Zapier + AI: Build a Sales Coaching Dashboard

Your Google Ads Calls Produce Data - But It Is Stuck in a Silo

When you run Google Ads lead generation with AI callback and conference bridge, every call generates a structured data package: what the lead searched, how the AI qualified them, how the rep performed on the bridge call, what objections came up, whether the lead converted, and why. This data is gold for coaching, forecasting, and ad optimization.

The problem is where this data lives. If it stays in a standalone analytics tool, it creates another login that managers check for a month and then abandon. Your coaching data sits in one silo. Your CRM is in another. Your Google Ads performance is in a third. The Slack channel where your team communicates gets none of it. The spreadsheet where the VP tracks pipeline metrics does not connect to it.

The solution is not another tool. It is a data pipeline that routes AI call analysis to the tools your team already lives in. Zapier is that pipeline - taking structured performance data from every Google Ads call and pushing it to Google Sheets, Notion, Slack, email, Airtable, or any of 6,000+ apps.

What Data the AI Produces After Each Google Ads Call

Before building the Zapier workflows, here is the structured data package available after every call in your PPC pipeline:

• Google Ads attribution. Campaign name, ad group, keyword, GCLID, match type, and device. This tags every coaching data point back to the ad spend that generated it.
• Call metadata. Timestamp, duration, lead name, phone number, assigned rep, and whether the call was AI-only or included a conference bridge handoff.
• Outcome classification. Qualified, not qualified, appointment booked, callback requested, proposal sent, not interested. Each classification includes reasoning from the conversation content.
• Rep performance scores. For conference bridge calls, the AI scores across configurable dimensions: discovery quality, objection handling, active listening, process adherence, rapport building, and closing technique. Each dimension gets a numeric score and supporting evidence.
• Conversation highlights. Specific flagged moments - a strong objection recovery, a missed upsell opportunity, a compliance concern, an excellent rapport-building exchange. Timestamped with context.
• Lead intelligence. Budget signals, timeline, competitor mentions, decision-maker status, and requirements - all extracted from the conversation and tied to the originating keyword.
• Coaching recommendations. AI-generated, specific suggestions: "Practice value-first responses to pricing objections - this lead's keyword was 'affordable [service]' suggesting price sensitivity that the rep did not address proactively."

Google Sheets: The PPC-Attributed Coaching Leaderboard

A Google Sheets leaderboard is the most accessible coaching dashboard. Every rep can see it. Every manager can filter it. And uniquely for PPC teams, it connects rep performance to ad source.

Zapier Workflow Setup

The workflow fires after every analyzed call:

1. Trigger: New call analysis completed (webhook from HelloAinora).
2. Filter: Only proceed for calls involving a human rep (skip AI-only qualification calls if you want rep-specific data only).
3. Action: Add a row to Google Sheets with the call data.

The sheet structure includes columns that connect PPC to coaching:

• Date, time, rep name
• Google Ads campaign, ad group, keyword, match type
• Lead name, call duration
• Overall performance score
• Individual dimension scores (discovery, objection handling, listening, closing, etc.)
• Call outcome
• Lead budget mentioned
• Coaching recommendation
• Transcript link

This structure lets you build analyses that no standalone tool provides. Filter by Google Ads campaign to see which rep handles "premium" keyword leads best. Pivot by keyword to see which search terms produce the hardest objection patterns. Compare rep scores on branded vs. non-branded leads. The coaching insights are richer because the PPC attribution travels with every data point.

Build the leaderboard with native Sheets features: pivot tables for per-rep averages, conditional formatting for score ranges, and charts showing performance trends over time. The leaderboard updates automatically with every call.

Slack: Real-Time Coaching Alerts Tied to PPC Performance

Not every call needs a manager's attention. But some do - immediately. Zapier filters enable targeted Slack alerts for specific conditions:

• High-value lead fumble. If a rep scores below 60 on a call from a keyword with CPC above $50, that is a premium lead handled poorly. Immediate Slack DM to the manager with score breakdown, keyword, and transcript link. This catches expensive mistakes the same day they happen.
• Win on a competitive keyword. When a conference bridge call converts on a keyword where your competitors also bid heavily, a team-channel celebration with the rep name, deal context, and the keyword that brought the lead in. This reinforces what winning looks like on your most contested search terms.
• Objection pattern alert. When the same objection (e.g., pricing) appears on three consecutive calls from one ad group, Slack notifies both the sales manager and the PPC manager. The sales team needs coaching. The PPC team needs to consider ad copy or landing page changes.
• Compliance flag. If the AI detects missing disclosures or unauthorized commitments, an immediate alert goes to the appropriate person regardless of other score metrics.
• Exceptional performance. When a rep scores above 90, a public team-channel recognition message. Include the keyword and lead type so the team sees what excellent handling looks like for specific search intents.

Zapier Configuration for Slack Alerts

Each alert type can be a separate Zapier workflow or combined using Zapier Paths:

1. Trigger: Same webhook for all Zaps (new call analysis completed).
2. Filter/Path: Condition specific to the alert (score threshold, CPC threshold, outcome type, compliance flag).
3. Action: Slack message to the appropriate channel or DM, formatted with relevant data and transcript link.

The key to effective alerts is restraint. If every call generates a notification, managers mute the channel. Limit alerts to conditions that require action - the extremes and the exceptions. Everything else lives in the Google Sheet for on-demand review.

Notion: Coaching Database Linked to Google Ads Campaigns

For teams using Notion for knowledge management, Zapier pushes call analysis into a searchable coaching database that connects rep development to PPC performance.

