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Sample Data — Based on PropEase Realty, a fictitious real estate brand. Numbers are realistic but not real. Get a real audit for your brand →
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Google Ads
C+
Spend ₹287,450
Wasted ₹76,200
Conversions 76
58/100 — Needs Improvement
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Meta Ads
C
Spend ₹195,000
Wasted ₹42,000
Reach 2.8M
51/100 — Needs Improvement
Total Ad Spend
₹482,450
Google + Meta, May 2026
Total Wasted
₹118,200
24.6% of combined budget
Total Conversions
124
Leads across both platforms
Blended CPL
₹3,891
Cost per lead (combined)
Campaign Performance
Google Ads
| Campaign | Grade | Spend | Conv. | CPA | Quality Score | Issues |
|---|---|---|---|---|---|---|
| Brand Search | A |
₹18,200 | 34 | ₹535 |
8.4
|
Clean |
| Display Remarketing | B |
₹42,300 | 18 | ₹2,350 |
6.7
|
1 issue |
| Property Listings | C |
₹89,400 | 12 | ₹7,450 |
4.9
|
3 issues |
| Luxury Homes | C |
₹82,750 | 8 | ₹10,344 |
4.3
|
2 issues |
| Competitor Keywords | D |
₹54,800 | 4 | ₹13,700 |
3.1
|
4 issues |
Issues Found
Google Ads
🔴 Critical
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23 keywords with Quality Score ≤ 3
Driving 31% of spend with poor ad relevance. Need to be restructured into tighter ad groups.
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₹76,200 in wasted spend detected
147 irrelevant search terms triggering ads across Property Listings and Luxury Homes.
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Brand terms firing in Competitor campaign
Your own brand keywords active without exclusions — inflating CPA by an estimated 3×.
🟡 Warnings
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4 ad groups running a single ad
No A/B testing in place. Add 2+ ad variants per group to enable Google auto-optimisation.
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Call extensions missing on mobile
15.3% of traffic is mobile with no call extension — a critical conversion path for property enquiries.
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Keyword overlap across campaigns
"Luxury apartments" triggers in both Property Listings and Luxury Homes, splitting Quality Score signals.
Campaign Performance
Meta Ads
| Campaign | Grade | Spend | Reach | Frequency | Conv. | CPL | Issues |
|---|---|---|---|---|---|---|---|
| Awareness — New Launch | B |
₹52,000 | 1.4M | 3.1x | — | — | 1 issue |
| Lead Gen — Apartments | C |
₹89,000 | 980K | 5.8x | 32 | ₹2,781 | 3 issues |
| Retargeting — Site Visitors | D |
₹54,000 | 210K | 8.2x ⚠ | 16 | ₹3,375 | 4 issues |
Issues Found
Meta Ads
🔴 Critical
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Retargeting frequency at 8.2 — severe ad fatigue
Users are seeing the same retargeting ad 8+ times. CTR has dropped 62% this month. Creative refresh is urgent.
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Pixel not firing on Thank You page
Conversion events are untracked. Your campaign is optimising for clicks, not actual leads — wasting budget on window shoppers.
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₹42,000 in spend with no conversion attribution
The Awareness campaign has zero conversion tracking. You have no visibility into whether it drives leads downstream.
🟡 Warnings
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Audience overlap: 74% between Lead Gen and Retargeting
The same people are seeing both campaigns simultaneously, inflating frequency and competing on auction bids.
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No lookalike audiences in use
All targeting is interest-based. Lookalikes from your existing leads list typically outperform interest targeting by 2–3×.
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Single image format across all creatives
Video and carousel formats consistently outperform static images in real estate. No video creative is active.
✦ Cross-Platform AI Insights
Google + Meta
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Your two channels are spending ₹4.8L/month in isolation
Google and Meta are not sharing audience signals. A customer who clicked your Google ad is not being excluded from cold Meta audiences — you are paying to reach them twice as a stranger.
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Combined wasted spend: ₹1,18,200/month
Google is wasting ₹76,200 on irrelevant search terms; Meta is wasting ₹42,000 on an untracked Awareness campaign. Together, 24.6% of your total ad budget is producing zero measurable outcome.
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Meta retargeting is missing 88% of your Google visitors
Your Google campaigns drove 847 sessions last month. Your Meta retargeting audience has only ~100 of them. The warmest prospects — people who searched and visited — are not being followed up on Meta.
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Brand story is inconsistent across platforms
Google ads lead with "Luxury 3BHK from ₹95L". Meta ads show "Book a Site Visit". There is no unified value proposition. Prospects who see both get mixed signals, reducing overall conversion intent.
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