SAMPLE: Marketing, media & agencies · Channel-mix performance board

Every dollar, every channel, every client — on one board.

A BICS industry sample for teams running paid, organic and email across several brands: spend, leads, CPL and ROAS by channel and campaign, the full funnel from impression to closed-won, email and web engagement, content, and client profitability. Change a filter and every number on the page recalculates.

Demonstration · Illustrative data · BI Consulting Services

①Channel mix → funnel · where leads come from and where they stall

Ribbon width = leads in the selected period. Grey exits are the leads that did not progress to the next stage.

①

②What this board answers

Three questions a marketing director asks every Monday, answered from the filtered data.

②

③Leads by channel, 24 months · blended CPL vs. the search benchmark

Selected period is highlighted; earlier months are dimmed for context. Hover a month for the breakdown.

③

④Channel scorecard

Spend, leads, CPL and ROAS for the filter. Bars scale to the best channel.

④

⑤Email engagement

Open rate and click-to-open rate by month, email channel only.

⑤

⑥Web sessions & conversion rate

Monthly sessions from the selected channels; label shows session-to-lead conversion.

⑥

⑦Content performance

Top pieces by leads assisted (organic + content/referral traffic).

⑦

⑧Client profitability

Agency fee revenue vs. delivery cost per client (all channels), with gross margin.

⑧

⑨Campaign leaderboard

Top 8 campaigns by ROAS in the filter. Below-benchmark CPL is flagged.

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⑩Ask the data · AI layer

Natural-language questions answered from the same model that powers the board — the answer below is generated from the current filter.

↵ Ask

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¹ Benchmark: WordStream, Google Ads Benchmarks 2026 — median cross-industry search averages of $66.69 cost per lead, 6.64% click-through rate and 8.18% conversion rate, from 13,474 US search campaigns (April 2025 – March 2026). wordstream.com/blog/2026-google-ads-benchmarks. Everything else on this page is illustrative and internally consistent: subtotals add up and percentages match the numbers shown.

This is a generic industry sample built by BI Consulting Services. It is not a client's data and does not represent any real company's results. Four illustrative brands are used to show the multi-client view an agency needs.

Private AI on your own server

The "ask the data" panel above is built to run on a GPU server inside your own network: an open-weight model over your own documents, with every answer citing the file it came from. No per-seat licence, works offline, and nothing leaves the building.

How it sits in your environment

One appliance-class server on your rack or in a secured closet. Your files are indexed where they already live; the model runs locally; answers come back with the source page attached.

What that means in practice

1
Your data only, on your hardwareAn open model over your own documents and exports. No third-party AI processor, no data-transfer agreement to review.
2
Every answer cites its sourceReplies point to the file and page they were drawn from, so people check the answer instead of trusting it blind.
3
No per-seat licenceThe whole team can ask questions. Cost is the server and our build, not a monthly number that grows with headcount.
4
Works offlineIf the internet connection goes down, the answers still come. Nothing depends on a vendor's uptime or pricing changes.