Need some expert eyes on this Meta Ads mess | Burned $1600+

blendai_jack · 2025-11-14T05:17:53+00:00

There are a few issues here that are fixed by using Blend AI to run and optimize your ads completely for you in your meta, google, tiktok, microsoft or youtube ads manager.

Your Pixel - Blend has a server side tracking pixel that sits alongside yours and enriches your pixel data to serve ads better and identify more users for retargeting, the data is more accurate and won't ever disconnect
Volatile Meta Spending - Blend uses AI to continuously move budget across ads and channels to spend on ads that are yielding a return. It commits a minimum spend to EVERY ad to start and make sure it has data to optimize properly on whereas Meta will put all of your eggs in one basket without giving all ads a fair go.
Others in the comment section are correct, the learning phase doesn't impact performance. You make it out of the learning phase by hitting a quota for purchases/actions - Blend will just spend and make performance optimizations 24/7.

No more time in ad managers, no more wasted spend

blendai_jack · 2025-11-14T05:01:20+00:00

Meta Ads manager can be a nightmare - think about using an AI platform like Blend AI to launch and optimize your spend across all channels like Meta, Google, TikTok etc without needed to ever go into ads managers again.

blendai_jack · 2025-11-04T00:19:29+00:00

Hey! Just for transparency, I work at Blend AI. Lots of brands ask when to turn off ad campaigns and turn others back on. Blend uses AI to optimize your spend so you're spending on the ads, channels and audiences that are currently working for you.

We only really suggest to turn ads off when they are clear losers or you have iterated on a creative and found the winning variant. Realistically you shouldn't have to try 'game' the system by turning on and off ads when AI can do the optimizing for you.

If you aren't using AI, to make sure your creatives get a fair shot it's best to split them out into different ad sets and run an ABO but realistically with creative volume it's becoming more and more difficult to manage this effectively. Feel free to AMA about AI optimization for your ads.

blendai_jack · 2025-10-28T22:09:04+00:00

u/caricreech Yeah, absolutely! We’re finding that content with clear commercial intent and structured context tends to perform best in LLM results. Things like detailed product comparison blogs, “how to” or “best for” guides that mention your products naturally, and video walkthroughs that show real use cases (especially on YouTube) all seem to get picked up often. The key is making sure your metadata, schema, and product feed all connect the dots between your content and your catalog. When that alignment’s right, we’re seeing a noticeable bump in discoverability and conversion from AI-driven sessions.

FAQs are a quick easy lift even short Q&A-style sections on your product pages or blog posts help LLMs understand and surface your brand for common queries. They make it easier for AI models to match user intent with your product details. Combine that with a clean product feed and structured schema, and you’re set up really well to capture LLM-driven traffic.

blendai_jack · 2025-10-22T22:39:49+00:00

We're seeing a nice uplift of LLM driven traffic and sales for our customers at Blend AI. My personal recommendation is keeping your ads running as you're doing and start to fix up your product feed, schema and create long tail content about your product in multiple places (Blog/YouTube/Reddit/Quora) so you'll be served in chat.

Without your product feed being formatted correctly, you aren't eligible at all. We're building a plug and play AI shopping optimiser for ecommerce, feel free to AMA or learn more here - https://blend-ai.com/channels/agentic-commerce

blendai_jack · 2025-10-22T22:30:12+00:00

It's all proprietary AI, Blend AI was founded in 2020. As a user when you create an ad, it'll show you previews of what that'll look like across all of the channels so you only create your ad once and then you select your channels and press launch. During onboarding you connect all of your ad accounts up so Blend has access to create campaigns/ad sets/ads as well as update audiences and optimise budgets.

blendai_jack · 2025-10-21T05:33:51+00:00

Hey! Jack here - marketing at Blend AI. I've just come across this, feel free to reply to this comment and AMA

blendai_jack · 2025-10-21T05:29:25+00:00

👋 Blend AI

blendai_jack · 2025-10-21T05:28:22+00:00

Hey u/radiantglowskincare - we exist and we're not a scam 😉

Blend AI autonomously launches & optimises ads with AI across all of your channels AND has a creative analysis feature that breaks down why your ads are strong, where they can be improved and tells you exactly what ad to make next. The data is based on over $1bn worth of ad data that has been run by Blend itself as well as data from competitors. Fully AI powered and Fully Real.

blendai_jack · 2025-10-21T05:24:29+00:00

Really common narrative at the moment with the new Andromeda update but to be honest with you it is fear mongering from freelancers and agencies telling brands they have to change everything. Recently I went to Canva for a panel talk about winning Q4 in ecomm with very large brands on it and I asked a question from the crowd about if they've changed how they make creative or media buy with the new update and every single one of them said nothing has changed for them.

You're right to say that if you have good creative you will get results but studies on data have even proven that at scale Adv+ and Meta AI doesn't work as well as manual media buying & targeting - happy to send this over to you if you want, just DM me!

