How to run annual planning as Small Marketing Teams
Annual planning for a 3-person marketing team means three weeks of spreadsheet archaeology. You pull HubSpot deal data manually, download GA4 exports, screenshot Meta and LinkedIn Ads spend, and paste everything into a Google Sheet that breaks the moment someone adds a column. You're trying to set channel budgets, MQL targets, and content calendars simultaneously — while still running this week's nurture flow in Customer.io. By the time you've stitched together last year's performance, the numbers are already stale and the CEO wants a deck by Thursday. There's no BI tool, no ops person, and no analyst. It's you, a pivot table, and too many browser tabs.
What you'll set up
Apps, data, and prompts
The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.
Starch syncs your HubSpot data on a schedule — contacts, companies, deals, and owners — so pipeline and conversion data is always current. Connect Google Analytics 4, Meta Ads, Google Ads, and LinkedIn Ads from Starch's integration catalog; the agent queries them live when your dashboard or budget tracker runs. Starch also syncs your Notion pages on a schedule, so any existing campaign briefs or planning docs you've already written feed into your Knowledge Management app.
Step-by-step
See this running on Starch
Connect your tools, describe what you want, and the agent builds it. Closed beta is free.
2026 Annual Planning — November 2025 cycle
| Paid Search (Google Ads) | 180,000 |
| Paid Social (Meta + LinkedIn) | 140,000 |
| Content production (contractors, tools) | 60,000 |
| Events (2 field events + 1 conference) | 55,000 |
| Marketing tools & software | 25,000 |
Your 2026 marketing budget is $460,000. In past years you built this in a Google Sheet: you'd download HubSpot deal reports, eyeball last year's ad spend across three platform dashboards, and estimate channel ROI from memory. This year you told Starch: 'Pull our 2026 MQL-to-SQL conversion rate by source from HubSpot, join it against GA4 channel data for the last 12 months, and show me cost-per-MQL by channel using our Meta, Google, and LinkedIn Ads spend.' The output showed LinkedIn Ads at $310 cost-per-MQL versus Meta at $190 — but LinkedIn deals closed 40% faster. That single view shifted $30,000 from broad Meta prospecting into LinkedIn retargeting and a second field event in Chicago. The Budgeting app now tracks that $460K against actual monthly spend pulled live from your ad platforms, with pace indicators by category. You brief the CEO every Monday with an automated Starch summary instead of spending Friday afternoon rebuilding a slide.
How you'll know it's working
What this replaces
The other ways teams handle this today, and how the Starch version compares.
One platform — quarterly budgeting, knowledge management, scenario planning all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.
Try it on Starch →Frequently asked questions
Does Starch actually store our HubSpot deal and contact data, or is it just reading it live?
We use Customer.io for email, not HubSpot. Can Starch connect to it?
Can Starch pull from Amplitude as well as GA4?
Is our marketing data safe? We're passing HubSpot deals and ad spend through here.
Can Starch replace our weekly pipeline-contribution report that we currently build manually?
What about the CEO presentation deck? Can Starch build that too?
We don't use Plaid or Stripe. Can we still use Scenario Analysis for marketing budget planning?
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Read guide →Ready to run run annual planning on Starch?
Request closed-beta access. Everything is free during beta.