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Ppc competitor analysis excel

The PPC competitor analysis workflow built natively in Excel - sheets, formulas, conditional formatting, and pivot tables that turn competitor data into shippable bidding and creative changes.

Updated

Before you start

  • Microsoft Excel 2019 or later, or Excel for Microsoft 365 (formulas use modern functions like XLOOKUP and FILTER)
  • Comfort with PivotTables and basic Excel formulas
  • Your top 20 PPC keywords exported from Google Ads as a CSV
  • 60-90 minutes to build the workbook the first time, then 20 min/month to maintain

The playbook

7 steps

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  1. Create the workbook structure: 6 sheets with named ranges

    Open a new Excel workbook and create six sheets: Keywords, Competitors, AdCopy, LandingPages, AuctionInsights, ActionSheet. Define a named range on each sheet's data area so subsequent formulas reference the range, not absolute cell addresses. Excel's named-range discipline is what keeps the workbook readable in month 6 when you've forgotten what's in row 247 of the AdCopy sheet.

    # Named ranges to define (Formulas → Name Manager):
    Keywords.Data       = Keywords!$A$2:$E$1000
    Competitors.Data    = Competitors!$A$2:$F$100
    AdCopy.Data         = AdCopy!$A$2:$H$5000
    LandingPages.Data   = LandingPages!$A$2:$I$500
    AuctionInsights.Data = AuctionInsights!$A$2:$G$5000
    ActionSheet.Data    = ActionSheet!$A$2:$F$100

    Expected outcome

    A structured Excel workbook with 6 named-range-backed sheets ready to populate.

  2. Build the Keywords sheet with spend-ranked formulas

    Columns: Keyword, MonthlySpend, MonthlyImpressions, YourCPC, YourCVR. Use RANK.EQ to add a Rank column that auto-sorts by spend descending. Conditional format the top 20 rows green - those are your audit anchors. The Excel-specific advantage here is the RANK.EQ formula auto-updates when you paste in next month's spend data, so the audit anchors refresh themselves.

    # Formula in cell F2 (Rank column):
    =RANK.EQ([@MonthlySpend], Keywords[MonthlySpend])
    # Conditional format rule:
    =$F2<=20  →  fill green

    Expected outcome

    A spend-ranked, auto-sorting Keywords sheet with the top 20 highlighted as audit anchors.

  3. Build the Competitors sheet with a multi-source flag

    Columns: Domain, FoundIn_AuctionInsights, FoundIn_SpyFu, FoundIn_SEMrush, SourceCount, ConfidenceTier. The FoundIn columns are TRUE/FALSE. SourceCount sums them with =COUNTIF on the row. ConfidenceTier uses nested IFs: 3 sources = 'High', 2 = 'Medium', 1 = 'Low'. Filter the sheet to High-confidence only when planning audit time allocation.

    # SourceCount formula:
    =COUNTIF([@[FoundIn_AuctionInsights]:[FoundIn_SEMrush]], TRUE)
    # ConfidenceTier formula:
    =IF([@SourceCount]=3, "High", IF([@SourceCount]=2, "Medium", "Low"))

    Expected outcome

    An Excel-native competitor confidence ranking that triages audit attention automatically.

  4. Build the AdCopy sheet with XLOOKUP-linked competitor data

    Columns: Competitor, Keyword, Headline1, Headline2, Description, FirstSeen, LastSeen, PatternTag. Add an XLOOKUP formula in a helper column that pulls each competitor's ConfidenceTier from the Competitors sheet - so when you sort AdCopy, you can immediately filter to High-confidence competitors only. The PatternTag column should use Data Validation with a fixed list: price-led, social-proof, urgency, feature-led, comparison.

    # Helper column formula:
    =XLOOKUP([@Competitor], Competitors[Domain], Competitors[ConfidenceTier], "Unknown")
    # Data Validation source for PatternTag:
    price-led,social-proof,urgency,feature-led,comparison

    Expected outcome

    An AdCopy sheet where every ad row is filterable by competitor confidence and tagged with a constrained pattern label.