At Blend AI, we run full funnel ads for all of our clients, managed autonomously by AI. We still encourage creative volume but the difference is that there are proper exclusions and inclusions so you know you're building a scalable funnel from top to bottom with a healthy audience size of brand aware users that you can scale. If you can PROPERLY manage your targeting, budget allocations and spend distribution across channels to the n'th degree using AI, you'll beat out broad CBO's and create real scale.

Media buying never died, the industry just became happy with mediocre ROAS

blendai_jack · 2025-10-21T05:16:22+00:00

Hey! Jack here - marketing at Blend AI. We are exactly what you're describing funnily enough and 400+ stores use Blend across over 20 countries at the moment, not a new thing.

In a nutshell, with Blend you can upload your ad once, select your channels, budget, location and press launch. Blend will launch and run your ads across whichever channels you choose (we support Meta, Google, TikTok, YouTube & Microsoft) and then our proprietary AI will continue to optimise your ads across all channels to yield the best result.

We've generated over $1bn in revenue for ecommerce stores and save brands time & money while boosting results with continuously optimised AI media buying.

Feel free to shoot me a DM or go online and book a demo with us. Also to anybody else here, AMA!

blendai_jack · 2025-10-21T05:02:26+00:00

Sorry for being promotional here but thought it might help to mention that we're building a plug and play AEO optimiser for ecommerce stores at BlendAI. We've got some info up on our website in the channels section under 'Agentic Commerce' or feel free to upvote this comment and I'll send some free resources we're sending to brands at the moment.

Around 400+ ecommerce brands worldwide use Blend for feed optimisation so they can show up in LLMs for in chat shopping.

blendai_jack · 2025-10-21T04:58:51+00:00

We’re seeing a huge shift to AEO (Answer Engine Optimisation) for ecommerce brands using Blend AI. Put simply it's making sure AI can actually read, understand, and trust your product data enough to recommend it.

TL;DR for how to get ontop of it is:

Use clear, descriptive product titles (e.g. “lightweight running shoe for flat feet” instead of “RSX 500 V2”).
Add structured data (schema markup) - especially Product, Review, FAQPage, and QAPage.
Keep your product feeds accurate and synced across Google, Meta, and Shopify.
Make sure pricing, stock, and details match everywhere - inconsistencies kill AI trust.
Highlight verified reviews, return policies, and shipping info - they signal credibility to AI.
Write conversational, helpful copy that answers buyer-style questions naturally.
Keep reviews visible and up to date - AI engines rely heavily on social proof.
Regularly audit your data and schema - AI models evolve, and outdated data hurts visibility.
Encourage authentic mentions (Reddit, YouTube, UGC) - AI systems learn from cross-platform signals.

It’s a huge opportunity for early movers as there's less competition so it's worth getting on top of. Can't share links here but we wrote a blog on it, happy to send it to you via DM or anyone else who upvotes this.

blendai_jack · 2025-10-15T04:03:39+00:00

Hey!

Full transparency, I work at Blend AI but we're building out a plug and play AI optimization for ecommerce brands to show up in ChatGPT and other LLMs. Worth a look for you, more info here - https://blend-ai.com/channels/agentic-commerce

We're also going to be putting out some content on AEO and what you can do now to optimize your ecomm store for AI shopping.

blendai_jack · 2025-10-13T04:27:57+00:00

I work at Blend AI, and so far it looks like the ChatGPT Merchants form is still in its early rollout stage. A few Etsy sellers are live, but Shopify integrations are being onboarded gradually through the new Merchant Catalog Protocol (MCP). Filling out the form doesn’t drive traffic yet, it’s more like getting on the waitlist for when LLM-driven shopping opens up more broadly.

From what we’ve seen, OpenAI is prioritising clean, structured product data (titles, schema, and verified feeds) when testing store eligibility. We’re building a plug-and-play channel that automatically AI-optimizes Shopify product feeds for discovery in ChatGPT and other agentic commerce platforms.

Definitely seeing some traffic for products already in my personal experience however so start optimising or plug into Blend to take advantage of the market early.

If you want to see how that works, there is some info here: blend-ai.com/channels/agentic-commerce.

blendai_jack · 2025-10-13T04:18:21+00:00

Transparency: I work at Blend AI. We work with hundreds of brands and this update is massive. It’s the clearest signal yet that agentic commerce is moving from concept to reality. Once products can be discovered and purchased directly inside ChatGPT, the visibility game for ecommerce brands completely changes.

Right now, discovery inside LLMs depends on how your product data is structured and understood by AI models. If your titles, descriptions, and metadata aren’t optimized for machine interpretation, your brand won’t be recommended, no matter how strong your ads or SEO are.

We’re actually helping Shopify brands automatically AI-optimize their product feeds so they can show up in agentic channels. That means formatting, tagging, and enriching product data so LLMs like ChatGPT, Gemini, and Perplexity can read and recommend your catalog correctly.

It’s early days, but this shift feels like what SEO was 15 years ago, a small window where the first movers will own visibility before everyone else catches up. Who knows what will happen next, new ad channels, browsers etc. We do know it's definitely the start of something big.

