r/MarketingAnalytics

Reporting automation for multi-channel attribution without data engineers

Our marketing team pulls from Google Ads, Meta, LinkedIn, GA4, and HubSpot every Monday. It takes a full day to stitch UTMs, clean joins, and build the exec deck. We tried Looker but our schemas change and engineering is backlogged 2 months.

I need to define KPIs once, have it pull from all sources nightly, handle name mapping, and send a clean PDF plus Slack summary at 7am. If a data source fails, alert me instead of sending a broken report. When a stakeholder asks for a new metric, I want to add it without rewriting SQL. Is anyone automating reporting end-to-end without a data team?

reddit.com

u/Cluten-morgan — 12 days ago

▲ 5 r/MarketingAnalytics

Attribution models for reddit marketing services are driving me crazy

We’ve recently started working with a partner for reddit marketing services to seed discussions in niche tech communities. The engagement is through the roof and we’re seeing a clear correlation in direct traffic spikes, but my attribution software is giving reddit zero credit for the actual conversions. It makes it nearly impossible to prove the value of the spend to my cfo. Does anyone have a better way to track the silent influence of reddit? I know it’s working because our branded search volume is up, but I need a more granular way to tie these community discussions back to the bottom line.

reddit.com

u/Fun-Engineering3451 — 14 days ago

▲ 1 r/MarketingAnalytics

Has anyone else found that "AI-native" audience tools are mostly LLMs making decisions they shouldn't be making?

Spent the last few months building an audience analysis system, and the biggest design question wasn't "where do I add AI", it was "where do I NOT let AI make decisions."

Ended up with a hard rule: LLMs handle interpretation and narrative generation, but never matching, scoring, or recommendation. Rules and deterministic algorithms handle those, with the LLM proposing inputs to deterministic decision rules rather than making the decisions itself.

Curious if anyone else has hit the same wall — where AI tools that "just work" on demos fall apart when you actually need auditable output an analyst can defend to a client. Or has anyone found AI-native approaches that genuinely hold up?

(For context: an 8-minute walkthrough video is at https://www.loom.com/share/278e4db305714400be0941e23e7b9b6d and the system is at https://mk-intel-delta.vercel.app/ if anyone wants to poke at the actual implementation. Happy to discuss the engineering decisions.)

u/Ancient-Ant-5265 — 13 days ago