Stop guessing why ROAS shifted. Ask Ally for attribution-grade answers in seconds.
An always-on DTC marketing analyst. Open Ally and last week’s top channels and biggest movers are already loaded. Ask follow-ups in plain English — Ally auto-picks the right analysis skill and answers with real Shopify orders, not platform self-report.
Safe by default — Shopify and ad accounts stay read-only
What makes Ally different from a generic AI assistant
Open it, see what changed
The home page auto-loads top channels and biggest movers from the last 7 days, before you ask a single question.
Ask in plain English
No SQL, no Looker. Type a question and Ally auto-routes it to one of 8 specialized analysis skills — attribution, funnel, budget, channel deep dives.
Grounded in real Shopify orders
Every answer cites first-party Shopify attribution, not platform self-report. Real ncROAS, real nc-CAC, real margin.
Shows the math, not just the verdict
Inline tool cards show which data was queried. Every recommendation comes with $-impact and the assumptions behind it.
Insights load before you ask
Open Ally on Monday morning — no clicks, no queries. The top 3 channels of the last 7 days and the biggest mover are already on screen. Looks fine? Close it. Looks off? Tap Ask Ally and Ally drills in.
Auto-load, cached daily
One run per workspace per day. Returns in milliseconds on re-open — no credit burn, no waiting.
LLM turns data into business plain English
A heuristic picks the numbers, an LLM rewrites them into language like "Google Ads led with 20.1 orders, 97% ahead of #2 Facebook."
Every card has an Ask Ally button
See Agentic Shopping up 59% WoW? One tap on Ask Ally jumps to chat with the context already loaded.
Platform self-report ≠ real Shopify orders. Ally sits on the order side.
When you add up what 4 ad platforms claim, the total is bigger than what Shopify actually saw — every DTC media buyer knows this. Ally answers from Attribuly’s first-party attribution, so "who actually won" and "where is the overclaim" finally have honest answers.
What Meta says
- "$42,100 revenue, 3.0x ROAS last month"
- Based on Meta’s own view-through + click windows
- Can’t tell new customers vs returning
- Can’t explain Email / Direct double-counting
What Ally tells you (first-party)
- "Attribuly attributes only $24,300 to Meta — a 42% gap"
- $17,800 was also claimed by Email, Direct, Organic
- "Real Meta ROAS is 1.7x, not 3.0x"
- Action: cut Meta 20-30% for a week, fix Email exclusion list
Start with one of four categories — one click sends it to Ally
Not sure where to start? The Ally home page surfaces four prompt categories every DTC operator hits weekly. Click any example to autosend — Ally routes it to the right analysis skill.
Check performance
- How did we do last week?
- Compare new-customer efficiency across Meta and Google.
Diagnose a problem
- Why is Meta ROAS down?
- Which channel looks off recently?
Optimize budget
- How should I allocate next month’s budget?
- Which campaigns should I pause?
Funnel & landing pages
- Where are users dropping off most?
- Which landing page converts best?
Click any line → jump to the chat → Ally starts streaming an answer.
Skill · marketing-performance — last week, channel by channel
Skill · landing-page-analysis — which pages convert profit, which burn it
Diagnose · which channel looks most off — and the root cause
Skill · spend-optimization — this week’s budget moves with $-impact
8 analysis skills — live today, auto-routed
You don’t need to know there are 8. Ask a question and Ally’s router picks 1–2 fitting skills, wires the right Attribuly data into the LLM context, and answers.
Marketing performance
“How did we do last week?”
One pass across every channel — spend, revenue, ROAS, CAC, orders — with WoW + MoM deltas and the top mover called out.
Attribution discrepancy
“How much of Meta’s claim is real revenue?”
Compares platform self-report to Attribuly attribution. Quantifies the gap, names which channels are double-claiming, and recommends a fix.
Audience optimization (ncROAS)
“My ROAS is 4x but new customers aren’t growing — why?”
Splits ROAS into new-customer ROAS vs returning-customer ROAS by channel, surfaces nc-CAC, flags channels that mostly re-sell to existing buyers.
Spend optimization
“Where should I shift budget this week?”
Reads 90 days of ROAS, nc-CAC, and IS-lost-to-budget. Returns concrete $-moves: pause X, scale Y +$800, cap Z — with the math.
Funnel analysis
“Where are users dropping off most?”
Impression → Click → ATC → Checkout → Purchase, with WoW deltas at every step. Names the biggest drop and the likely cause.
Landing page analysis
“Which landing page converts best?”
Ranks landing pages by CR and revenue for paid traffic. Flags traffic-rich but conversion-poor pages and recommends redirects.
Meta ads deep dive
“Why did Meta ROAS drop last week?”
Drills into Meta by campaign / ad set / creative. Pinpoints which level is hurting and overlays CTR, CPM, CR, nc-CAC trends.
Google ads deep dive
“Should I increase Brand Search budget?”
Pulls Google campaign + keyword data with a focus on Impression Share lost to budget. Identifies underspent winners with upside math.
Next Monday morning, let Ally answer "what actually happened last week"
Once Shopify and your ad platforms are connected, Ally starts answering on real Shopify orders — eight skills already live and auto-routed. Open the home page and ask one question.