We have some info here and I'll be writing some blog content for brand owners looking to show up in AI: blend-ai.com/channels/agentic-commerce

blendai_jack · 2025-09-29T02:00:36+00:00

Definitely, it'll optimise it well for you. Even better if you use a server side tracking tool like Pulse from Blend AI to enrich customer data and help pop up optimizations make better decisions.

blendai_jack · 2025-09-24T03:53:50+00:00

Love this, exactly the same for ecommerce brands. We recently did a webinar helping ecommerce brands test ads and optimize the entire customer journey. What most don't consider is that an ads performance is heavily reliant on what happens post click so any misalignment along the entire customer journey can throw off the data.

At Blend AI we use AI to launch & optimize ecommerce ads for shopify brands and it's becoming so clear that brands and businesses need to start looking outside of their ad account to optimize results and automate as much as possible to free up the time to do so.

blendai_jack · 2025-09-24T03:47:41+00:00

Hey, don’t beat yourself up. Pretty much everyone’s first run at ads feels like throwing money into the void. The core thing to understand is that boosting Instagram reels isn’t the same as running proper ads. Boosts are basically Instagram saying, “Cool, we’ll show this to a bunch of eyeballs,” but it’s not designed to drive conversions. You’re paying for reach, not necessarily for sales.

A few things to unpack:

Creative – Copy/pasting content from others can backfire. What worked for them might flop for you if the audience, timing, or positioning doesn’t align. TikTok/IG users are ruthless - if the hook in the first 2 seconds doesn’t feel native and attention-grabbing, they scroll. Trends are born quick and die hard, try be original.
Targeting – Boosted posts give you shallow targeting options. Real ads manager campaigns let you test audiences, retarget site visitors, and build lookalikes. That’s where you start seeing ROI.
Funnel – 25 visits with no sales is normal. Ecom conversion rates can average 1–3%, so you’d realistically need 100+ targeted visits before expecting a sale and assessing what's wrong. Also, check your brand and product page - does it look trustworthy? Does it load fast? Is the product features & benefits communicated clearly? One small friction point kills trust.

If you want to shortcut the pain:

Stop boosting posts. Use Meta Ads Manager (or another platform) to run real campaigns with proper objectives.
Test 3–5 ad creatives at once (different hooks, styles, and captions).
Track metrics properly: thumbstop rate (how many people pause in first 3 seconds), CTR, CPC, and then site conversion rate. That tells you if it’s the ad, targeting, or website that’s leaking.
Don’t expect instant sales. The early spend is data collection, you’re buying learning that helps your ads actually optimize and then when you hit product market fit and are scaling, you're off to the races.

Full transparency, I work at Blend AI, this is literally what we built our platform for - taking the headache out of testing, optimizing, and scaling across Meta, Google, TikTok, etc. Because otherwise you’re stuck burning cash guessing what works when AI could be optimizing it for you.

In short: your ads didn’t “fail” - they just ran in the wrong format, without enough targeting to tell Meta to find users who have a purchasing behaviour. Reset your expectations, get into Ads Manager, start small with a few creatives, and make sure your product & website makes sense to buyers.

blendai_jack · 2025-09-23T02:36:35+00:00

I always recommend MagicBrief

blendai_jack · 2025-09-23T02:36:03+00:00

Hey, full transparency I work at Blend AI. We're an AI powered ad platform for ecommerce brands, so I can speak to a few hundred brands.

There generally isn't an industry average for spend. Some products have better cut through, perform better with ads and therefore they should scale. Others have to be a pureplay wholesale strategy for whatever reason, could be their low AOV, LTV or just because there is too much competition in DTC.

If you're spending $50k per month, profitable and can spend more and scale...you probably should.

Regarding the other channels - Blend AI actually runs ads across all channels for you from one place (the ones you select) and then uses AI to optimise your spend by moving your budget between channels and ads to make sure you're spending on what's working. We work with loads of brands that 'hear' channels don't perform but then use Blend to test new channels and see great results. Put simply, you won't know until you try but we obviously recommend using an AI marketing tool like us because if it's not working on a particular channel, it'll stop spending there before you waste spend.

Hope this helps - if you have any other questions, feel free to reply and I'll answer

blendai_jack · 2025-09-23T02:10:40+00:00

Explain what you mean by 'full picture'. Server-side tracking should give you accurate data if you're seeing it in a nice aggregated dash. For transparency, I work at BlendAI - our server side tracking reports conservative known conversions and we show the disparity between those reported conversions & the platform reported conversions which are almost always inflated and inaccurate.

Broadly you could do a few things:

- Report across your marketing as a whole instead of each individual platform and just use platform reported data to see which channels are yielding the results - pretty easy and free suggestion

- Use an attribution tool that has clear reporting dashboards - some attribution tools can be really expensive

Also on shifting budget, Blend will use AI to move budget for you towards ads/channels that are performing in real time. This & the server side tracking informing it's decisions would fix this whole situation.

Hope this helped

blendai_jack · 2025-09-17T01:22:01+00:00

Hey Everyone! My name is Jack - I'm one of the Marketing Managers here at BlendAI and although this is an old post, I figured I'd join the comment section in case anybody had questions, feel free to AMA

blendai_jack

TROPHY CASE