Consumer Internet, Gaming & Media
Sophisticated buyers with analysts and dashboards already. They're not buying capability, they're buying back time. Expect hard technical questions.
What they actually say
These teams are sophisticated. They already have analysts and dashboards, what they don't have is time. Bharat Matrimony's win was the campaign manager getting hours back every day, not a capability they lacked.
Expect harder technical questions than any other vertical: bring-your-own-key requests, scrutiny of the attribution model, and questions about what the AI actually does versus what it summarises.
Where this comes from
| Call | Date | In the room (customer side) | What it established |
|---|---|---|---|
| Zocket Onboarding EloElo | 2026-05-13, 2026-05-15 | Eloelo: Vijay N M; earlier Tejasvi Batria, Saurabh Pandey (AGM) | BYOK request, multi-app structure |
| Bharat Matrimony (production reference) | ongoing | Matrimony: Arun Darwin Harikrishnan (Head of Digital Marketing) | Hours per day returned to the campaign manager. The reference this vertical responds to |
| Zocket Spinny Exploration Call | 2026-05-04 | Truebil: Aniket Dhawan (Associate Consultant) | Used-car marketplace, creative and platform interest |
Module positioning
"Ask your campaigns in plain English and get a ranked action, not a chart. Your analyst stops assembling the morning report and starts acting on it."
Saved dashboards, scheduled alerts, share links, the standing reporting layer.
Creative volume for UGC and short-form; Reels & Stories and UGC Video Creator are the hooks.
Strong for media and OTT, where share of voice is the scoreboard.
Gaming and OTT communities are high-volume and high-toxicity, a real fit when they raise it.
Proof points
- Bharat Matrimony: hours per day returned to the campaign manager, with a substantial monthly spend running through the platform.
- The Playbook ships vetted diagnostic prompts across seven categories, audience & targeting, bidding & delivery, creative & ad relevance, post-click & CVR, conversion value, external factors, tracking & attribution. Each tagged with expected impact and effort, so a junior analyst runs a senior analysis.
- Goals encode what "good" means at account, platform or campaign scope and track on-track / at-risk / breached automatically.
Industry-specific objections
"We want to use our own model keys." Raised by EloElo and 5paisa. Real request, commercial conversation, don't promise on the call.
"Can it actually take the action, or just tell me about it?" Be precise. The experience is insight-first: it diagnoses, recommends and drafts. Native action-taking is an explicit customer ask and a near-term step, not a shipped capability. Over-claiming here is how you lose a technical buyer.
"We already have this in our BI stack." Probably true for the charts. The difference is the ranked action and the ability to keep interrogating the same data in chat, lead with that, not with dashboards.
Discovery
Run the four-layer sequence. Expect these buyers to interrogate the answers, so ask precisely.
Current state
- How long does the morning or weekly report take to assemble, and who does it?
- What does your analyst do with it once it exists?
- How many apps, properties or markets are you running spend across?
- What is in the stack already: BI, MMP, warehouse?
Problem statement 5. Between a metric moving and someone acting on it, how long does that gap run? 6. What did the last saturation or fatigue event cost before anyone caught it? 7. What question does leadership ask that nobody can answer quickly?
Use case 8. If the report assembled itself, what would the analyst do with that time? 9. What would you need to see in a pilot to call it successful?
Qualification 10. Do you have a policy on where models run or whose keys are used? 11. Is community moderation volume a problem yet, or is it coming?