Use Google Sheets with an AI Browser for Campaign Research
Run campaign research in Strawberry using Google Sheets as one of the inputs. Specific surfaces, example prompt, real output, and tradeoffs vs alternatives.
If you use Google Sheets and you regularly need to research a campaign or partnership before it ships, the bottleneck is usually the same: Google Sheets holds part of the context, but campaign research also needs signals that live outside it - on the public web, in LinkedIn, in news, in other connected apps. Strawberry is built to combine the Google Sheets context with the rest of the browser, and run the full workflow as a companion you can re-trigger every week.
This page describes specifically how Strawberry handles campaign research when Google Sheets is one of the inputs. It names the Google Sheets surfaces involved, the signals the workflow actually needs, an example prompt you can paste, and what a good output looks like.
The job a marketer, founder, partnership manager is trying to do
The goal of campaign research is to gather the context needed to brief, target, and de-risk a campaign before spending budget. The success metric is concrete: campaign launches on time, CAC within target, and creative does not need a rewrite mid-flight. That definition matters because it shapes what Google Sheets needs to contribute to the workflow.
What signals campaign research actually needs
For each signal below, here is whether Google Sheets can contribute directly or whether Strawberry has to find it via the browser:
- Audience segmentation (who exactly buys this) - Google Sheets does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
- Competitor messaging already in the space - Google Sheets does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
- Winning ad examples (Meta Ad Library, LinkedIn) - Google Sheets does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
- Channel-fit (does the audience even read this channel) - Google Sheets does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
- Creative reference library - Google Sheets does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
- Compliance constraints (data, privacy, claims) - Google Sheets does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
What Strawberry can do inside Google Sheets
Strawberry can read a tab, enrich each row with web research, and write the enriched columns back in place; ideal for lead lists, candidate sourcing, and account research.
Google Sheets surfaces Strawberry uses for this workflow: named ranges, tabs, filters, headers, cell formulas.
How Strawberry runs campaign research with Google Sheets
- Strawberry opens the Google Sheets named ranges that contains the relevant context.
- The companion pulls related context from Google Sheets (tabs, history, attached files) where it exists.
- For the parts Google Sheets does not store, Strawberry uses the browser - web search, LinkedIn, news, the prospect's website.
- Strawberry synthesises the output in the shape this workflow needs: A campaign brief.
- A human reviews before any external action (send, update, post). Then the approved output is saved back to Google Sheets or your system of record.
Example Strawberry prompt
Paste this in a new Strawberry chat with Google Sheets connected. Adjust the specifics to your actual ICP, role, or topic.
Read this Google Sheets named ranges and any linked context.
Then run a full campaign research workflow on it. Use the browser to fill any gaps not in Google Sheets.
Return the output in the shape we use for campaign research: A campaign brief: audience, channels, messaging hypotheses, creative refs, KPIs, risks.
Do not send anything externally. Save the draft to me to review.
What a good campaign research output looks like
Here is what a finished output for campaign research should look like in practice. The specifics will change for your use case, but the shape should look similar:
- Campaign: AI browser launch on Meta Ads - Nordic ICP
- Audience: founders + ops leads at 10-200 person SaaS companies in SE/DK/NO
- Channels: Meta Ads (primary), LinkedIn (secondary), founder LinkedIn organic
- Messaging: 'The browser that does the boring work' - 3 variants
- Risks: Meta still needs Business Verification stable; budget capped at €500/wk in test phase
Why Google Sheets for this, and where to use a different tool
Google Sheets is strong for this workflow because Strawberry can read a tab, enrich each row with web research, and write the enriched columns back in place; ideal for lead lists, candidate sourcing, and account research.
Where Google Sheets falls short very large sheets (10k+ rows) need batching; complex formulas can be misread if cells contain HTML or markdown.
Consider also a CRM for relationship history.
Common mistakes when running campaign research
- Skipping competitor analysis and rebuilding a positioning someone else already won
- Guessing at audience instead of pulling real segmentation
- No creative references so the team designs in a vacuum
Connecting Google Sheets to Strawberry
Native Google Sheets integration with read+write scopes. Once connected, the companion can read the surfaces above without re-authenticating, and any write action still requires explicit human approval the first time the workflow runs.
Caveats
Do not let any AI agent send emails, update CRM records, or change shared systems without a clear approval step. Strawberry is strongest when the workflow combines browser context with connected-app context and a human review for sensitive actions.
How Google Sheets + Strawberry runs campaign research
Read
Open the relevant Google Sheets named ranges; pull related context.
Augment
Use the browser, LinkedIn, news, and other connected apps for signals outside the CRM/tool.
Compose
Synthesise into the campaign research shape: A campaign brief.
Approve
Human reviews before any external action; approved output is saved back.
FAQ - Google Sheets + AI browser for campaign research
Can Strawberry do campaign research entirely inside Google Sheets?
No, and that is the point. campaign research needs signals Google Sheets does not store - public web, LinkedIn, news, other apps. Strawberry combines Google Sheets with the browser, which is where the real value comes from.
