// CATEGORY
All Digital Marketing
Campaign engines wired to real event data, so reach is measurable — not anecdotal.
ExplorePaid search, social and retargeting run by engineers — landing pages we build, server-side tracking, audiences from your own registration data.
Most agencies run campaigns on infrastructure they did not build. A tag is bolted onto someone else's website, a pixel fires on a page nobody controls, and reporting turns into an argument about attribution. ZebIQ works the other way around. We build the landing page, the form, the tracking layer, and the database the conversion lands in — then we buy media against it.
Because we already run registration, check-in, and the event CRM for our clients, the audiences are real rather than modelled. Who registered. Who paid. Who scanned in at the gate. Who dropped off between step two and step three of the form. Those segments go into Google Ads, Meta, and LinkedIn as matched audiences and lookalike seeds, and actual outcomes — attendance, qualified leads, closed revenue — get pushed back into the platforms as offline conversions so bidding optimises against what happened, not against a form submit.
Paid media is a measurement and iteration discipline, not a growth hack. The first weeks are spent making the numbers trustworthy: server-side conversions, Consent Mode, deduplicated events, clean UTM taxonomy. After that it is a weekly loop of creative tests, search term review, audience pruning, and budget reallocation, reported against INR spend and cost per real outcome. You own the ad accounts, the pixels, the data, and the landing pages throughout.
Segments are built from your first-party records — registrants, no-shows, attendees, past buyers, lapsed leads — not from interest categories guessed by an ad platform. The same lists seed lookalike and similar-audience expansion, so prospecting starts from people who actually converted.
Conversions are sent from our server to Google and Meta with hashed identifiers and event deduplication, so ad blockers, iOS restrictions and browser cookie limits do not silently delete a third of your data. Consent Mode v2 is implemented properly rather than switched on and forgotten.
Landing pages, forms, and payment or registration flows are engineered by us on infrastructure we control, with tracking designed in from the first commit. Page speed, form validation and step-level drop-off instrumentation are part of the build, not a later fix.
Attendance scans, sales-qualified status and closed revenue are matched back to the originating click ID and imported as offline conversions. Bidding then optimises toward outcomes that occurred in your database instead of toward whichever keyword produced the most form fills.
Structured tests across hooks, formats and offers, including Hindi and regional-language variants where the audience warrants it. Each test runs to a decision rule agreed in advance, so winners are retired or scaled on evidence rather than on preference.
Daily pacing checks against monthly INR budgets, with alerts for overspend, sudden CPM shifts and campaigns that drift outside their target cost per acquisition. Spend moves between channels on a documented cadence, and every change is logged.
A clear, numbered path from kickoff to live operation — so you always know what happens next.
We inspect what currently exists — tags, pixels, conversion definitions, UTM hygiene, analytics goals — and document what is broken, double-counted or unmeasurable. You get the audit whether or not you continue with us.
We build the landing pages and the server-side tracking layer, define the conversion events, and wire them to your registration system or CRM. Nothing is launched until a test conversion can be traced end to end from click to database record.
First-party segments are exported, hashed and synced to each platform, and campaign structure is built around intent stages rather than a single catch-all campaign. Naming conventions and budget hierarchies are set so reporting stays legible six months later.
Campaigns go live with a defined test plan, learning-phase thresholds and a fixed review cadence. Search terms, placements and creative are reviewed weekly, with losers cut and budget shifted to what is producing measured conversions.
A single dashboard reconciles platform-reported numbers against your own database, and flags where the two disagree and why. Monthly reviews cover spend, cost per outcome, what we tested, what failed and what changes next.
Search and social campaigns drive traffic to registration pages we built, with drop-off tracked at every form step and remarketing triggered for incomplete registrations. Post-event, check-in data reveals which channels delivered people who actually turned up.
LinkedIn and search campaigns target decision-maker segments built from past sponsor and exhibitor records, with lead quality graded in the CRM and fed back as the optimisation signal. Cost per qualified conversation replaces cost per form fill as the reporting metric.
Past attendees, no-shows and unconverted registrants are segmented and re-engaged across editions, cities or product launches. Because the list comes from your own records, suppression works properly and you stop paying to advertise to people who already bought.
No, and anyone who does is guessing on your budget. Results depend on your offer, pricing, market and creative, none of which a media buyer controls alone. What we do commit to is measurement rigour — every rupee traceable to a conversion event we can verify in your database, no spend on channels we cannot measure, transparent weekly reporting including the tests that failed, and full ownership of the ad accounts, pixels and audience data in your name. If a channel is not working, we will tell you to stop funding it.
No. We can integrate with your existing CRM, forms or ticketing system as long as it exposes an API or export we can read. The data loop is simply tighter when we own both ends, because attendance and payment events reach the ad platforms within hours instead of at the end of a manual monthly reconciliation.
Enough to generate a meaningful volume of conversions, not a fixed rupee figure. Ad platforms need roughly 50 conversion events per week per campaign to optimise reliably, so the honest question is whether your budget divided by your expected cost per conversion clears that bar. If it does not, we will tell you to consolidate into fewer campaigns or fix the funnel before increasing spend.
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