Use casesComputer
Create a marketing intelligence command centre
Unify cross‑platform ad data into an interactive command centre for budget planning, insights, and execution.
- Computer
- Deep Research
- Premium Sources
- Connectors
- Marketing
Overview
Computer can transform raw cross-platform ad exports into a unified marketing command centre that shows where your pipeline truly comes from and how every incremental dollar should be allocated. It normalises Google, Meta, and LinkedIn data into a single full‑funnel view, layers on competitive intel, and delivers an interactive dashboard with budget sliders, overlap analysis, and tactical next actions your team can execute immediately.
Key output
Computer ingested your February Google, Meta, and LinkedIn exports, normalised conversion definitions and attribution windows, and built a full‑funnel view from impression to paid user for each platform.
It surfaced Google as the core pipeline driver with the lowest blended CPA and strongest ROAS, Meta as the high‑leverage retargeting and trial engine, and LinkedIn as the expensive but high‑intent enterprise channel with the best click‑to‑lead rate. It then identified four underperforming campaigns (each with CPAs above $160 and sub‑1x ROAS) that were dragging down blended efficiency and recommended pausing them to reduce wasted spend.
Using audience definitions and pixel data, Computer mapped where Zenith is bidding against itself on overlapping SaaS decision‑maker segments across Google, Meta, and LinkedIn, while also highlighting three uniquely valuable audiences: Google brand search, Meta 1% lookalikes, and LinkedIn ABM named accounts.
It analysed creative and messaging patterns to flag which formats and value props consistently win across platforms, then built two budget scenarios — a $200K cut and a $350K increase — with a marginal efficiency curve showing where incremental dollars earn the best CPA and ROAS.
Competitive intel cards for Datadog, HubSpot, Monday.com, and Notion summarise their spend posture, keyword themes, and ad angles, and Computer distilled everything into 10 concrete P1–P3 actions (pause specific campaigns, 3x Meta retargeting, launch named conquest keywords, shift budget between channels). All of this is deployed as a responsive marketing command centre with an overview tab, campaign drill‑down, budget optimiser sliders, audience overlap view, competitive intel, and a prioritised recommendations tab you can run your weekly performance meeting from.
Tips
- Lock in funnel definitions – Tell Computer exactly how to define each stage, for example: “Treat trials started within 7 days of first click as conversions; exclude view‑through conversions from efficiency metrics.”
- Constrain competitors and geos – Focus the intel where it matters, for example: “Prioritise US/UK search for ‘SaaS analytics’ competitors and ignore SMB‑only tools.”
- Align recommendations to your sprint cadence – Tie actions to planning, for example: “Group recommendations into ‘Do today’, ‘This sprint’, and ‘Next month’ so I can drop them straight into our Jira board.”