AI Ads Manager for Ecommerce

Built around ROAS, not clicks

Ecommerce ad management starts and ends with ROAS: every decision AdsGuru proposes for a store is framed as revenue against spend, per campaign, against the target you set. Clicks, CTR and CPC are diagnostics along the way; the proposals themselves speak the language of the P&L. You set a ROAS floor per campaign (prospecting can run lower than retargeting, launches lower than evergreen), and budget flows daily toward what clears its floor.

That framing matters because ecommerce accounts fail in a specific way: a campaign that looks busy, with cheap clicks and good CTR, quietly returning 1.4 on an account that needs 2.5 to make margin. A click-oriented tool calls that campaign healthy. A ROAS-oriented manager proposes cutting it, and shows the revenue math.

Who it is for

AdsGuru fits stores where the founder or a small team runs the ads and the ads decide the month.

• Shopify and other DTC stores spending $5k to $500k/month across Google and Meta without a dedicated buyer per network.
• Stores leaving an agency whose retainer bought a monthly deck; what DTC brands use to run ads maps the usual setups by spend level.
• Catalog-heavy stores where Shopping, PMax and Advantage+ do the targeting and the real work is pacing, feed hygiene and knowing which products deserve budget.
• Small-budget stores starting out, for whom the honest playbook is in Meta ads for a Shopify store on a small budget.

What it manages for a store, job by job

AdsGuru runs the recurring ecommerce jobs on both networks: tracking verification, pacing, product-level hygiene, fatigue rotation and promo-aware budgeting.

Tracking audit before anything else

On day one AdsGuru verifies that purchase events arrive correctly on both networks, with values, before it optimizes anything, because optimizing on broken tracking is how budgets burn. If Meta purchases disagree with Google purchases beyond the normal attribution gap, or values stop flowing after a theme update, that is the first thing it reports, and judgment proposals hold until tracking is confirmed.

Google Shopping and Performance Max

Daily pacing against ROAS per campaign, listing-group hygiene so new products are not lumped under one bid, search-terms cleanup on what PMax and Shopping actually bought, and feed error monitoring, since a disapproved product group can silently remove your bestsellers from the auction. Reporting for stores is covered in Google Ads reporting for ecommerce.

Meta: Advantage+ and catalog campaigns

Advantage+ and manual catalog campaigns read against the same ROAS floors: budget shifts toward what clears them, pauses proposed for what runs under them beyond the volatility window, creative-fatigue rotation from your uploaded variants when frequency climbs and CTR falls. Learning-phase status is checked before every structural edit.

Season and promo awareness

You tell AdsGuru the sale dates and it adjusts: pacing loosens into the promo instead of throttling the spike as an anomaly, and the post-promo cooldown is read as expected rather than flagged as collapse. Without this, automation treats Black Friday as a malfunction.

The daily note a store owner actually reads

Revenue, spend, blended ROAS, what changed and why, in plain language, daily. The question it is built to answer fast is the store owner's morning question: did we make money yesterday, and did anything change that I should know about?

How the approval loop works for a store

Every change is proposed with the revenue math attached and applied only after you approve it; autopilot is opt-in per routine with caps.

1. The daily scan reads both networks against your ROAS floors and pacing plan.
2. Proposals arrive with store-language reasons: this campaign returned 1.6 on $840 this week against a 2.2 floor; pause and shift budget to the campaign returning 3.1.
3. You approve from the queue; changes apply over the APIs within minutes and land in the change log.
4. Hygiene routines (feed alerts, negatives, threshold pauses) typically graduate to autopilot in week two or three; budget moves stay gated as long as you like.

An example week for a store

Here is an example week, with illustrative numbers, for a store doing about $60k/month in revenue on $18k of ad spend. A composite to show the rhythm, not a case study.

1. Monday. PMax paced 130% over the weekend at 1.9 ROAS against a 2.4 floor. Throttle proposed and approved; the freed budget flagged for the retargeting campaign running at 4.2.
2. Tuesday. Feed monitor catches 14 products disapproved after a price-format change in the feed. Flagged urgent with the fix described; your developer repairs the feed by noon.
3. Wednesday. Weekly search-terms pass on Shopping proposes 11 negatives, mostly freebie and DIY queries. Approved in bulk.
4. Thursday. Advantage+ creative fatigue: top ad crossed frequency 4, CTR down 23% in two weeks. Rotation proposed from the variant shelf. Approved.
5. Friday. Weekly note: revenue, spend, blended ROAS by network, four applied changes with early effects, and a reminder that the summer-sale dates you entered start Monday, so pacing will loosen.
6. Weekend. Autopilot pauses one catalog ad set that fell through its floor; Sunday's note explains it with the numbers.

