Capture demand that already exists
Search, social, and display campaigns built around high-intent targeting and disciplined bidding, not broad-match guesswork.
Paid marketing is running search, social, and display campaigns - Google Ads, Meta Ads, LinkedIn Ads, display, and retargeting - as one accountable, continuously optimised system rather than separate channels reviewed in isolation.
Paid marketing spend gets wasted in predictable ways - broad targeting turned on too early, budget spread evenly across channels regardless of what's working, and campaigns left running unreviewed for months. We run paid media as an ongoing discipline, not a launch-and-leave campaign: accounts structured around how buyers actually search and scroll, reviewed weekly, with budget moving toward what the data supports.
Google, Meta, and LinkedIn each reward different account structures and testing cadences, so we run each on its own logic instead of one playbook copy-pasted across all three. Below is the full paid mix - search intent capture, social audience-building, and the display and retargeting layers that keep you present from first click to eventual conversion.
Problems we solve in Paid Marketing
Automation turned on before there is data to learn from
Smart Bidding, ROAS targets, and other automated strategies get switched on before the account has enough conversion history to support them.
No single owner across platforms
Google, Meta, and LinkedIn each report their own numbers, and nobody sees the combined picture or reallocates budget against it.
Creative and targeting left broad
The same ad runs until performance visibly drops, and targeting stays wider than the actual buyer out of caution about limiting reach.
Upper-funnel spend written off as unmeasurable
Display gets judged on click-through rate alone because view-through impact never gets connected to what happened downstream.
Retargeting run as one generic audience
Cart abandoners, blog readers, and pricing-page visitors all see the same ad instead of messaging matched to what they actually did.
Budget left flat regardless of what is working
Spend stays fixed across campaigns and channels instead of shifting weekly toward what the data actually supports.
Everything covered in Paid Marketing
Google Ads
Search, Shopping, and Display campaigns structured around real search intent and conversion data.
Meta Ads
Facebook and Instagram campaigns built around bid strategy, budget pacing, and a real creative testing cadence.
LinkedIn Ads
Firmographic and account-based targeting precise enough to justify the cost per click.
PPC Management
One accountable team owning Google, Meta, and LinkedIn together, so budget moves toward what is actually working.
Display Advertising
Upper-funnel reach on the Google Display Network and programmatic inventory, measured against downstream conversion.
Retargeting
Campaigns segmented by actual visitor behaviour, not one generic all-visitors audience.
What actually changes
| Before | After |
|---|---|
| Automated bidding switched on with nothing to learn from | Automation introduced only once real conversion history exists |
| Each platform optimised and reported in isolation | One team sees the full cross-platform picture and moves budget accordingly |
| Same creative or audience run until performance drops | A fixed testing cadence catches fatigue before it shows up in results |
| Display judged on click-through rate alone | View-through impact tracked against downstream conversion |
| One generic ad shown to every past visitor | Retargeting segmented by page viewed and on-site behaviour |
| Budget left flat regardless of performance | Spend reallocated weekly toward what is actually converting |
What we report on
Cost per qualified lead
Tracked against your baseline from month one, across the full platform mix.
Spend concentration
How much budget sits in the narrowest, highest-intent targeting versus spread thin.
Conversion tracking accuracy
Tied back to the GA4 and Conversions API events we set up, not a platform-reported vanity metric.
Cross-platform attribution
Reported as one view of how a lead actually moved across channels, not each platform claiming full credit.
Tools we work with
Every Paid Marketing service, broken down
Stop Wasting Ad Spend on Clicks That Were Never Going to Convert
We build Google Ads accounts that spend on buyers ready to convert, not on guesswork.
Meta AdsMeta campaign buying, built for ROAS not reach
Facebook and Instagram ad buying focused on bidding strategy, budget pacing, and creative testing velocity.
The highest-CPC platform, spent with precision
LinkedIn campaign management for B2B - targeting precise enough to justify the cost per click.
One Accountable Team for Every Paid Platform You Run
One team owns your Google, Meta, and LinkedIn accounts end to end, so budget goes where it's actually working.