  5. Build the LandingPages sheet with a pivot-ready structure

    Columns: Competitor, URL, PageType, HeroOffer, CTAText, SocialProof, WordCount, VideoPresent, FormLength. Insert a PivotTable on a separate sheet aggregating by PageType and VideoPresent - this immediately surfaces 'how many competitor landing pages use video vs not' and 'which page types dominate'. PivotTables are the Excel feature that turns raw landing-page rows into insight in 30 seconds.

    TipAdd a second pivot with Competitor in rows and PageType in columns. You'll see at a glance which competitors run consistent landing-page strategies vs which mix page types.

    Expected outcome

    A landing-page sheet plus two pre-built PivotTables that produce category-level insight without extra analysis.

  6. Build the AuctionInsights sheet as a time-series with sparklines

    Columns: Month, Competitor, ImpressionShare, OverlapRate, PositionAboveRate, OutrankingShare, AbsoluteTopShare. Each monthly export adds rows; the sheet grows over time. Insert sparklines (Insert → Sparklines → Line) showing each competitor's impression share trend over the last 6 months in a summary column. Excel sparklines are the cheapest competitive-trend visualization in any tool.

    # Pivot to produce per-competitor monthly time series:
    # Rows: Competitor
    # Columns: Month
    # Values: AVERAGE of ImpressionShare
    # Then insert sparkline referencing the row range

    Expected outcome

    A time-series Auction Insights sheet with per-competitor sparklines showing 6-month trend at a glance.

  7. Build the ActionSheet as the workbook's only output tab

    Columns: Owner, Category (Bidding / AdCopy / LandingPage), Change, EvidenceSource (which sheet/row sourced this), ExpectedImpact (High/Med/Low), ShipDate, Status. Use Data Validation on Category, ExpectedImpact, and Status. Conditional format Status: green for Shipped, yellow for In Progress, red for Blocked. The ActionSheet is the only sheet leadership sees - all other sheets are scaffolding.

    Expected outcome

    A 1-page action sheet in Excel that traces every change back to its evidence row in another sheet.

Shuttergen

Excel holds the data. Shuttergen ships the ads.

Once your workbook's ActionSheet lists ad-copy tests competitors evidence, Shuttergen generates the creative variants matched to those patterns - so spreadsheet output becomes live ads inside the same week.

Pitfalls

What goes wrong

  • Building everything with absolute cell references

    $A$2:$E$1000 references break the moment you insert a row. Use named ranges and Excel Tables so formulas adapt automatically.

  • Forgetting to refresh PivotTables after data updates

    PivotTables don't auto-refresh on data changes. Add a 'Refresh All' button or use Data → Refresh All before reading the LandingPages and AuctionInsights pivots.

  • Over-engineering the workbook with macros nobody else can maintain

    VBA macros add power but break Excel's portability and create a single-person dependency. Keep formulas and PivotTables - they survive analyst handoff; macros usually don't.

  • Letting the AdCopy sheet grow past 5,000 rows

    Excel handles 5K rows of ad copy fine but cognitive load swamps the analyst. Archive ads older than 18 months to a separate workbook; keep the live sheet trimmed to recent data.

Limits

When this playbook won't work

  • Your team uses Google Sheets exclusively - port the workflow to Sheets (most formulas translate, XLOOKUP becomes the same in Sheets)
  • You don't have Excel 2019+ or Microsoft 365 - the modern functions (XLOOKUP, FILTER, SORT) don't exist in older versions
  • Your PPC competitive set has 50+ competitors - Excel is workable but a database (Airtable, Notion) scales better at that volume
  • You can't get reliable monthly data exports - Excel rewards a clean monthly cadence; without it the time-series tab degrades

Why Excel is the right tool for PPC competitor analysis

Excel's strength is structured comparison. Every competitor row has the same columns, every PivotTable answers the same questions, every formula updates automatically. The PPC competitor analysis workflow is fundamentally a structured-comparison problem - which makes Excel a near-perfect fit.

