Conversion tracking, done first
GA4, enhanced conversions, and offline conversion import where relevant — so every decision made after week one runs on honest data instead of inflated or miscounted signals.
Digital Advertising
₹57.8 Cr+ of paid spend has taught us one thing: the account settings matter less than the system around them. Tracking, search intent, landing pages, and weekly optimization — that's what separates an 8x account from a 2x one. Optiv rebuilds the system first, then runs the account inside it.
Quick answer
Professional PPC management covers the full paid search system — account structure, keyword and intent strategy, ad copy testing, bid and budget management, negative keyword hygiene, landing page alignment, conversion tracking, and CRM-connected reporting — reviewed weekly and reported against revenue, not clicks.
Most underperforming Google Ads accounts share the same autopsy: conversion tracking that counts page views as conversions, broad match keywords burning budget on irrelevant searches, one ad variant running unchallenged for months, and traffic sent to a homepage that answers nothing. None of these are advanced problems — they're maintenance problems, and maintenance is precisely what a set-and-forget management style skips.
Management starts with tracking, always. If an account can't tell the difference between a real lead and a bounce, every optimization after that is guesswork dressed up as strategy. Once the data is honest, weekly cycles do the rest: cut what's bleeding, feed what's converting, test what might beat the control.
Google Ads gets blamed for performance problems that are almost always upstream of the platform itself. The auction system, the bidding algorithms, Performance Max — these tools work as designed. What fails is usually the input: broken tracking feeding bad signals into automated bidding, an account structure built once and never revisited, or a landing page that doesn't match what the ad promised. See our Conversion Rate Optimization service for what happens once traffic lands.
This matters because it changes where the fix actually needs to happen. An agency that only touches campaign settings — bids, budgets, ad copy — while ignoring tracking accuracy and landing page relevance is optimizing a small fraction of what actually determines account performance. The account settings are the visible 20% of the work; the tracking, structure, and destination page are the invisible 80% that decide whether that 20% has anything real to work with.
In plain terms: every time someone searches, eligible advertisers enter an instant auction where Google's system weighs bid amount, ad quality, and expected impact to decide which ads show and in what order — and increasingly, automated bidding strategies make real-time bid decisions based on the conversion signals your account feeds them.
This is why conversion tracking accuracy sits upstream of everything else. Automated bidding strategies like Target ROAS or Maximize Conversions are only as good as the data they're optimizing toward. Feed the system inflated or inaccurate conversion signals, and it will confidently, efficiently optimize toward the wrong outcome — spending more to acquire what looks like a conversion but isn't a customer.
Quality Score and ad relevance also compound over time: consistently relevant ads, keywords, and landing pages earn lower costs for the same auction position, which is why account structure and landing page alignment aren't a "nice to have" — they directly affect what you pay per click.
Where budget disappears
Thank-you pages that fire on refresh, form submissions counted as sales, page views miscounted as conversions — inflated data that makes automated bidding optimize toward noise.
Budget spent on searches with zero purchase intent, silently draining spend that should go to buyers actually ready to act.
Without structured testing, there's no way to know if a stronger-performing ad exists — and no mechanism improving performance over time.
An ad promising a specific offer that lands on a generic homepage forces the visitor to do the work of finding what they were promised — and most won't. See our Landing Pages & Funnels service for the fix.
Feeding PMax a weak product feed and no real conversion values, then treating the resulting spend as unexplainable rather than a signal problem to fix.
Constant changes to bid strategy or campaign structure force the algorithm to relearn from scratch repeatedly, which can look like "optimization" while actually preventing the system from ever reaching stable performance.
Pull your last Google Ads report. If it shows clicks and CTR but no clear revenue figure tied to actual sales or qualified leads, tracking is very likely the first problem to fix — not the campaigns themselves.
How it works
Google Ads accounts don't improve through a single overhaul — they improve through disciplined, repeated cycles that compound. Optiv runs every account through the same four-stage cycle.
Week 1–2
Full account audit and conversion tracking rebuild — measurement corrected before any campaign changes are made.
Week 2–3
Campaigns rebuilt around intent tiers and margin; wasted spend is cut immediately, typically funding the testing phase that follows.
Week 3 onward, continuous
Weekly cycles identify winning ads, audiences, and bid adjustments, with winners receiving budget as they prove out.
Ongoing, quarterly
Strategy reviews redirect budget to what the data has proven, with learnings shared across Meta, SEO, and landing page work.
Deliverables
GA4, enhanced conversions, and offline conversion import where relevant — so every decision made after week one runs on honest data instead of inflated or miscounted signals.
Campaigns built around buying intent and margin, not a generic keyword list — structured deliberately so that scaling spend later doesn't break the efficiency you started with.
Search term hygiene, bid and budget adjustments, and structured ad testing every week — logged, so you can see the actual work behind the results, not just the results themselves.
Feed optimization, asset group strategy, and channel controls that make PMax accountable and explainable instead of an unexplained black box consuming budget.
Every campaign points to a message-matched page — and we'll tell you plainly when the landing page, not the ad, is the actual problem holding back performance.
Where a CRM exists, we connect ad platform data to real deal outcomes — not just leads, but which leads actually became paying customers and what they were worth — closing the loop from click to realized revenue, not just predicted revenue from a form fill.
Monthly reports in plain language: spend, revenue, ROAS, what was tested, what's next — five minutes to read, not forty slides to sit through.
Who we work with
Google Ads strategy shifts significantly depending on sales cycle and margin structure. We work across:
Where Shopping and Performance Max feed quality directly determines efficiency at scale.
