attach an owner and success measure to each action. State the latest available date and any missing fields or intervals so the client can distinguish measured facts from assumptions or incomplete coverage.

Facebook Pages Optimization Backlog

Using the Catchr MCP, analyze Facebook Pages for [Client Account] over [Lookback Period]. Review Page post impression unique, (Deprecated) Post clicks unique, and (Deprecated) Page post impression organic and break the results down by Video Is crosspost video and Video Is crossposting eligible. Identify the largest opportunities related to content formats and themes that earn meaningful engagement and posting patterns, distribution gaps, and repeatable content opportunities, then create an optimization backlog ranked by expected impact, effort, and confidence. For every task, include the observed evidence, a specific action, an owner, a due date, a success metric, and a guardrail that would stop the test. Use [Minimum Volume] and [Materiality Threshold] to avoid reacting to noise, and label any recommendation that requires a field or business definition not available in the returned dataset.

Facebook Pages Content Format Performance Review

Using the Catchr MCP, analyze Facebook Pages for [Account or Entity] over [Reporting Period] versus [Comparison Period]. Review (Deprecated) Page post impression organic, (Deprecated) Page post impression organic unique, and Page post impression paid and break the results down by Is App Share and Multi share end card. Concentrate on content formats and themes that earn meaningful engagement. Identify the entities and periods driving the largest change, distinguish material movement from normal variation using [Minimum Volume] and [Business Target], and explain what the available fields can and cannot prove. Return a ranked findings table with evidence, business implication, confidence, and recommended next action, followed by a short decision summary. Keep calculations at a compatible reporting grain and do not invent a metric when Facebook Pages exposes only a related signal.

Facebook Pages Audience Growth and Engagement Map

Using the Catchr MCP, investigate Facebook Pages for [Account or Entity] across [Period] with a focus on audience growth, reach quality, and profile actions. Review Page post impression paid, Page post impression paid unique, and Page video views and break the results down by Multi share optimized and Artists we like. Compare relevant entities against [Target, Peer Group, or Historical Baseline], then locate the strongest opportunities and clearest deterioration. For every finding, show the returned values, comparison dimension, possible explanations, and next check required before action. Deliver a prioritized opportunity map with owner, action, expected signal of improvement, and review date. Treat associations as hypotheses unless the available Facebook Pages fields establish a direct relationship.

Facebook Pages Publishing Pattern Opportunity Scan

Using the Catchr MCP, review Facebook Pages for [Account or Entity] over [Lookback Period] to assess posting patterns, distribution gaps, and repeatable content opportunities. Review Page video views, Video Views, and Post video view 10s clicked to play and break the results down by New Like Count and Comment ID. Flag changes outside [Tolerance], rank them by materiality and confidence, and separate confirmed data observations from possible operational causes. Return an exception table with the affected entity, period, supporting fields, severity, owner, first validation step, and recommended response. End with three repeatable monitoring rules, including the threshold, minimum volume, and required field. Do not present an unusual value as proof of an error or business cause.

Facebook Pages Data Quality Audit

Using the Catchr MCP, audit Facebook Pages for [Account or All Connected Accounts] over [Period]. Review Post video view 10s clicked to play, Post video view clicked to play, and Post video views 30sec organic and break the results down by Company Overview and Merchant review status. Check completeness, unexpected nulls, duplicate identifiers at [Expected Grain], invalid values, incompatible aggregation levels, and date consistency where the returned fields support those tests. Return rule-level failure counts and a severity-ranked exception sample with account, field, observed value, expected condition, and reproducible validation step. Distinguish source-data issues from extraction or modeling issues, and do not infer uniqueness, join keys, or business meaning unless confirmed in [Data Contract or Source Documentation].

Facebook Pages Freshness and Coverage Monitor

Using the Catchr MCP, monitor Facebook Pages delivery for [Account or All Connected Accounts] across [Lookback Period]. Review Post video views 30sec organic, Post video views 30sec paid, and Post video complete view organic and break the results down by Can post and Boosted posts eligibility. Measure date coverage, latest available record, row or entity volume, missing intervals, and field population against [Expected Schedule] and [Freshness SLA]. Flag stale extraction, flatlined volume, schema coverage changes, and gaps beyond [Absolute and Relative Thresholds]. Return an account-level health summary plus an investigation table with first affected period, supporting fields, likely failure domain stated cautiously, owner, and next validation query. Separate genuine source inactivity from a pipeline issue whenever the evidence cannot distinguish them.

Facebook Pages Drift and Reconciliation Review

Using the Catchr MCP, compare Facebook Pages across [Current Window] and [Baseline Window] for [Account or All Connected Accounts]. Review Post video complete view organic, Post video complete view organic unique, and Post video complete views paid and break the results down by Post Created Date and Post ID. Profile distributions, null rates, distinct-value counts, volume, and material changes at the declared reporting grain. Reconcile related fields only when their definitions and aggregation levels are compatible. Flag abrupt shifts beyond [Drift Threshold], inconsistent totals, and values that violate [Business or Data Contract Rules]. Produce a reproducible alert table with evidence, severity, probable domain, and next check, followed by a concise assessment of which analyses may be unreliable until each issue is resolved.

Replace [variables] Facts ≠ hypotheses Action + follow-up metric

Connect Facebook Pages to Claude

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How to connect Facebook Pages to Claude ?

Authorize the Facebook Pages account in Catchr

Add the Catchr MCP as a custom connector in Claude

Choose, adapt, and run a prompt.

A simple client question should not trigger an hour of data prep.

Pull another CSV

Rebuild the context

Summarize it by hand

Ask the account. Get to the explanation.

Prepare data before every question.

Connect once. Keep asking.

Twelve Facebook Pages prompts for analyzing real account data.

Facebook Pages to Claude FAQs

What Facebook Pages data can Claude analyze through Catchr?

How granular can Facebook Pages analysis be in Claude?

Can Claude compare Facebook Pages performance across periods or accounts?

Can Claude investigate unusual changes in Facebook Pages?

What types of prompts work best for Facebook Pages analysis in Claude?

Can I combine Facebook Pages with other data sources in Claude?

Can Claude compare multiple Facebook Pages accounts or entities?

What do I need to connect Facebook Pages to Claude with Catchr?

How recent is the Facebook Pages data, and how much history can Claude analyze?

Can Claude change anything in Facebook Pages through Catchr?

How much does it cost to connect marketing data to Claude with Catchr?

Can I try the Claude integration before choosing a plan?

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