How to manage a paid ads budget as DTC Brand Founders

Marketing & GrowthFor DTC Brand Founders2 apps11 steps~22 min to set up

You're running Meta, Google, and maybe TikTok ads yourself, or with one contractor, and your 'budget management' is three browser tabs, a Google Sheet with last week's numbers, and a gut feeling. You pull spend from Meta Ads Manager, manually enter it next to your Shopify revenue, and try to figure out if the ROAS you're seeing is real or just view-through attribution lying to you again. CAC is creeping and you don't know if it's creative fatigue, audience overlap, or just Q4 competition. You find out you blew past your weekly ad budget on a Thursday, after it already happened. There's no single place that shows you spend vs. revenue vs. inventory coverage together — so you're making six-figure budget decisions on stale data in a spreadsheet nobody else can read.

Marketing & GrowthFor DTC Brand Founders2 apps11 steps~22 min to set up
Outcome

What you'll set up

A unified paid ads dashboard that pulls live spend and performance data from Meta, Google, and TikTok into one place — so you stop switching tabs to know where your budget actually went this week
Automated budget guardrails and reallocation logic that pauses underperforming ad sets and surfaces your best-converting creatives before you overspend on the wrong ones
A weekly performance digest delivered to your inbox that tells you what changed, what's working, and what to cut — without you logging into three platforms to find out
The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Data sources & config

Meta Ads, Google Ads, and TikTok Ads are connected from Starch's integration catalog and queried live when your dashboard or automation runs. Shopify is connected from Starch's integration catalog so order revenue is queryable against ad spend in real time. PostHog is connected from Starch's integration catalog for traffic and conversion data that powers the Growth Analyst weekly digest. No scheduled sync on ad platforms — data is pulled live each time your app or automation runs.

Prompts to copy
Connect my Meta Ads and Google Ads accounts, then build me a dashboard that shows daily spend, ROAS, and CAC by campaign for each channel. Alert me when any ad set exceeds my weekly budget cap or drops below a 2x ROAS for three days in a row.
Every Monday morning, send me a digest that summarizes which campaigns drove the most revenue last week, which ones I should pause, and what my blended CAC was across Meta and Google. Pull in my Shopify revenue so the ROAS numbers are based on actual orders, not platform-reported conversions.
Which of my creatives had the best ROAS this week across Meta and Google, and how much of my total weekly budget did those creatives capture?
Run these in Starch → or paste them into your favorite agent
Walkthrough

Step-by-step

1 Connect Meta Ads, Google Ads, and TikTok Ads from Starch's integration catalog — takes a few minutes per platform, and the agent queries spend and performance data live whenever your dashboard or automation needs it.
2 Connect Shopify from Starch's integration catalog so your actual order revenue and conversion data are available alongside ad spend — this is what makes ROAS numbers trustworthy instead of relying on each platform's self-reported attribution.
3 Install the Ads Agent app (currently in beta — request access) and tell it your weekly or monthly budget caps per channel and your ROAS floor, for example: 'Pause any Meta ad set that spends more than $200 in a week with ROAS under 1.8.'
4 Ask Starch to build a cross-channel spend dashboard: describe the view you want in plain language, including which columns matter to you — spend, impressions, CPM, ROAS, CAC, revenue — and Starch assembles it without any drag-and-drop.
5 Set up a budget pacing automation: 'Every day at 8am, check my total spend vs. my weekly budget across Meta and Google, and Slack me if I'm on track to overspend by more than 15% before Sunday.'
6 Install Growth Analyst, connect PostHog, and configure your weekly digest so it arrives Monday morning before you check your phone — each digest surfaces signup trends, top traffic sources, and conversion rate changes so you know what the ads actually drove, not just what the ad platforms claim.
7 Ask the Ads Agent which creatives are driving the best ROAS this week, by creative name or ad set — get a real answer with numbers, not a dashboard you have to interpret yourself.
8 Build a creative fatigue tracker: 'Show me any ad creative that has run for more than 21 days and whose CTR has dropped more than 30% from its first-week average.' Use this to decide what to refresh before performance falls off a cliff.
9 Wire up a monthly budget reallocation automation: at the start of each month, Starch looks at last month's ROAS by channel and proposes a budget split — you approve or adjust before it takes effect.
10 Add Shopify inventory data to your budget guardrails: 'If my inventory for SKU X drops below 50 units, pause all campaigns driving traffic to that product page.' This stops you from spending ad dollars driving traffic to an out-of-stock page.
11 Once a week, ask Starch to generate a one-page paid acquisition summary you can paste into your board update or investor email: spend, revenue attributed, CAC, ROAS by channel, and a one-line read on what you're doing next week differently.

