Connect Piano Analytics to Claude

Multi-Client Piano Analytics Health Radar

Using the Catchr MCP, analyze Piano Analytics for [List of Client Accounts] over [Reporting Period] against [Comparison Period]. For each account, review Sessions, Users, and Conversions and break the results down by Source and Source Medium. Focus on traffic quality and acquisition efficiency. 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 Piano Analytics only shows correlation.

Client-Ready Piano Analytics Performance Brief

Using the Catchr MCP, review Piano Analytics for [Client Account] during [Reporting Period] versus [Comparison Period]. Review Conversions, Page To Purchase Rate, and Sales and break the results down by Source Campaign and Source Search Engine Country. Explain what improved, what declined, and which changes are material for acquisition, landing-page, engagement, event, and conversion 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.

Piano Analytics Opportunity and Risk Map

Using the Catchr MCP, compare Piano Analytics across [List of Client Accounts] for [Period] using [Materiality Threshold] and [Client-Specific Targets]. For every account, review Sales, Time Spent, and Sessions Buffering and break the results down by Source Email Send Date and Source Campaign Deprecated. Investigate landing-page engagement and conversion gaps and device, market, event, and channel differences. 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 Piano Analytics Priority Queue

Using the Catchr MCP, pull Piano Analytics for [List of Client Accounts] over [Recent Period] and compare it with [Baseline Period]. For each client, review Sessions Buffering, Sessions Rebuffering, and Conv1 Users and break the results down by Source Campaign Group and Source Campaign ID. 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 Piano Analytics Client Report

Using the Catchr MCP, create a monthly Piano Analytics report for [Client Account] covering [Current Period] versus [Previous Period]. Review Conv1 Users, Sales Per User, and Time Spent Per User and break the results down by Page and Country. Explain the most important movement in acquisition, landing-page, engagement, event, and conversion 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.

Piano Analytics Optimization Backlog

Using the Catchr MCP, analyze Piano Analytics for [Client Account] over [Lookback Period]. Review Time Spent Per User, Time Spent Per User Loads, and Time Spent Per Events and break the results down by Date and Source Ad Channel. Identify the largest opportunities related to traffic quality and acquisition efficiency and device, market, event, and channel differences, 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.

Piano Analytics Acquisition Quality and Conversion Review

Using the Catchr MCP, analyze Piano Analytics for [Account or Entity] over [Reporting Period] versus [Comparison Period]. Review Time Spent Per Events, Time Spent Per Pages Loads, and Sales Per Visitor and break the results down by App First Session Date and Source Ad Detail Placement. Concentrate on traffic quality and acquisition efficiency. 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 Piano Analytics exposes only a related signal.

Piano Analytics Landing Page Opportunity Map

Using the Catchr MCP, investigate Piano Analytics for [Account or Entity] across [Period] with a focus on landing-page engagement and conversion gaps. Review Sales Per Visitor, Average Time Spent, and AV Time Spent and break the results down by Source Ad General Placement and Source Affiliate Identifier. 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 Piano Analytics fields establish a direct relationship.

Piano Analytics Channel and Device Behavior Analysis

Using the Catchr MCP, review Piano Analytics for [Account or Entity] over [Lookback Period] to assess device, market, event, and channel differences. Review AV Time Spent, Time Spent Loads, and Time Spent Per Visitor and break the results down by Source Affiliate Identifier ID and Source Affiliate Type. 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.

Piano Analytics Data Quality Audit

Using the Catchr MCP, audit Piano Analytics for [Account or All Connected Accounts] over [Period]. Review Time Spent Per Visitor, Time Spent Per Visitor Loads, and Time Spent Per Visits and break the results down by Source Affiliate Type ID and Source Code. 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].

Piano Analytics Freshness and Coverage Monitor

Using the Catchr MCP, monitor Piano Analytics delivery for [Account or All Connected Accounts] across [Lookback Period]. Review Time Spent Per Visits, Time Spent Per Visits Loads, and Session Ad and break the results down by Source Creation and Source Creation ID. 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.

Piano Analytics Drift and Reconciliation Review

Using the Catchr MCP, compare Piano Analytics across [Current Window] and [Baseline Window] for [Account or All Connected Accounts]. Review Session Ad, Conv1 User Rate, and Visits Per User and break the results down by Source Custom and Source Detail. 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 Piano Analytics to Claude

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How to connect Piano Analytics to Claude ?

Authorize the Piano Analytics 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 Piano Analytics prompts for analyzing real account data.

Piano Analytics to Claude FAQs

What Piano Analytics data can Claude analyze through Catchr?

How granular can Piano Analytics analysis be in Claude?

Can Claude compare Piano Analytics performance across periods or accounts?

Can Claude investigate unusual changes in Piano Analytics?

What types of prompts work best for Piano Analytics analysis in Claude?

Can I combine Piano Analytics with other data sources in Claude?

Can Claude compare multiple Piano Analytics accounts or entities?

What do I need to connect Piano Analytics to Claude with Catchr?

How recent is the Piano Analytics data, and how much history can Claude analyze?

Can Claude change anything in Piano Analytics 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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