How to Build Weekly Sales Reports in Sheets & Excel

### 1. Manual ways to build a weekly sales report template#### A. Start from a blank Google Sheets template1. In Google Sheets, go to `File > New > Spreadsheet` or use a template from the gallery.2. Create core tabs: - `Raw Data` (all weekly activities and deals) - `KPIs` (summary metrics) - `Dashboard` (charts and tables).3. In `Raw Data`, define columns: Date, Rep, Account, Stage, Deal Value, Calls, Emails, Meetings, Outcome.4. Use filters and data validation for clean entry. See Google’s guide on formatting and data validation: https://support.google.com/docs/answer/60002925. In `KPIs`, use formulas like: - Total revenue: `=SUMIF(Raw Data!A:A,"this week",Raw Data!F:F)` (adjust ranges) - Conversion rate: `=Closed Deals / Qualified Opportunities`.6. Build charts on `Dashboard` via `Insert > Chart`. Use line charts for trend, bar charts per rep. Docs: https://support.google.com/docs/answer/63824Pros: Flexible, easy to start. Cons: Entirely manual, error‑prone when volume grows.#### B. Build a weekly report in Excel1. Open Excel and choose a blank workbook or a built-in sales template via `File > New`.2. Mirror the same three-sheet structure: `RawData`, `KPIs`, `Dashboard`.3. Load weekly exports from your CRM into `RawData` (copy-paste or import CSV).4. Use tables (`Ctrl+T`) for structured data, then create PivotTables via `Insert > PivotTable` to summarize revenue by rep, product, or channel. Guide: https://support.microsoft.com/en-us/office/create-a-pivottable-to-analyze-worksheet-data-a9a84538-bfe9-40a9-a8e9-f991344565765. Build charts from PivotTables: `Insert > Chart`. See: https://support.microsoft.com/en-us/office/create-a-chart-from-start-to-finish-e76a34a3-c5cf-4d4f-8b52-2f0ed748e0b7Pros: Finance-friendly, strong analysis tools. Cons: Version chaos if files are emailed, still manual.#### C. Use printable weekly sales templates1. Download a template (e.g., Smartsheet or a simple Excel/Sheets layout).2. Customize headings to your funnel: leads, opportunities, demos, proposals, closed-won.3. Each week, type in totals per day and let prebuilt formulas calculate weekly sums and variances.Pros: Very simple for small teams. Cons: No drill-down by rep or channel, manual data entry.#### D. Create a weekly call/activity log1. In Sheets or Excel, dedicate a tab to activities.2. Columns: Date, Rep, Lead Source, Call Outcome, Next Step.3. Use conditional formatting to highlight no-follow-up or aging leads.Pros: Clear lens on effort vs. outcome. Cons: Needs discipline; still copy-paste from CRM.#### E. Monthly roll-up from weekly tabs1. Keep one sheet per week (Week 1, Week 2, etc.).2. Create a `Monthly` tab that references weekly totals using `=SUM(Week1!B2,Week2!B2,Week3!B2...)`.Pros: Historical view. Cons: Formulas get brittle as weeks accumulate.---### 2. No-code automation methods#### A. Connect Google Sheets to your CRM1. Use add-ons or connectors (e.g., native CRM add-ons) that sync data directly into Sheets.2. Set up a saved report in your CRM (e.g., "Closed deals this week"), and map its fields into the `Raw Data` tab.3. Configure refresh schedules (daily or hourly) so by Friday your weekly report is already populated.4. Layer formulas and charts on top of that live data.Pros: No more CSV exports; data is always fresh. Cons: Limited to what the connector exposes; tricky across multiple tools.#### B. Automate data collection with triggers1. Use automation tools (e.g., Zapier/Make) to watch for new or updated deals in your CRM.2. For each new deal, append a row into Google Sheets or an Excel Online workbook stored in OneDrive.3. Map fields like deal value, stage, owner, created date. Your weekly report simply filters `Date` to the current week.Pros: Near real-time pipeline view, less manual entry. Cons: Requires careful field mapping and error handling.#### C. Use pivot dashboards in Excel Online1. Store your Excel weekly report in OneDrive or SharePoint.2. Connect to data sources (e.g., Power Query to pull from databases or CSVs).3. Refresh queries weekly, then refresh PivotTables and charts in one click.4. Share a link; everyone sees the same up-to-date dashboard.Pros: Strong for teams already in Microsoft 365. Cons: Setup complexity for non-technical users.---### 3. Scaling with AI agentsNow imagine instead of you orchestrating connectors and Zaps, an AI agent behaves like a tireless operations assistant.#### A. AI agent as your data runner1. Each week, your AI agent logs into CRM, email, and ad platforms, following your written SOP.2. It exports the right reports, cleans column names, fixes dates, and deduplicates rows in Google Sheets or Excel.3. The agent then updates your `Raw Data` tab, recalculates KPIs, and refreshes charts.Pros: Zero clicking for you, flexible across tools, can adapt to UI changes. Cons: Needs good instructions and initial supervision.#### B. AI agent maintaining templates and QA1. In addition to pulling data, instruct the agent to validate numbers: compare this week’s totals against last week and flag anomalies (e.g., revenue suddenly at 0 for a channel that was strong).2. It can add comments directly inside Sheets or Excel (via desktop app) summarizing insights: "Paid social leads dropped 32% WoW".Pros: You get both automation and analysis; fewer silent errors. Cons: Still requires human judgment on strategic decisions.#### C. AI agent at true scale1. For agencies or multi-region orgs, the agent can iterate through a list of clients or territories, duplicate a master weekly template, connect each to its respective data source, and generate dozens of reports.2. It can then save each report in the right folder and even draft summary emails to stakeholders.Pros: Massive time savings, especially for agencies. Cons: Must carefully manage access, credentials, and naming conventions.Used together, traditional templates, no-code automation, and AI agents give you a stack: structure in Google Sheets and Excel, automation for data movement, and an intelligent assistant that operates your entire reporting workflow end to end.