Where longer sales cycles make CRM and pipeline attribution essential to knowing what's actually working.
Where structural account limits, not budget, are often the real ceiling on growth.
Where high-value, lower-volume conversions demand precise intent targeting and margin-aware bidding.
Where local intent and Local Services Ads often complement core Search campaigns.
Each industry runs a different mix of Search, Shopping, and Performance Max — the Restructure stage is scoped around your specific margin and sales-cycle reality.
We build measurement on GA4 with enhanced conversions and offline conversion import where a CRM or sales process supports it, so automated bidding optimizes toward real business outcomes rather than proxy signals. Performance Max and Shopping run through Google Merchant Center with structured feed optimization. Reporting runs through a live dashboard alongside a monthly plain-language report focused on revenue and ROAS.
The diagnosis behind everything we build is simple: growth breaks after the click.
The 8.2 figure isn't a pitch number — it's the trailing three-month average across accounts run exactly the way this page describes.
Judge any PPC provider, including us, on three behaviors: do they fix tracking before optimizing, do they log every change so you can see the actual work, and do their reports lead with revenue including the bad months. Most of the accounts we inherit from a previous agency suggest at least one of those three was skipped.
Who should actually do this
| Self-Managed | Freelancer | General Agency | Optiv | |
|---|---|---|---|---|
| Tracking accuracy | Often unchecked | Varies by individual | Assumed correct, rarely audited | Fixed and verified first, always |
| Account structure | Basic, rarely revisited | Depends on individual skill | Often templated | Intent- and margin-led, built to scale |
| Testing cadence | Ad hoc, if any | Inconsistent | Monthly at best | Weekly, logged |
| CRM / revenue attribution | Rare | Rare | Occasionally offered | Standard — connected to real deal outcomes |
| Reporting | None | Clicks and CTR | Clicks, CTR, sometimes ROAS | Revenue and ROAS, including bad months |
| Best fit | Very early-stage, minimal budget | Single, well-defined campaign | Larger teams wanting hands-off delivery | Businesses wanting spend tied to real revenue |
How it works
Full account audit and conversion tracking rebuild — measurement corrected before any campaign changes are made.
Campaigns rebuilt around intent tiers and margin; wasted spend is cut immediately, typically funding the testing phase that follows.
Weekly cycles identify winning ads, audiences, and bid adjustments, with winners receiving budget as they prove out.
Strategy reviews redirect budget to what the data has proven, with learnings shared across Meta, SEO, and landing page work.
Questions
The full paid search system — account structure, keyword and intent strategy, ad testing, bid and budget management, negative keyword hygiene, landing page alignment, conversion tracking, and revenue-first reporting — not just campaign settings in isolation.
It depends on margin, market, and starting point — anyone quoting a number before seeing your account is guessing. Our managed accounts have averaged 8.2 ROAS over the last three months and 5.8 overall, but those figures come from fixing systems, not a template.
We work best with businesses spending ₹50,000+ per month, since below that, testing cycles take too long to produce reliable signal. If you're earlier than that, we'll say so directly and suggest what should come first — usually tracking and landing page work.
Both, plus Shopping. PMax rewards accounts fed properly — clean product feeds, strong creative assets, real conversion values — and punishes everyone else with spend it won't explain.
Judge us on three behaviors: we fix tracking before optimizing, we log every change so you can see the actual work, and our reports lead with revenue including the bad months.
Pricing depends on account complexity and spend level — we provide a clear rate after a free account audit rather than a generic published number.
Tracking fixes and account restructuring can show initial signal within weeks; meaningful, stable performance improvement typically takes a full quarterly cycle as automated bidding systems gather enough accurate data to optimize well.
For very small, simple accounts, yes. Once testing cycles, CRM attribution, and Performance Max feed management enter the picture, most business owners don't have the dedicated time this level of management actually requires.
Running ads means launching campaigns. Management means the full weekly discipline of testing, tracking accuracy, budget reallocation, and landing page alignment that determines whether those campaigns actually improve over time.
Where a CRM exists, yes — connecting ad spend to actual deal outcomes, not just leads, is a standard part of our reporting rather than an add-on.
Broken or inaccurate conversion tracking is the most common root cause we find — it silently causes every optimization built on top of it to work against the account rather than for it.
Weekly — search term hygiene, bid and budget adjustments, and structured ad testing happen on a weekly cycle, logged so the work is visible, not just the results.
Yes — Shopping and Performance Max feed optimization is a core part of our e-commerce work, since feed quality directly determines efficiency at that scale.
This is common — cleanup of overlapping campaigns, redundant keywords, and reset bid strategies typically takes several weeks before restructuring can begin properly.
Yes — CRM and pipeline attribution matters most for these accounts specifically, since the actual value of a lead often isn't known for weeks or months after the click.
A live dashboard plus a monthly plain-language report covering spend, revenue, ROAS, what was tested, and what's next — designed to take minutes to read, not an hour to decode.
Yes — we frequently run both together, and learnings from paid search intent data often inform SEO keyword strategy and vice versa.
Neither is universally better — PMax excels when fed high-quality data and creative assets; standard Search campaigns offer more granular control. Most mature accounts use both deliberately, not one instead of the other.
Account audit and conversion tracking rebuild — measurement is corrected before any campaign structure changes are made, since optimizing on bad data actively wastes budget.
Yes — no lock-in contracts, consistent with how every Optiv engagement is structured.
Curated India & US markets only — metros, key T1/T2 cities, and priority states. Built from our core service pages, not thin doorway copies.
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