Display AdvertisingAwareness spend that still gets measured properly
Google Display Network and programmatic campaigns for upper-funnel reach, tracked against downstream conversion.
Bring back the visitors who almost converted
Retargeting campaigns segmented by intent signal, not one generic "everyone who visited" audience.
Industries we work with
Built for teams like yoursPairs well with Paid Marketing
Build demand before someone searches for you
Paid and organic social built around where your buyers actually spend attention, not just Instagram trends.
Get more from the traffic you already have
Systematic conversion testing across landing pages and funnels, not one-off redesigns.
Clean data, before anything else
GA4, GTM, and BigQuery implementations that make every downstream decision trustworthy.
Why choose EASI7
We fix tracking before we touch results
Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.
One accountable team, not siloed vendors
The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.
Built for how AI search actually works
Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.
Reporting tied to your own dashboard
Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.
How to engage us for this
Project-based
A defined outcome with a start and end date - an audit, a migration, a campaign build, a tracking overhaul. Fixed scope, fixed price, agreed upfront.
Ongoing retainer
Continuous management and optimization once the initial build is live - campaigns, SEO, reporting, and iteration run every month under one accountable team.
Advisory
Strategy and oversight without full delivery - we review what's already running, unblock decisions, and point an in-house or existing team in the right direction.
Common questions
It depends on the channel and competitiveness of your keywords, but we generally want enough monthly spend to reach statistical significance for testing within a few weeks - for Google Search in most categories, that's a minimum of roughly ₹50,000-1,00,000/month.
Google Search for capturing existing demand, Meta for broader reach and retargeting, LinkedIn for precise B2B targeting at a higher cost per click. Most businesses start with one or two, not all three at once.
Initial data within one to two weeks, but reliable optimisation decisions need enough conversion volume to trust - usually three to four weeks before we'd recommend major budget changes.
Media management is the core of this service - account structure, targeting, bidding, and optimisation. Ad creative production and landing page builds are typically scoped separately, though we flag it clearly when a landing page is actively holding back conversion rate, since that affects paid performance directly.
No - final CPL and ROAS depend on your offer, pricing, market competition, and your own site's conversion rate, none of which media buying controls on its own. What we control is account structure, targeting precision, and bid strategy, and we report honestly when something outside the media plan is setting the ceiling.
Already running Google Ads but not happy with CPL?
We'll audit your account structure and targeting before touching your budget.
Ready to get started?
We usually reply within 24 hours.
Paid Marketing, in detail
Scope, area by area
| Area | What we deliver |
|---|---|
| Search | Google Ads keyword architecture, Shopping structure, and bid strategy matched to real conversion data |
| Social | Meta and LinkedIn campaign structure, bidding, and a fixed creative testing cadence |
| Upper-Funnel & Retargeting | Display measured against downstream conversion, retargeting segmented by visitor behaviour |
| Cross-Platform Ownership | One accountable team, unified reporting, and weekly budget reallocation across every channel |
How this compares
| Paid Media Run as a System | Paid Media Run Channel by Channel |
|---|---|
| One team sees the full cross-platform picture | Each platform optimised and reported in isolation |
| Budget moves weekly toward what the combined data supports | Budget defended by whichever platform manager is in the room |
| Automation turned on only once there is data to learn from | Bidding automation switched on immediately, with nothing to train it |
Most wasted paid spend is not a targeting mistake on any one platform - it is the lack of one owner deciding where budget should actually move.
What we measure this against
- Cost per qualified lead across the full platform mix, not blended cost per click
- How much budget sits in the narrowest, highest-intent targeting versus spread thin
- Cross-platform attribution, not each channel claiming full credit for the same conversion
Where this applies
- A business running Google, Meta, and LinkedIn through separate vendors with no unified view of what is working
- An e-commerce brand wanting cart abandoners retargeted with the specific products they left behind
- A B2B company wanting LinkedIn account-based targeting aligned to the same list sales is already working
- A brand wanting upper-funnel display measured against downstream conversion instead of written off as unmeasurable