Which lead sources open accounts worth having
Ads already joins spend to Shopify revenue as three separated truths — what the platform reports, what Comver attributes to real orders, and total revenue — across 15 measured sources, LinkedIn among them. Its B2B twin will change what the join lands on: not the order that followed the click, but the account it opened and everything that account has bought since. Ads is in Beta for DTC; the account bridge is on the roadmap.
- Roadmap product — no date announced
- Three revenue truths, never blended
- Wasted spend is rule-based, not an AI guess
AI B2B Commerce Ads · Lead sources
Every measurable path into the catalog, ranked by account revenue · last 30 days
Platform-reported revenue
$38,300
What LinkedIn and Google claim
Comver-attributed account revenue
$32,000
Orders on the accounts those touchpoints reached · gap −16%
Total account revenue
$148,200
Blended MER · 15 measured sources
Estimated wasted spend
$3,840
Rule-based, not an AI guess
Overlapping rules are not double-counted.
Scale a stable winner by 15%
LinkedIn · Distributor programme — 4.2× on account revenue in the selected period; cost per opened account stayed inside the 8% stability band for seven days.
Illustrative roadmap interface — not a B2B measurement.
15
Measured traffic sources today
LinkedIn already among them, beside Google Ads and Organic, Direct, Email, Bing, referrals — and ChatGPT and Perplexity
3
Revenue truths, kept apart
Platform-reported · Comver-attributed · total revenue — never blended into one number
4
Guardrails behind wasted spend
Below target ROAS, above the cost guardrail, spend without purchases, fatigued creatives — overlaps never double-counted
0–100
Traffic quality per source
Green from 70, amber from 50, red below — with conversion, order value and bounce beside it
These figures describe Ads as it ships today, in Beta, for Shopify DTC stores. Account-level attribution is on the roadmap — nothing here is a B2B measurement or screenshot.
Three revenue truths, clearly separated
Ad platforms report the conversion value they claim. Comver counts the Shopify orders that actually followed a paid touchpoint inside the attribution window. And the store has one total. Most dashboards blend those into a single ROAS; Ads shows all three side by side and prints the gap. For wholesale the second truth gets longer: an account opened by a LinkedIn campaign keeps buying, so the honest question is what that account has produced, not what its first order was worth.
- Platform-reported revenue — conversion value divided by platform spend gives platform ROAS
- Comver-attributed revenue — orders tied to paid touchpoints, and for B2B the account those touchpoints opened
- Total revenue — the store total divided by all spend gives blended efficiency; the platform-to-Comver gap is printed, not hidden
Attribution bridge
Three revenue truths, clearly separated
Conversion value the platforms report
Shopify orders tied to paid touchpoints inside the window
Every Shopify order, paid or not
Platform → Comver gap
−21%
Over-claiming, visible at a glance
Blended MER
6.9×
All Shopify revenue ÷ ad spend
Paid source efficiency
Comver ROAS per platform against the portfolio line
Fifteen paths into the catalog, ranked by what they produced
Paid is only part of the picture. Every path a buyer takes into your store is measured — paid search and social, organic search, referral partners, owned email, direct and AI discovery from ChatGPT and Perplexity — each with sessions, revenue and share, conversion rate, average order value, bounce, a 0–100 quality score, a trend and a status. LinkedIn is already in that list. The B2B twin adds the account dimension: how many accounts a source opened, and what those accounts have bought since.
- Direct and assisted revenue per source — a source can influence a purchase order even when it is not the final click
- Planned account measures: accounts opened, first-order value, revenue since, and how many became reordering accounts
- Referral partners and distributor sites are ordinary referral sources today; they would gain the same account view
Traffic source command center
See where profitable demand really starts
Paid, organic, owned, referral and AI discovery traffic measured against Shopify revenue.
Shopify revenue
$148,200
Meta Ads selected
Comver Copilot · Meta Ads
Scaling opportunityStrong scale potential, with one broad campaign wasting budget.
Revenue
$24,600
16.6% share
Sessions
18,420
13.9% share
Conversion
2.4%
AOV $58
Traffic quality
74 / 100
Bounce 41%
Wasted spend is rule-based, not an AI guess
Comver puts a number on the budget you should protect — and shows the arithmetic. Four deterministic guardrails run across every paid source: spend below the target return, spend above the acquisition-cost guardrail, spend that produced nothing, and spend still attached to creatives whose fatigue score has crossed the line. Where rules overlap, the spend is counted once. For accounts the second guardrail becomes cost per opened account rather than cost per order.
- Four transparent guardrails, with overlaps not double-counted and the totals recomputed on demand
- The disclosure travels with every result: numeric recommendations are calculated from deterministic rules; the language is explanatory only
- The Copilot surfaces the same figure as “budget to protect” and explains it in words — the number itself never comes from a language model
Estimated wasted spend
$3,840
Rule-based, not an AI guess
Last 8 periods · 18% of paid spend
Spend below target ROAS, above target CAC, without purchases, or attached to fatigued creatives. Overlapping rules are not double-counted.