Database Structure

• Call Date (Date)
• Rep (Select)
• Google Ads Campaign (Select) - which campaign sourced this lead
• Keyword (Text) - the search query or keyword
• Overall Score (Number)
• Strengths (Multi-select) - dimensions where the rep scored well
• Development Areas (Multi-select) - dimensions needing improvement
• Coaching Note (Text) - AI-generated recommendation
• Outcome (Select) - call outcome classification
• Lead Value (Number) - budget mentioned or estimated deal size
• Reviewed (Checkbox) - whether the manager has reviewed this call

The Google Ads campaign and keyword fields are what make this coaching database uniquely powerful for PPC teams. A manager preparing for a one-on-one can filter to show "all calls from the Commercial campaign where Rep X scored below 70." They see exactly which types of Google Ads leads this rep struggles with and can coach specifically to those scenarios.

Notion's linked databases let you connect coaching plans to specific calls. A rep's development page can reference their actual conversations, showing improvement trends across scoring dimensions over time. One-on-one meeting notes link to the specific calls discussed.

Weekly Email Digests: PPC Performance Meets Sales Coaching

Zapier can aggregate weekly data and send coaching reports that bridge the gap between ad performance and sales performance:

• Team summary. Average scores across all dimensions, total PPC calls analyzed, win rate by campaign, and week-over-week trend.
• Campaign-to-close rate. Which Google Ads campaigns had the highest close rate on conference bridge calls this week? Which had the lowest? This tells the PPC manager where lead quality is strong and where it needs attention.
• Rep rankings by PPC lead handling. Each rep's average scores and conversion rate on Google Ads leads specifically, ranked by overall performance.
• Top coaching moments. The 3-5 calls from the week that represent the biggest learning opportunities, with campaign source and context.
• Objection trends. Are pricing objections increasing across the team? Is one Google Ads campaign generating leads that are consistently harder to close? The weekly view surfaces patterns that individual calls cannot show.

Build this with a Zapier Schedule trigger (weekly) combined with a code step that queries the Google Sheet for the past week, calculates summaries, and formats the email. The report goes to both sales managers and PPC managers so both sides optimize from the same data.

BI Tools: Executive Reporting From Ad Click to Rep Performance

For organizations using Looker, Tableau, Power BI, or similar tools, Zapier bridges AI call analytics to your data warehouse. Executive dashboards then show:

• Ad spend to close rate. Which Google Ads campaigns and keywords convert at the highest rate on conference bridge calls? This connects CPC and budget allocation to actual sales outcomes, not just lead volume.
• Rep performance trends. Are individual reps improving, plateauing, or declining over weeks and months? Does coaching correlate with score improvements on specific dimensions?
• Keyword-to-deal-value mapping. Connect the search terms people typed into Google with the deal values discussed on sales calls. This is the ultimate PPC optimization signal - knowing not just which keywords produce leads, but which keywords produce revenue.
• Team capacity analysis. Call volume from Google Ads, bridge utilization rates, and rep hours help determine whether you need more reps or more efficient processes before increasing ad spend.

Keeping the Zapier Architecture Maintainable

As you add workflows, architecture matters:

• Single webhook trigger. All Zaps fire from the same webhook event. Each filters for its specific condition. This avoids maintaining multiple webhook URLs.
• Central data store. Push all call data to one Google Sheet or Zapier Table first. Build dashboards, alerts, and reports from that central source. This prevents inconsistencies.
• Zapier Paths for multi-action workflows. Instead of five separate Zaps for five Slack alerts, use one Zap with five paths. Easier to manage, fewer Zapier tasks consumed.
• Include Google Ads fields in every destination. Campaign, keyword, and GCLID should flow to every tool - Sheets, Notion, Slack, BI. If coaching data loses its PPC attribution, you lose the ability to connect sales coaching to ad optimization.
• Test with real PPC calls. Zapier's test functionality uses sample data. Always verify with an actual Google Ads call webhook to ensure all fields - especially the ad attribution fields - map correctly to every destination.

One-Hour Setup: A Working Coaching Dashboard

Here is what you can build in under an hour:

1. Create a Google Sheet with columns: Date, Rep, Campaign, Keyword, Lead Name, Duration, Overall Score, Discovery, Objection Handling, Listening, Closing, Outcome, Budget Mentioned, Coaching Tip, Transcript Link.
2. Zapier Workflow 1: Webhook trigger → Add row to Google Sheet. Map each field from the call analysis webhook, including all Google Ads attribution fields.
3. Zapier Workflow 2: Webhook trigger → Filter (score below 60 AND CPC above $30) → Slack DM to manager with rep name, keyword, score, and transcript link.
4. Zapier Workflow 3: Webhook trigger → Filter (outcome is "appointment booked") → Slack team channel celebrating the win with campaign source.
5. Build the Sheet dashboard: Pivot table showing per-rep average scores. Add a second pivot by campaign. Conditional formatting for score ranges. Chart showing trends over time.

Five steps. A live coaching dashboard that updates with every Google Ads call. A manager alert system for mishandled premium leads. A team channel for wins attributed to PPC campaigns. Total manual work after setup: zero.

Evolving the Dashboard as Your PPC Scales

Start simple and add layers as you learn what your team needs. Week one, get data flowing to Sheets. Week two, add Slack alerts. Week three, build the weekly email digest that goes to both sales and PPC managers. Week four, connect Notion for structured coaching sessions.

The Zapier architecture is modular. Each component is independent. You can add a new destination, adjust a filter threshold, or change a report format without breaking anything else. As your Google Ads spend scales and your team grows, the dashboard scales with it - always built on the same AI call analysis data, always tagged with the PPC attribution that makes coaching insights actionable for both sales and advertising teams.