Service capability
Paid social & search ads — Meta + Google Ads systems
Paid acquisition works when account structure, intent capture, and measurement agree on what “good” means for your business—not when platforms optimise toward the cheapest click. We engineer Meta (Facebook & Instagram) and Google together so prospecting, remarketing, and high-intent capture feed one scoreboard.
Best when: Teams spending paid budgets across Meta and Google who need disciplined segmentation, negatives hygiene on Search, and creative iteration without resetting learning every Monday.
Deliverables skew toward architecture and optimisation rhythms: naming conventions, guardrails on broad match, geo splits where markets differ, and feed/catalog discipline when ecommerce SKUs are in play.
Paid media mechanics
Spend discipline happens before bid tweaks: intent tiers, negatives hygiene, creative batches, and conversion definitions finance recognises.
Focus 1
Acquisition architecture: separate journeys for cold demand, warm revisits, and high-intent queries—each with budgets sized so algorithms exit learning with intent-aligned conversions.
Focus 2
Search discipline: keyword themes mapped to landing routes; negative-keyword cadences so irrelevant queries don’t silently consume rupees week after week.
Focus 3
Creative throughput for paid social: batches tied to hypotheses (offer, objection, proof slice)—not one-off uploads—so winners scale with documented rationale.
Focus 4
Signals & milestones: pixel/tag hygiene, offline outcomes where CRM allows, and reporting definitions your finance team can reconcile—not dashboards that disagree with reality.
Anti-patterns in paid accounts
- Over-segmentation that starves volume before anything reaches statistical stability.
- Optimising CPL while sales quietly disqualifies half the leads—better to redefine conversions upstream.
- Changing bids, creatives, and audiences simultaneously so nothing remains attributable.
Why “good CPC weeks” still tank quarters
Cheap clicks rarely equal durable pipeline—especially when broad match silently eats branded defence budgets or prospecting steals credit from offline closures booked weeks later. Teams chasing fortnightly leaderboard screenshots optimise Meta toward curiosity taps while Google silently pumps informational queries nobody intends to monetise.
Urban AdMark rebuilds architecture around outcomes finance recognises: assisted conversions documented alongside last-touch dashboards, negatives archived with rationale so audits survive analyst churn, creative batches logged as hypotheses—not mystery uploads.
Spend pacing ties to inventory truth for ecommerce feeds and launch-phase absorption limits for developers—platform automation amplifies promises landing teams cannot fulfil.
Operating rhythm across Meta & Google simultaneously
Cold audiences rarely convert identically across feeds versus SERPs—yet bundling budgets blindly trains blended averages masking dying halves. We allocate exploratory rupees deliberately: Meta skewed toward narrative hooks & remarketing ladders; Search concentrated on tiered keyword themes with surgical negatives refreshed twice weekly minimum.
Creative throughput respects fatigue slopes—typically rotating three concurrent angle families with documented kill thresholds rather than swapping arbitrary uploads.
Measurement drills unify naming conventions (`INV_LAUNCH_META_PROSPECT_V3`) decipherable six months later without Slack archaeology.
Signals beyond pixels when CRM honesty wobbles
Offline confirmation dominates developer CRM reality—pixels alone hallucinate quality. Supplementary Sheets reconciliation nightly aligns WhatsApp labels from intake bots until CRM catches up.
Bid strategies graduate cautiously—Max Conv/TCPA only once volume clears volatility thresholds per geo slice.
Alerts highlight anomaly spikes >35% CPA deltas versus trailing median triggering creative-not-media triage first.
Use cases (how teams apply this)
Illustrative scenarios based on engagements we structure — specifics vary by CRM, inventory, and compliance constraints.
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Real estate developer splitting launch bursts vs evergreen inventory remarketing
Situation: Twin towers phased releases flooded prospecting while unsold Phase-I towers needed sustained nurture.
Our play: Prospecting ad sets capped weekly learning resets; evergreen pools layered engaged video + site SCROLL depth thresholds feeding inventory-specific carousel refreshes.
Outcome lens: Remarketing CPA stabilised despite prospecting CPL spikes during teaser hype.
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D2C apparel scaling broad match experiments without coupon addicts hijacking ROAS
Situation: Broad experiments unleashed bargain hunters stacking influencer codes nightly.
Our play: Negative keyword themes isolating offer-stacking phrases + conditional promo exclusion audiences synced via hourly feed snapshots.
Outcome lens: Incremental ROAS readings diverged materially from blended screenshot peaks—finance trusted roll-forward cadence.
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SaaS hybrid pipeline blending LinkedIn lead forms + branded Search defence
Situation: Committee buys stalled mid-demo while interns polluted branded clicks researching unrelated SKUs.
Our play: RSA pinning compliant proof lines + parallel Performance Max exclusions suppressing careers/blog routes leaking budgets.
Outcome lens: Pipeline influenced metric reconciled demo-stage CSV uploads weekly bridging CRM latency gaps.
Frequently asked questions
- Do you insist on retaining historic campaign IDs?
- Whenever pivot feasible—preserving IDs protects aggregate learning continuity; deliberate resets documented only when structural contamination irreversible.
- Can one strategist truly span Meta & Google deeply?
- Senior pods pair channel specialists behind unified QA dashboards—you interact single-threaded externally.
- Minimum viable monthly budget?
- Statistical sanity rarely emerges below ₹5–8L blended unless hyper-local radius plays—below that expect directional pilots not definitive scaling verdicts.
- AI-generated creative batches?
- Assist drafting variants human-reviewed—hypothesis logs mandatory preventing drift into policy-risk territory.
- How quickly negatives ramp?
- First-pass taxonomy inside ten days then iterative additions triggered by query reviews exceeding SLA thresholds.
- Reporting cadence?
- Weekly tactical snapshots + monthly exec rollup aligning CRM reconciliation cycles.
- Migration from incumbent agencies?
- Phased read-only audits Week 1–2 with overlapping tagging QA preventing attribution cliffs.
Industry playbooks & proof
Explore intent-specific solutions or see case studies. Why ads don’t convert covers leakage outside media alone.
Related case studies
- ₹1.25 Cr net profit — real estate performance marketing — ₹1.25 Cr net profit (client-reported, 12-month period; attribution based on tracked funnel conversions)
- Ecommerce: ₹2.4L → ₹11L in 22 days (Meta only) — ₹2.40L spend → ₹11L revenue (22 days)
- Channel partners: ~₹35,000 average booking cost — ~₹35,000 average booking cost
Pressure-test scope against your stack
Book a short WhatsApp brief—we’ll tell you whether this service line maps cleanly to your funnel.