Budget to protect
Transparent rule-based estimateProposed to you, never decided for you
Every recommendation follows the same evidence chain — source → traffic quality → commercial outcome → action → impact — and arrives as a card with a diagnosis, evidence lines, the recommended action, the estimated revenue or protected spend and a confidence score. Open the review to see the current value, the proposed change and the confidence, edit the proposed value if you disagree, and confirm. The decision is written to the audit log and stays in decision history.
- Current value → proposed change → confidence, plus an expected-impact box that names its assumption
- Edit the proposal: a 15% budget step can become 10%, a pause can become a reduction
- Every write action to a platform carries an explicit confirmation state; nothing is auto-optimised behind your back
Stop inefficient spend and protect CAC
Fourteen days of spend without a matching Shopify order pattern; CAC sits well above the guardrail while the retargeting campaign is under-funded.
Evidence
- 1.3× Comver ROAS — below the 2.5× threshold
- CAC $71 versus the guardrail
- PDP conversion trails the blended store rate
Recommended action
Pause the campaign and move the recoverable budget to the strongest retargeting campaign.
Comver decision review
Edit proposed change
01
Current value
Active
02
Proposed change
Paused
03
Confidence
88%
Edited proposed value
Expected business impact
Fourteen-day budget protection at a 20% step. Estimated protected spend: $1,060.
From connection to the first protected dollar
- 1
Connect the platforms
Link your ad accounts from Manage connections. Credentials stay server-side and connection state is shown per platform, never averaged into one light. Connectors are rolling out with the Beta — until then the workspace says “No ad platforms connected” rather than showing a placeholder number.
- 2
Set the lens
Choose the date range, market and source once; the filters follow you across every tab.
- 3
Comver reads and joins
Spend, impressions, clicks and platform-reported revenue are read through one adapter per platform and joined to Shopify orders and sessions — and, for B2B, to the account those orders belong to.
- 4
Decide, then measure
Approve, edit or dismiss each recommendation. The decision goes to the audit log; the deltas and source trends track what happened next.
Never a number Comver has not measured
Ads is the agent where over-claiming is easiest, so the product is deliberately strict about it — and the B2B twin inherits every rule.
3
Truths that are never blended
Platform-reported, Comver-attributed and total revenue stay in separate columns, with the gap printed
0
Demo numbers outside demo mode
A store with no connected platform sees an empty state, not a placeholder dataset
≈
Every impact figure is an estimate
Expected revenue and protected spend are directional and name the assumption they were built on
Ads is in Beta today: live figures appear only once an ad platform is connected for your store, recommendations are deterministic rules rather than model output, and creative generation is not part of the workspace. Account-level attribution is a roadmap addition on top of that beta.
Frequently asked questions
No. Ads ships today, in Beta, joining spend to Shopify order revenue across 15 measured traffic sources — LinkedIn included. Joining a lead source to an account and everything that account has bought since is on the roadmap, and depends on the company model Comver does not have yet.
Meta Ads, Google Ads and TikTok Ads, each through its own typed adapter behind one unified data layer, with connection status reported per platform and credentials held server-side. LinkedIn is measured as a traffic source today; a LinkedIn Ads spend connector would be part of the B2B work.
Comver keeps three numbers separate: platform-reported revenue, Comver-attributed revenue from orders tied to paid touchpoints inside the attribution window, and total revenue. The attribution bridge shows all three and prints the platform-to-Comver gap, so over-claiming is visible at a glance.
No. Fifteen sources are measured — paid search and social alongside organic search, direct, owned email, referrals and AI discovery sources such as ChatGPT and Perplexity — each with sessions, revenue, share, conversion rate, order value, bounce, a 0–100 quality score, a trend and a status.
It is a rule-based estimate, not a model’s opinion: spend below the target return, above the acquisition-cost guardrail, spend without purchases, and spend attached to fatigued creatives — with overlapping rules counted once. The Copilot explains it in words; the number itself comes from deterministic rules.
No. Every recommendation is proposed with a diagnosis, evidence, current versus proposed value, estimated impact and a confidence score. You approve, edit or dismiss; every decision is written to the audit log and every write action to a platform carries an explicit confirmation state.
Ads is in Beta. The workspace, the three-truths model, traffic-source intelligence, the rule-based recommendation engine and the audit trail are built; live figures appear once your ad accounts are connected. Comver never substitutes demo numbers outside an explicitly labelled demo mode.
All of Ads, including the LinkedIn traffic-source view, on any Shopify store. What is missing until AI B2B Commerce arrives is the account layer — the ability to say which source opened an account and what that account has produced since.
Keep exploring
Find out where profitable demand really starts
Read the three revenue truths on your storefront today, then join the B2B waitlist and help decide what an account-level attribution view should count first.
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