Marketing analytics without the data analyst queue
You ship campaigns weekly, but the attribution report takes the analyst three days. AnalityQa AI joins your ad platforms, your CRM, and your billing data — you ask, you get the answer.
Where the day goes wrong
Attribution is reported differently in every tool
Google Ads claims the conversions. Meta claims the same conversions. Your CRM has its own first-touch source field that 30% of users skip. The same campaign shows three different ROAS numbers depending on which dashboard you open.
Cohort-based marketing analysis is rarely done
You know acquisition channels convert at different rates. You suspect they retain differently too — but proving it requires joining ad spend with retention data, which lives in a different system. The analysis gets requested every quarter and delivered every other quarter.
Campaign post-mortems take longer than the campaigns
A two-week paid push needs a recap deck the moment it ends. Pulling the data from Google Ads, the website analytics, and the CRM, then computing CAC and pipeline lift, takes a week. By the time it's done, you're already running the next campaign.
Brand vs performance attribution always devolves into argument
Your CMO wants to defend brand spend. Your CFO wants to cut what doesn't have direct attribution. Neither has the data to settle the question — so the argument repeats every budget cycle.
What you actually ask AnalityQa
Plain English in. Charts, tables, and live dashboards out.
What's our blended CAC by channel for the last 90 days, including loaded SDR and agency costs?
→ Bar chart of fully-loaded CAC per channel, with a breakdown of cost components.
Compare the 6-month retention curves for customers acquired from organic, paid search, and partner referrals.
→ Three retention curves on one chart, with a written diagnosis of where the gaps open.
Which paid keywords drove pipeline that actually converted to paying customers in Q1?
→ Ranked keyword table joined to closed-won deals from your CRM.
Build a campaign attribution dashboard that shows leads, MQLs, SQLs, and revenue by source.
→ Live dashboard with funnel + revenue layered together, refreshed daily.
Why did blended CAC spike 28% in March?
→ Investigation report breaking down the spike into cost-per-click changes, conversion rate changes, and channel mix shifts.
If we cut paid Meta spend by 40% and reallocate to outbound, what's the projected CAC impact?
→ Scenario chart with the projected ratio change and the assumptions made explicit.
How AnalityQa fits your workflow
Five capabilities — every persona uses all of them, in their own way.
Chat with your data
Ask attribution and channel-mix questions in plain English. AnalityQa AI translates them into queries against your connected ad platforms and CRM, so you don't wait on the analyst to write the SQL.
Auto data prep
Upload Google Ads, Meta, LinkedIn, HubSpot exports and AnalityQa AI auto-joins on email, customer ID, or company domain. Inconsistent UTM tags, missing source fields, and duplicate leads get flagged before they pollute your reporting.
Live shareable dashboards
Pin the campaign-attribution dashboard, the channel-mix waterfall, the LTV/CAC by source. Each refreshes automatically. Share the public URL with the CMO and the agency — no per-viewer license cost.
Investigation mode
When a campaign underperforms or CAC spikes, ask why. AnalityQa AI runs a multi-driver investigation (CPC, conversion rate, audience mix, landing page A/B) and ranks the contributors by impact.
Data-aware analyst agents
AnalityQa AI's analyst agents are aware of your channel structure and proactively surface anomalies — a creative whose CTR dropped, a campaign whose CPA crept up, a cohort whose retention diverged. You see the questions you should be asking.
What changes
Use cases relevant to your role
Marketing
Know exactly which channels are earning their budget
Marketing
Stop guessing which ads to cut and which to scale
Marketing / Finance
LTV and CAC numbers your CFO can actually trust
Marketing
Diagnose email performance without leaving your data
Marketing
Turn GSC data into ranking decisions in minutes
Marketing
Know which content drives pipeline, not just page views
Frequently asked questions
Does AnalityQa AI replace Google Analytics or our attribution platform?+
No — it complements them. Google Analytics tracks behaviour; your attribution platform handles ad-platform integrations. AnalityQa AI sits on top, joining their data with your CRM and billing system so you can ask end-to-end questions (impressions to revenue) that no single tool answers alone.
Can it pull from Google Ads, Meta, and LinkedIn directly?+
Today, AnalityQa AI works with CSV exports and direct database connections. Most teams export weekly from each platform (or use a Fivetran-style sync to a warehouse) and AnalityQa AI reads from there. Native ad-platform connectors are on the roadmap.
How does it handle UTM tag consistency issues?+
The data prep step flags inconsistent UTM patterns (different casing, typos, missing campaign tags) and proposes a normalisation. You confirm the rules and they apply across the rest of the analysis. The flagged inconsistencies are also surfaced as a one-time cleanup checklist.
Can I run multi-touch attribution models, not just last-touch?+
Yes. Tell the chat which model to use (last-touch, first-touch, linear, time-decay, position-based). AnalityQa AI applies it to your touchpoint data and shows you the model output alongside the simpler views — so you can sanity-check.
Does it help with brand vs performance allocation?+
It helps you quantify both sides. For brand, look at search-volume lift, direct traffic trend, and assisted conversions over time. For performance, look at last-touch attributed revenue. AnalityQa AI generates both views from the same data so the discussion can move from "I think" to "the numbers show".
Can the agency see the same dashboards we see?+
Yes — share the public dashboard URL. The agency opens it without an AnalityQa AI account and sees exactly what you see. You can also create a separate, restricted dashboard if you want them to see channel performance but not financial figures.