Margin math: setting ROAS floors that protect profit

The ROAS floor is the one number that decides whether automation helps or hurts a store, and it comes from margin arithmetic you can do on a napkin. Break-even ROAS is 1 divided by blended margin after product cost, shipping, payment fees and returns: a store keeping 35 cents of each revenue dollar breaks even at 2.86, so a floor of 2.9 means ads that merely tread water get cut, and anything 3.5 and above deserves more budget. Encode the real number, because a flattering floor makes every automated decision flattering and wrong.

Floors should differ by job. Prospecting buys future customers and can run below blended break-even if you know repeat rates; retargeting and brand defense should clear it comfortably; a launch campaign gets an explicit grace window instead of a polite fiction. AdsGuru applies whichever floor each campaign carries, proposes against them consistently, and flags when months of results suggest a floor has drifted from reality. The math it will never do for you is the margin itself: inventory costs and return rates live in your books, and ten minutes with them is the highest-leverage setup step in the product.

The first 14 days for a store

A store's first two weeks follow a set sequence: tracking first, hygiene second, judgment third. Day one is the tracking audit, and a meaningful share of stores find a real problem: purchase values missing on one network, duplicate events inflating Meta, a conversion action silently broken since a theme update. Fixing that is unglamorous and worth more than any optimization that month.

Days two through seven run the hygiene backlog: feed errors, Shopping negatives, campaigns pacing against nothing, ads below any defensible floor. Days eight through fourteen bring the judgment layer online as data accumulates: budget proposals citing stable ROAS gaps, the first fatigue rotations, pacing that has learned the store's weekly rhythm. By day fourteen most stores put feed alerts, negatives and threshold pauses on autopilot and keep budget moves gated until the log has earned it. Low-volume stores should expect the arc to run slower: thin conversion data widens every evaluation window, and patience beats proposals made from noise.

Honest limits for ecommerce

The limits that matter most to stores, stated up front.

• Tracking must work. AdsGuru verifies it and tells you what is broken, but fixing pixels, server events and feed plumbing happens on your store. It manages ads; it does not edit your Shopify theme. See connecting Shopify for what the integration reads.
• It does not make creative. Product shots, UGC and video come from you; the tool rotates, ranks and retires them.
• 7 to 14 days of data before budget judgment carries full weight, and longer for low-volume stores, because ROAS on thin conversions is noisy. AdsGuru launched in 2026 and says this in the product.
• Margins are yours to encode. It optimizes to the ROAS floors you set; if those floors do not reflect your real margin, no tool can save the math.
• Google and Meta only. No TikTok Shop, no Amazon Ads.

AdsGuru vs other ecommerce ads tools

Ecommerce ads tools divide into managers, Meta suites and rule engines, and for a store the pricing model matters doubly, because spend-scaled fees climb exactly in Q4 when your spend does. Prices checked November 2026 on each vendor's public pricing page.

The Q4 point deserves one number: on Birch's published tiers, a store that grows from $10K to $75K of monthly spend moves from $99 to $499/month in tool cost. AdsGuru is $89 at both. Head-to-head pages live in the comparison hub.

How to start

Starting takes about ten minutes, and the tracking audit lands the same day.

1. Connect your ad accounts. Google Ads and Meta ads connect read-write over the official APIs in about two minutes.
2. Get the first audit. AdsGuru scans every campaign and returns a prioritized list of what is wasting money and what to scale.
3. Approve changes. Each proposed change comes with the reason and the expected effect; nothing is applied until you approve it.
4. Turn on autopilot when you trust it. Daily routines like pausing losers, negative keywords and budget shifts can run on their own, inside limits you set.

For stores the first week is mostly hygiene: tracking confirmation, feed issues, negatives, obvious waste. Budget judgment warms up as data accumulates. Trial is 7 days, full product; see pricing.

Pricing for stores

AdsGuru is $89/month flat whatever your ad spend, which is the pricing model stores should insist on: the fee does not spike in Q4, does not punish growth, and covers both networks together. Agencies managing multiple stores pay $279/month total on the Agency plan. Full details on the pricing page.

Put against store economics, the subscription is a rounding error with leverage: one prevented week of a losing ad set, one caught feed disapproval on a bestseller, or one fatigue rotation made on time typically covers months of the fee.

Common questions

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