Your design cycle runs on years; your ad platforms report in days. A design win — the moment a customer commits your part into their product — is the number your board cares about, and it sits in Salesforce three fiscal years downstream of the LinkedIn campaign that started it. Mad Fish Elements connects Claude, ChatGPT, Microsoft Copilot, or Gemini to LinkedIn, Salesforce, Google Search Console, BigQuery, and the rest of your stack — 32 platforms, roughly 1,460 operations — through one governed gateway with per-seat permissions and a full audit trail. We’re Mad Fish Digital, and we built it for exactly this kind of long-cycle, many-system marketing.
With LinkedIn, Google Ads, and Salesforce behind one gateway, you can ask which campaigns touched the accounts behind this year’s design wins — whenever the touch happened. The analyst-week spreadsheet join becomes a prompt, and the board question gets a defensible, repeatable answer every quarter instead of once a year.
Search Console, GA4, and Reddit cover the engineer’s journey — part-number queries, datasheet traffic, community threads. LinkedIn and Salesforce cover the partner’s. One gateway spans both, so product marketing and the partner team stop maintaining parallel reporting stacks and start asking cross-funnel questions: which technical content precedes evaluation-kit requests, and which partner campaigns follow them.
Join LinkedIn engagement to your Salesforce named-account list in one pass, and coverage stops being a quarterly workshop. Which tier-one accounts went quiet, which engaged accounts have no open design-in opportunity, which product lines have whitespace — each is a prompt your team can run Monday morning.
Product marketing, corporate marketing, and developer relations connect to the same 32 platforms through the same gateway — each seat scoped to exactly the platforms and permissions its owner needs. The global roll-up becomes a single prompt across LinkedIn, Google Ads, and Microsoft Advertising instead of a dozen exports. Everyone queries the same connected sources, so the numbers finally match.
Brandwatch, Reddit, and Search Console sit behind the same gateway, so conversation share against your two or three named rivals is a question, not a project. Track it weekly during a launch window, break it out by product category, and see the shift while a response still matters.
An evaluation kit ships this quarter. Design-in happens next year. The design win lands the year after that, and production ramp — the actual revenue — later still. Meanwhile LinkedIn and Google Ads close their attribution windows in 30 to 90 days, so the campaigns that started your biggest wins report as failures. Connecting a three-year-old campaign touch to a design win in Salesforce means exports, spreadsheet joins, and defending the match logic in every review. It’s costly enough that most teams do it once a year — so marketing shows up to board meetings without its best evidence.
Design engineers distrust marketing on principle. They get their information from datasheets, reference designs, application notes, and Reddit threads. Your OEM, ODM, and distributor partners want something else entirely: roadmaps, allocation confidence, and co-marketing support. Same product, two funnels with nothing in common. The engineer’s journey shows up in Search Console part-number queries and documentation traffic; the partner’s shows up in LinkedIn and Salesforce. Reporting that blends them misleads everyone, and running two separate reporting stacks doubles the manual work.
Account-based marketing (ABM) — concentrating spend and content on a named list of target accounts — is the only model that fits when your addressable market is a few hundred companies, not millions of consumers. The catch: coverage reporting. Which of your 400 named accounts engaged this quarter, on which product lines, and which tier-one targets went completely dark? LinkedIn holds the engagement, Salesforce holds the accounts, and nobody has joined them since the last quarterly business review. Whitespace stays invisible until a rival announces the design win you were supposed to get.
Product marketing runs one stack, corporate marketing another, developer relations a third — and campaigns span the Americas, EMEA, and Asia-Pacific with different platforms, privacy rules, and budgets in each region. A global picture of spend and engagement means collecting exports from a dozen logins across three time zones, and the roll-up is stale before the review starts. So regional teams optimize inside their own silo, because their silo is the only data they can actually see.
Share of voice — your slice of the industry conversation compared to named rivals — is how semiconductor categories actually get contested: two or three competitors per product line, and every launch a land-grab for engineer attention. But measuring it means someone assembling Brandwatch exports, community mentions, and search visibility into a deck that’s out of date at presentation and argued about afterward. When a rival’s launch moves the conversation in your category, you find out a quarter later — after the counter-campaign would have mattered.