Excel is also where the bidding team already lives. Google Ads exports to CSV. CSV opens in Excel. Bid managers spend half their week in Excel anyway. Building the competitor workbook in Excel removes the 'switch tool to use this' friction that kills adoption of Notion-based or proprietary-tool-based audits.

Excel's PivotTables and sparklines are the underrated power tools. Most PPC analysts use Excel for tabular data and never touch pivots. The LandingPages pivot and the AuctionInsights sparklines are where this workbook produces 80% of its insight - and they're 5-minute Excel features.

Internal: ppc-competitor-analysis-template, ppc-competitor-analysis, competitor-analysis-ppc-template.

Excel holds the data. Shuttergen ships the ads. Once your workbook's ActionSheet lists ad-copy tests competitors evidence, Shuttergen generates the creative variants matched to those patterns - so spreadsheet output becomes live ads inside the same week.

Generate competitive creative free

Excel-specific tips that compound over time

Convert every data range into a proper Excel Table (Ctrl+T). Tables expand automatically when you paste new rows, formulas reference column names instead of cell ranges, and filter/sort UI is built in. Skipping Tables is the #1 reason Excel competitor workbooks become unreadable by month 6.

Use Power Query to ingest monthly Auction Insights CSVs. Data → Get Data → From File → CSV creates a refreshable connection. Next month, you drop the new CSV in the same folder and click Refresh - the AuctionInsights sheet appends automatically. Saves 10 minutes per month for the life of the workbook.

Save a copy quarterly with a date stamp. Excel files corrupt occasionally and overwrites happen. A naming convention like ppc-competitor-audit-2026-Q2.xlsx produces audit-trail backups for free.

Lock the ActionSheet columns nobody should edit. Review → Protect Sheet, then unprotect only the editable cells. Prevents accidental formula deletion when a teammate copies a row.

FAQ

Frequently asked

Why use Excel for PPC competitor analysis instead of a dedicated tool?
Excel is where bid managers already work, every PPC tool exports to CSV, and PivotTables plus sparklines are the right primitives for structured competitor comparison. Dedicated tools rarely beat a well-built Excel workbook for under-$50K/mo spend levels.
Do I need Excel for Microsoft 365 or will Excel 2016 work?
Excel 2019 or Microsoft 365 strongly recommended - XLOOKUP, FILTER, and dynamic array formulas don't exist in Excel 2016. You can rebuild with VLOOKUP and INDEX/MATCH but the formulas get clunkier.
Can I do PPC competitor analysis in Google Sheets instead of Excel?
Yes - the workflow ports almost 1:1. XLOOKUP exists in Sheets, PivotTables work, sparklines work. Power Query has no direct Sheets equivalent (use IMPORTRANGE or a script), but the rest translates.
What's the most useful Excel feature for this workflow?
PivotTables, by a wide margin. They turn raw LandingPages and AuctionInsights data into category-level insight in 30 seconds. Sparklines are the close runner-up for time-series competitive trends.
How big should the PPC competitor analysis Excel workbook get?
Under 50 MB. Past that, performance degrades and cognitive load swamps the analyst. Archive ads older than 18 months and Auction Insights data older than 12 months to a separate workbook.
Should I use VBA macros in the workbook?
Generally no. Macros create a single-person dependency (whoever wrote them) and break Excel portability. Formulas, Tables, and PivotTables handle 95% of what teams reach for VBA to automate.
How do I share the Excel workbook with the broader team?
Store on SharePoint or OneDrive for real-time co-editing. Email attachments produce version conflicts within a week. Lock all sheets except ActionSheet for view-only stakeholders.

Related

Keep reading

Excel holds the data. Shuttergen ships the ads.

Once your workbook's ActionSheet lists ad-copy tests competitors evidence, Shuttergen generates the creative variants matched to those patterns - so spreadsheet output becomes live ads inside the same week.