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

Try it on Starch →
Worked example

Week of March 10–16, 2026 — Spring launch campaign, $18k weekly ad budget

Sample numbers from a real run
Meta Ads — Prospecting (Spring creative set A)5,200
Meta Ads — Retargeting (cart abandoners)2,800
Google Ads — Brand search1,400
Google Ads — Shopping campaigns3,600
TikTok Ads — UGC creative test2,200
Total ad spend15,200
Shopify revenue attributed (Starch cross-referenced)41,000
Blended ROAS2.7

You started the week with an $18k budget. By Wednesday morning, Starch flagged that the Meta prospecting campaign was on pace to spend $7,100 by Sunday — $1,900 over its $5,200 cap — with ROAS sitting at 1.6x, below the 2x floor you'd set. The Ads Agent paused the two lowest-performing ad sets in that campaign automatically, which freed up $900 in budget that was reallocated toward the retargeting campaign, which was running 3.8x ROAS on cart abandoners. On Thursday, the Growth Analyst digest landed in your inbox: TikTok UGC creative was driving a 4.1% CTR versus Meta's 1.2%, but the TikTok sessions were converting at half the rate. Starch flagged the landing page as the likely bottleneck — the TikTok audience was hitting a page optimized for a different hook. You swapped the landing page by noon. By Sunday, blended ROAS for the week came in at 2.7x on $15,200 actual spend — $2,800 under budget because the guardrails caught the prospecting overspend early. You had the weekly summary ready to paste into your investor Slack thread in about four minutes.

Measurement

How you'll know it's working

Blended CAC across Meta, Google, and TikTok (not platform-reported — Shopify-verified)
ROAS by channel and by creative, week over week
Budget pacing: actual spend vs. weekly cap by Thursday (so you can adjust before Sunday)
Creative fatigue rate: CTR decay on any active ad creative running more than 14 days
Ad spend as a percentage of gross revenue (a number your board will ask for)
Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

Triple Whale or Northbeam
Strong attribution reporting for DTC, but read-only analytics — you still have to go into each ad platform to act on the data, and there's no automation layer that pauses campaigns or reallocates budget without you.
Meta Ads Manager + Google Ads + manual Google Sheet
Free and familiar, but your budget math is always a day behind, nothing talks to anything else, and the Sheet breaks the moment a second person touches it.
Smartly.io or AdRoll
Purpose-built for paid acquisition management, but they're priced for teams with a dedicated media buyer and don't connect to your Shopify inventory, financial data, or investor reporting in the same place.
Looker Studio (formerly Data Studio)
You can build a decent cross-channel spend dashboard with enough connector setup, but it's a static reporting tool — no AI layer, no automation, no ability to pause a campaign or send yourself a digest without building that separately.
On Starch RECOMMENDED

One platform — ads agent, growth analyst all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →
FAQ

Frequently asked questions

Does Starch actually connect to Meta Ads and Google Ads, or do I need to set up some custom integration?
Both Meta Ads and Google Ads are available from Starch's integration catalog of 3,000+ apps — you connect them directly in Starch and the agent queries them live when your dashboard or automation runs. TikTok Ads is also reachable from the catalog. No custom setup required.
The Ads Agent says it's in beta. What can I actually use today while I wait?
You can build a custom paid ads dashboard and budget-pacing automations today using Starch's natural-language app builder — connect your ad platforms from the integration catalog, connect Shopify, and describe the dashboard and alerts you want. The Ads Agent app adds an opinionated AI-driven layer on top; request beta access to get notified when it's ready.
Will ROAS numbers in Starch match what Meta or Google reports?
Starch pulls spend data from each ad platform and revenue data from Shopify separately, then lets you cross-reference them. This means you can build a Shopify-verified ROAS view that isn't inflated by each platform's self-reported attribution. The numbers will often differ from what Meta claims — that's the point.
Can Starch automatically pause a campaign if it's overspending, or does a human still have to do that?
You can set up an automation in Starch that checks spend and ROAS on a schedule and triggers a pause action through the ad platform's connection. Describe the rule in plain language — 'pause any Meta ad set that exceeds $X in spend with ROAS under Y' — and Starch builds the automation. The Ads Agent app is designed to make this even more hands-off; it's currently in beta.
Does Starch store my ad spend data historically, or is it only showing me live numbers?
Ad platform connections from Starch's integration catalog are queried live rather than stored in Starch's database. For most budget management use cases — pacing, ROAS checks, weekly summaries — live data is exactly what you need. If you want a long-horizon archive of every campaign you've ever run, Starch isn't a data warehouse, and it's worth being honest about that.
I use Klaviyo for email and SMS — can Starch factor that into the attribution picture?
Klaviyo is reachable from Starch's integration catalog, so you can query campaign performance and revenue attribution data from Klaviyo alongside your paid ad spend. Ask Starch to build a view that shows paid vs. email-attributed revenue side by side using your Shopify orders as the source of truth.
Is Starch SOC 2 certified? I'll have to answer this for a brand partnership.
Not yet — Starch is not currently SOC 2 Type II certified. If that's a hard requirement for a partnership or enterprise retailer you're working with, it's worth flagging now. It's on the roadmap.

Ready to run manage a paid ads budget on Starch?

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