Copy these into Claude once you’re connected — swap in your own account list and rivals and they’re ready to run.
“Roll up LinkedIn engagement for our named accounts by account tier and product line, match each account to its Salesforce owner and pipeline stage, and rank the ten accounts warming fastest this month.”
The ABM standup list — who’s heating up, who owns them, and what stage they’re really at — without a single export.
“From Google Search Console, list every query containing one of our part numbers from the last 90 days with impressions, clicks, and landing page — and flag part numbers landing on generic pages instead of product pages.”
Part-number query mining: demand you already have, routed to pages that can actually convert it.
“From Brandwatch, compare our share of voice against our two closest competitors in each product category, this quarter versus last, and call out which launches moved the conversation.”
The share-of-voice picture while a response still matters — by category, with the cause attached.
“Shift 20% of budget from our two lowest-engagement LinkedIn campaigns in EMEA to the APAC design-engineer campaign, and summarize what changed.”
A governed budget move executed in the same conversation that justified it — logged to your name in the audit trail.
“Build a design-win funnel dashboard — evaluation kits shipped, design-ins, design wins, and production ramps from Salesforce, with the LinkedIn and Google Ads campaigns behind each stage — and publish it as a report I can share with the exec team.”
The standing board link: the whole cycle in one view, refreshed on schedule, no deck rebuild next quarter.
Boards and business-unit leaders have seen a thousand dashboards — the ones that land use the chart the question calls for:
Semiconductor companies run strict security reviews, and a marketing tool asking for CRM and warehouse access gets the full treatment. Mad Fish Elements is built for that conversation: every seat authenticates through native OAuth under the user’s own identity — click Connect, no API keys generated or stored — and read, write, and delete permissions are granted per seat, per platform, enforced server-side on every call. Every operation across every connected system lands in one full audit trail tied to a named user. The platform is built around documented security controls, so your security team’s checklist starts with documentation instead of exceptions.
Most semiconductor marketing teams start with Growth seats for product marketers working across LinkedIn, Salesforce, Search Console, and BigQuery, add an Ad Ops plan for the team managing paid campaigns, and put Data Visualization behind the design-win and coverage reporting.
Ops seats run $99/seat/mo for Starter (read-only, up to 3 platforms), $299/seat/mo for Growth (read+write+delete, up to 7 platforms), and $499/seat/mo for Agency (all platforms plus multi-team management, priority support, sandbox, BYO OAuth), with Enterprise custom. Ad Ops plans run $299/mo + 0.75% of managed ad spend for Basic (read), $799 + 1.25% for Standard (full capabilities), and $1,299 + 1.50% for Premium (0.85% marginal above $250K/mo spend; adds multi-client, priority support, sandbox), with Enterprise custom. Data Visualization is available as an add-on to any plan, and taking both lines earns a 15% bundle discount on the smaller one.
Per-user native OAuth (no shared credentials, no stored API keys), per-seat read/write/delete grants enforced server-side per platform, a full audit trail tying every operation to a named user, and documented security controls. Your systems of record stay yours.
Better than you’d expect. The percentage applies only to managed ad spend on an Ad Ops plan, and ABM budgets against a few hundred accounts are modest, so the variable portion stays small. Teams that don’t need managed ad operations skip Ad Ops entirely and run flat per-seat Ops pricing.
It points your effort at the channels engineers already use. Search Console shows the part-number and spec queries they’re searching, GA4 shows which datasheets and application notes they read, and Reddit and Brandwatch show what they’re saying — so you invest in documentation and community answers, not louder campaigns.
Yes. A marketing seat can hold read-only Salesforce alongside read-write LinkedIn, enforced server-side on every call — no request phrased to the AI can exceed what the seat allows. Sales operations keeps control of the grant; every query is logged.
That’s the point. Each team’s seats are scoped to their platforms and permissions, the Agency tier adds multi-team management, and everyone queries the same connected sources — so the global roll-up stops being a reconciliation exercise and the audit trail covers all three teams in one place.
Your design-win evidence already exists — it’s just split between ad platforms that forget in 90 days and a CRM that remembers for years. Mad Fish Elements connects them behind one governed layer, so your team asks questions instead of assembling exports. Bring your account list and your toughest attribution question to a walkthrough, and watch it get answered live.
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