Does Google Sheets need to be the primary CRM or system of record?
Not necessarily. Google Sheets can be one input among several. Strawberry can read it as context even if your primary system of record is somewhere else.
What permissions do I need on Google Sheets?
Read access to the surfaces you want Strawberry to use (named ranges, tabs, filters). Write permissions are only needed if you want Strawberry to update Google Sheets after a human approves the change. Native Google Sheets integration with read+write scopes.
What is the realistic success metric for campaign research?
campaign launches on time, CAC within target, and creative does not need a rewrite mid-flight - that is the target Strawberry helps you hit, not the only thing it measures.
What is the biggest mistake to avoid?
Skipping competitor analysis and rebuilding a positioning someone else already won.
Run campaign research in 10 minutes with Strawberry and Google Sheets
Open Google Sheets
Connect Google Sheets so Strawberry can read named ranges, tabs, filters, headers, cell formulas, data validation and combine them with the rest of the brief. Pin the specific records or views you want to start from so the agent does not drift.
Tell Strawberry the brief
Drop the prompt below. Replace the placeholder with the actual marketer, founder, partnership manager target - one name, one URL, or one Google Sheets reference is enough. Keep the goal explicit: gather the context needed to brief, target, and de-risk a campaign before spending budget
Let it gather signals
Strawberry pulls audience segmentation (who exactly buys this) and competitor messaging already in the space, then layers public web sources in parallel. You should see citations next to each fact - that is the audit trail. Watch the Google Sheets side: very large sheets (10k+ rows) need batching; complex formulas can be misread if cells contain HTML or markdown
Review before write-back
Output lands in the shape you asked for: A campaign brief: audience, channels, messaging hypotheses, creative refs, KPIs, risks. Read it once. Fix anything off. The success metric is campaign launches on time, CAC within target, and creative does not need a rewrite mid-flight - if the draft does not hit that bar, send it back with a one-line correction.
Save it as a routine
If you will research a campaign or partnership before it ships this again next week, click Save as routine. Pick a cadence (daily, weekly, on-trigger). Strawberry re-runs the whole flow on schedule and pings you when the new output is ready.
Paste-ready prompt for campaign research with Google Sheets
You are helping me research a campaign or partnership before it ships campaign research. Use Google Sheets as one input and the public web for the rest.
Target: [paste one marketer, founder, partnership manager target here - a Google Sheets reference, a name + company, or a URL]
Goal: gather the context needed to brief, target, and de-risk a campaign before spending budget
Signals to gather:
- audience segmentation (who exactly buys this)
- competitor messaging already in the space
- winning ad examples (Meta Ad Library, LinkedIn)
- channel-fit (does the audience even read this channel)
- creative reference library
- compliance constraints (data, privacy, claims)
Output shape: A campaign brief: audience, channels, messaging hypotheses, creative refs, KPIs, risks
Rules:
- Cite every fact with a link or a Google Sheets reference. If you cannot find a signal, say so explicitly rather than guessing.
- Do not invent specifics. Use real, dated signals from the last 90 days where possible.
- If a fact would change the outcome and is missing, pause and ask me before writing the final output.
When the output is ready, surface it in this chat. Do not write back to Google Sheets or send anything externally until I approve. Paste this into Strawberry's chat field. Replace the target placeholder before running.
When Google Sheets + Strawberry is the right combo for campaign research
Google Sheets is the structured table where a team tracks accounts, leads, candidates, tasks, or content. Strawberry can read a tab, enrich each row with web research, and write the enriched columns back in place; ideal for lead lists, candidate sourcing, and account research. For campaign research specifically, that means the agent already has named ranges, tabs, filters, headers, cell formulas, data validation as starting context - you do not need to brief it from scratch.
When it is NOT a fit
- You need a single number, not a synthesised brief. A SQL query against your warehouse is faster.
- The decision is happening in the next 60 seconds. The agent is fast but it is not instant; for hard real-time use, do it manually.
- The Google Sheets data you would feed in is stale or wrong. Garbage in, confident garbage out.
Three mistakes to avoid
- skipping competitor analysis and rebuilding a positioning someone else already won
- guessing at audience instead of pulling real segmentation
- no creative references so the team designs in a vacuum
Honest tradeoff
very large sheets (10k+ rows) need batching; complex formulas can be misread if cells contain HTML or markdown. If you are running this at scale (10+ briefs per day), batch the inputs and let Strawberry process them as a routine instead of one-by-one prompts - cheaper per brief and the output stays consistent.
What a real output looks like
Campaign: AI browser launch on Meta Ads - Nordic ICP,Audience: founders + ops leads at 10-200 person SaaS companies in SE/DK/NO,Channels: Meta Ads (primary), LinkedIn (secondary), founder LinkedIn organic,Messaging: 'The browser that does the boring work' - 3 variants,Risks: Meta still needs Business Verification stable; budget capped at €500/wk in test phase