u/Fit_Wheel5471

[Tenant US-CA] Need help with initial payment.

Ill be brief:
our rent is $4300

The landlord asked for the following as first payment:
1st month
last month
and security deposit

we paid $12900 just to move in.

Lived here for about 6 days.

Landlord is registered as an LTD

What can I do legally?

City : Beverly Hills

reddit.com
u/Fit_Wheel5471 — 1 day ago

Free Audit

Hey everyone, I’ve been in the digital marketing field for a few years now, and recently started getting deeper into digital neuromarketing and creative analysis.

I’m currently offering a few free audits for Ecom/Fashion brands running ads or struggling with their current marketing. I’ll take a look at your offer, creatives, landing page, and overall funnel, then give you a clear breakdown of what I think is working, what’s likely hurting performance, and what I’d test next.

No pitch or obligation - I’m mainly doing this to sharpen my analysis process and get more real-world feedback across different niches.

If you’re interested, comment below or send me a message with what you’re currently running.

reddit.com
u/Fit_Wheel5471 — 3 days ago

Reviving Ad Accounts

Hey Everyone!

I've been in digital marketing for a few years now, and very frequently - I get asked to take over the ad account from a previous agency/media buyer.

There's a few very weird things I started noticing:
1: Ad account complexity - 99% of the time when I do an audit on the past campaign structure, the main thing that catches my eyes is how OVER ENGINEERED campaigns can get. Just recently I took on a new client, looked over their ad account, and honestly couldn't stop laughing. $2000/month ad budget, and the media buyer was running an extremely targeted CBO with 3 ad sets, and 20 creatives in the campaign.

Here's what I did to battle that - for their new drop, I set up a simple 1 ad set 3 ads campaign with Broad targeting and minimal age recommendations. This is of course after I also audited the creative direction, and ran a Neuro analysis on past performers, and why/how the videos performed so we can have consistency and real scalability, not just guessing.

2: pixel is never set up.. This is genuinely a big issue because the pixel is among the most important components of the ad account, not having that set up properly is just charity to facebook.

3: No clear creative direction/guidance.

As a marketer, my main job isn't actually running ads, that's probably the easiest part. My main job is to identify patterns, and guide the said client or brand in the right direction.

I always do a complete creative audit, and give my client the direct recommendations backed with Neuro Analytical Data, Literal Side by side's of the performers vs non performers, why/how's and many more points.

4: Laziness - this is probably one of the most important ones.

Yes, we all understand you may have different clients, and a lot of work, but if you sign with a client, and promise that something is going to be up at a certain time - it NEEDS to be up at that CERTAIN time.

Great example : "Please launch sales campaign 2 weeks prior to the drop" - "ok"

Proceeds to launch the campaign 4 days before the drop..

Anyways boys and girls, please be respectful, professional, and confident in your work.

People aren't paying you "$800+/m" to just "run their ads". You can hire freelancers off fiverr that do it 10x cheaper, as a one time set up.

And one last thing - the data that your ad account collects can be used in many many many ways to run Prediction analysis, and custom software that unlocks a whole new level of insights on audience, etc.. Heh

reddit.com
u/Fit_Wheel5471 — 4 days ago

Stop over engineering meta campaigns!

Hey everyone,

I feel like a lot of people are still overcomplicating Meta campaigns way too much.

Too many campaigns, too many ad sets, too many interests, too many “funnel stages,” and then people wonder why the account has no clear data.

In my opinion, Meta has gotten a lot better at finding the right people if the offer and creative are actually strong.

For most local businesses, I’d rather start simple:

1 campaign
1 ad set
Broad targeting
2-4 strong creatives
Clear offer
Simple follow-up system

Then judge based on real outcomes, not just CTR or CPM.

The biggest wins usually come from the creative angle, the offer, and the sales process - not from stacking 15 interest groups and trying to outsmart the algorithm.

Obviously every business is different, but I think most people would get better results by simplifying their structure and spending more time on the actual message.

Curious what everyone else is seeing right now.

Are you still using detailed targeting, or mostly going broad?

reddit.com
u/Fit_Wheel5471 — 6 days ago

Hey everyone,

I’m working on a research project exploring whether certain patterns in brain activity can be correlated with ad performance.

I’m looking to connect with digital marketers who have experience running paid ads, especially on Meta, TikTok, Google, or similar platforms.

This is not a sales post. I’m mainly looking to ask a few questions, learn from people who run ads regularly, and understand what performance signals marketers usually care about.

The project is for determining winning ad creatives, website layouts, audio, CTA, and copy, before any ad budget is spent

reddit.com
u/Fit_Wheel5471 — 10 days ago
▲ 5 r/Rag

I’m building a fully local RAG system for law firms and could use some model recommendations.

Hard constraint: the whole system needs to run locally on machines with around 8GB unified memory. No cloud fallback, no external API calls, no telemetry. The use case is legal document Q&A where answers need to be grounded in uploaded matter documents with citations/provenance.

Current setup:

  • Local RAG pipeline
  • Matter-scoped retrieval
  • PDF ingestion/chunking
  • Local embeddings + vector DB
  • Local LLM generation
  • Currently using Gemma 2 9B quantized

The model is usable, but I’m trying to see if there’s a smaller model that gives better or more reliable answer quality for this kind of workflow.

What matters most:

  • Strong instruction following
  • Good synthesis over retrieved chunks
  • Low hallucination when context is insufficient
  • Ability to say “not enough support in the documents”
  • Citation-friendly answers
  • Stable output formatting
  • Fits comfortably in 8GB unified memory after accounting for context/KV cache

I’m less worried about general chat ability and more focused on document-grounded legal Q&A.

Models I’m considering testing:

  • Qwen3 4B / 8B
  • Phi-4-mini-instruct
  • Gemma 3 / Gemma 4 smaller variants
  • SmolLM3 3B
  • Any legal/domain-tuned small models if they’re actually good locally

For people running production-ish local RAG:
Would you stick with Gemma 2 9B, or is there a newer/smaller model that performs better for grounded document QA under tight memory constraints?

reddit.com
u/Fit_Wheel5471 — 15 days ago

Building Local AI for law firms.

Was wondering if anyone knows of any Accelerators, or legal specific funds, I've done some research and found maybe 2-3 real ones.

Any feedback is appreciated, if you have any questions - feel free to ask

reddit.com
u/Fit_Wheel5471 — 16 days ago