One campaign for every offer
Performance Max or Search campaigns lumped together across products, so high-intent queries subsidize spend on keywords that were never going to convert.
Google Ads judged on pipeline, not impressions.
We run Search, Shopping, and Performance Max with shared budget logic, a fixed testing calendar, and tracking that still works after cookie loss. You see what each rupee returned, and what we are cutting because of it. As a google ads marketing agency, the account structure changes based on what you're selling: a real estate account and an EdTech account should never share the same campaign logic.
- Engagement
- Monthly retainer
- First campaign live
- 2–3 weeks
- Best for
- Brands spending ₹3L+ / month
- Reporting
- Weekly, plus live dashboard
Google Ads Account Structure That Matches What You Sell
Most google ads marketing agency retainers run Search and Performance Max with one template whether you sell apartments or certification courses. Google Ads for real estate and EdTech need different keyword logic, landing pages, and conversion definitions, and a shared account makes both underperform.
We structure campaigns around category-specific intent, fix tracking before scaling spend, and report on pipeline outcomes your team can reconcile with CRM data.
Before we start
Why Brands Call Us
Four patterns we hear on almost every first call with a Google Ads client, and usually more than one is happening at once.
Tracking that breaks under scrutiny
Conversion actions that double-count form fills, miss calls, or drop after cookie changes, so optimization decisions are based on numbers finance will not trust.
No written kill list
Underperforming ad groups keep spending because nobody has documented which queries, assets, or audiences to pause on a fixed schedule.
Search and PMax disconnected
Search, Shopping, and Performance Max run with separate rules and no shared learning, so budget fights itself across campaign types.
How it runs
Week 1
Audit before spend moves
Full account, pixel, and conversion access
- Full account, pixel, and conversion access
- Channel-by-channel performance read
- Written priority list of what to fix first
Week 2
Rebuild with clean tracking
Restructured campaigns and asset groups, one per project or course rather than shared
- Restructured campaigns and asset groups, one per project or course rather than shared
- Server-side and event tracking verified, including conversion value passback
- First creative set ready to launch
Week 3–8
Test with a written calendar
Weekly creative and audience experiments
- Weekly creative and audience experiments
- Hypothesis logged before each test
- Winners scaled, losers cut on schedule
Ongoing
Scale what proved out
Budget shifts tied to cost per result and, where relevant, seasonal demand windows
- Budget shifts tied to cost per result and, where relevant, seasonal demand windows
- Monthly channel mix review
- Live dashboard your team can read
Real estate: how we actually structure the account
Most agencies run one Performance Max campaign labeled "Properties" and call it done. Here's what we do instead, and why it matters:
- Separate asset groups per project, not per campaign, so Performance Max can read locality and product signals instead of blending every project into one bid pool.
- Search campaigns built around query patterns ("[locality] + BHK + budget," "[project name] + price," "[project name] + RERA"), each with its own ad group and landing page, not one shared contact form.
- Conversion value passed back to Google, not just conversion count, so bidding optimizes toward revenue rather than raw form fills.
- Benchmark to expect: cost-per-qualified-lead for locality-specific search campaigns typically lands 30–45% below a broad "properties in [city]" campaign, because you are paying for buyers already deciding between projects, not starting from zero.
EdTech: how we actually structure the account
EdTech accounts need structure that matches how students actually decide, not one generic enroll campaign.
- Ad groups split by decision stage, not just by course, with offers matched to intent (syllabus download versus placement report, for example).
- Conversion tracking to demo or trial completion, not form submission alone, so optimization tracks enrollment economics, not vanity leads.
- Seasonal budget shifts tied to the admission calendar instead of flat monthly spend, so you capture spikes around results, deadlines, and hiring seasons.
- Benchmark to expect: cost-per-demo-booking for a well-segmented course or category campaign usually runs meaningfully lower than cost-per-form-fill on a generic "enroll now" campaign, because the lower-commitment ask converts a wider slice of the comparison-stage audience.
Who This Is For
We work as a google ads marketing agency for:
Developers and brokers who need Google Ads for real estate structured by project and locality, not one broad Properties campaign in Performance Max
EdTech platforms and course providers who need Google Ads for EdTech split by decision stage, with tracking on demos and enrollments, not form fills alone
Teams comparing google ads marketing agency options on actual account performance: ask any shortlisted partner for a live dashboard, not a case study PDF
Anyone who wants paid Search and Performance Max coordinated with organic search, not two teams on different keyword lists. See our real estate SEO and EdTech SEO pages for the organic side.
The work
What's in the engagement
Here is what your Google Ads retainer ships and what we review with you every week: account structure, asset tests, and reporting tied to outcomes, not dashboard vanity metrics.
Search, Shopping, and Performance Max from a google ads marketing agency that builds differently for real estate and EdTech.
Search, Shopping, and Performance Max
Google Ads services structured by offer, funnel stage, and intent, with Performance Max asset groups separated by project or program where it matters.
- Keyword and asset groups mapped to how buyers search
- Negative lists and query reports reviewed on schedule
- Budget rules tied to cost per qualified conversion
Tracking and structured testing
Server-side and event-level tracking verified before scale, plus a fixed weekly test calendar for copy, assets, and landing pages.
- Form, call, and CRM-backed events QA'd before optimization
- Hypothesis logged before each test, outcome reviewed after
- Winners scaled and losers cut on schedule, not on sentiment
Reporting and optimization rhythm
Cost-per-acquisition and pipeline metrics in a live dashboard, with weekly review against a written kill list and scale rules.
- Channel and campaign-type breakdown every week
- Google Ads outcomes reconciled with CRM where connected
- Written rules your team can follow between calls
- 2–3 wks
- To first campaign live
- Weekly
- Creative test cadence
- Yours
- Ad account and data ownership
Clientele
Not just clients, more like partners
EdTech and real estate brands work with us long term because we align on outcomes, not vanity metrics.
Before you ask
Is there a minimum ad budget?
We work best with brands spending 3 lakh rupees a month or more. Below that there is not enough data to test against, and your money goes further on one channel run in-house.
Who owns the ad accounts?
You do. We work inside your accounts with our own user access. If we part ways, you keep every campaign, audience, and pixel.
How quickly will we see results?
First campaigns are live in two to three weeks. A meaningful read takes another four to six weeks, because enough conversions are needed to trust the numbers.
Why do you split Performance Max by project or course instead of running one campaign?
Google's automation optimizes within whatever boundaries you give it. One shared asset group means Google picks a winner between your own projects or courses and starves the rest, so separate asset groups let each one compete on its own merits.
Can you also run our organic search alongside this?
Yes, paid and organic can be coordinated under one keyword strategy through our real estate SEO and EdTech SEO services rather than run by two disconnected teams.