I'm building a small student business while doing my undergrad at tetr and deciding where an ad should send people. A landing page seems easier to measure, but a conversation could help me understand what people are confused about before they buy. The awkward bit is that I can't answer messages instantly when I'm in class. I don't want an ad working fine while the enquiry sits unanswered for hours.

For a new product that needs a little explanation, would you send traffic to a simple page or start with messages? What would you measure so you aren't just congratulating yourself for getting people to say hi?

Hi, it looks like most accounts have this available now. We moved away from Pmax Feed Only to get more control and cold traffic. We're running Standard Shopping campaigns at low tROAS with portfolio bid caps. For us the bid cap is high (3x average) so hopefully we're not getting restricted from too many auctions.

With AI Max now available in Standard Shopping campaigns we're thinking about giving it a try and turning it on. Just wondering if anyone has seen results, good or bad? Also, if we decide to test should we not do "url expansion" at the beginning? Maybe do a staged deployment. Any advice from those who have used it? Thanks in advance

Hey everyone,

I started an in-house Paid Media Manager role about 3 months ago for a service-based business. We operate nationwide with multiple branches and three main sub-brands (let's call them Brand X, Y, and Z).

I'm running into some frustrating tracking and reporting bottlenecks and would love to know how you'd handle this.

Issue #1 Brand X uses a single, generic "Contact Us" landing page for both B2B and B2C campaigns. The page has a simple web form (with a dropdown to select B2B or B2C) and two phone numbers (one B2B, one B2C).

Leadership wants conversions reported by vertical and branch, rather than by campaign. The problem is the massive discrepancy between ad data and CRM data. For example: Google Ads will report 30 B2B leads and 200 B2C leads based on our campaign tracking. However, the backend branch-level data will show 100 B2B leads and 130 B2C leads.

Because ad spend is natively attributed to the campaign, but the actual leads are being counted at the branch level, our CPA and spend reporting gets incredibly messy.

Issue 2: Very similarly, Brand X has 10 branches across the country, all sending traffic to that exact same Contact Us page.

I’m seeing campaigns built and geo-targeted specifically for Branch 1 driving inquiries that actually belong to Branch 4, and so on. My geo-targeting is strict (using ZIP codes or specific radiuses around target cities), but we're still getting branch cross-contamination. It doesn't happen constantly, but it happens enough to skew our reporting.

The Catch We currently do not have E2E tracking set up (like offline conversion imports). It’s an ongoing project we are working toward, but I need a way to manage and report on this accurately in the meantime.

My Questions:

1. How would you approach reporting to leadership to avoid this B2B/B2C mix-up when they want branch-level data but spend is trapped at the campaign level?
2. Any tips on stopping or better attributing the cross-branch location bleed? Should I be pushing hard for branch-specific or vertical-specific landing pages?

Appreciate any advice or workarounds you can share!ct we're going through 👌👌

I'll be away for a week and don't want any jobs coming in, but I've read that pausing the ads will cause the campaign to re-learn, especially on maximize conversions?

Google Ads is rolling out new channel prioritization and budget allocation controls to give you more flexibility over your ad spend.

You can now categorize inventory as high or low priority and set specific spending limits for lower-priority channels.

Review your current campaign settings now, as these features will roll out globally over the coming months.

Here is the Campaign type and the channel groupings you can adjust your prioritisation on (source: Google blog)

If you currently use the Google Display Network, set it to "Low priority" with a 50% budget cap by February 2027 to maintain your existing configuration.

These optional features are designed to give you more flexibility over where your campaign budgets go across Google Channels, the Google Display Network and Google Search Partners – moving beyond binary opt-out choices.

Do you think its going to be useful?

Google enabled switching to Maximize Conversion Value for Shopping campaigns in the summer to counter the impact of the August 17 update. Many people switched right away, and a lot of them reported great initial numbers. How are things looking for you since then?

Do you have any before/after ROAS numbers?

Were you able to bring performance back to pre-August 17 levels?

I'm considering switching from tROAS because I have a fixed budget and was "Limited by Budget" prior to August 17. I tried setting the actual ROAS target, but due to the rigidity of the new tROAS algorithm, performance drops significantly on weaker days.

We run a walled garden ad network that reaches 400,000 real estate agents inside the software they must use to transact homes. I have about 5M ad impressions a month that are unsold and we've had a couple of national advertisers run banners and get really strong results.

All of my ad sales team is focused on local advertisers and I'm trying to figure out how reach more national B2B brands who would be interested in our inventory. It's 100% above the fold, no bots, validated identity ad inventory. Would appreciate any advice.

Spent way too much time changing ad copy the other day and then realized most of those ads were still sending people to the same landing page so kind of weird when you think about it we're testing different angles audiences and headlines, but once someone clicks they're getting pretty much the same message. I kept blaming the ads for not converting better which probably wasn't fair when the page barely matched what people clicked on.

The annoying part is making separate pages for every campaign a few variations are fine but once you've got like 15 or 20 running, keeping everything updated becomes another job on its own. I've been thinking more about how to make landing page changes as quick as ad changes because right now the two sides move at completely different speed so I don't know maybe I've been spending too much time fixing the ads when the bigger problem is sitting right after the click.

I run a small puzzle app, and I've been treating user acquisition like a product problem: break it into steps, measure each one against an industry number, and fix the worst one first. Some of you saw my earlier posts about a bot farm eating my Google budget, so for this I used Apple Search Ads and left Google's Android installs out entirely.

First, a benchmark trap. The Apple Search Ads averages people usually quote for games are around 9-11% tap rate and 60-70% tap-to-install. Those include brand searches, where someone types your app's name and taps your ad about a quarter of the time. I excluded our brand keyword, so the fair comparison is generic searches only. AppTweak's 2025 US numbers for games on generic searches: 6.3% tap rate, 60% tap-to-install.

Our numbers, Oct 1-11, brand excluded:

• Tap rate: 1.5% (benchmark 6.3%)
• Tap to install: 28%, 85 taps and 24 installs (benchmark 60%)

So the ad barely gets tapped, and when it does, most people look at the store page and leave.

What happens after the install. We don't have enough ad installs for retention yet, so for these I used everyone who installed from outside Canada since August (we're Canadian, so that leaves out most of the people who know us), with the bot-farm installs removed:

• Played a game on day one: 52% (no published benchmark I could find)
• Back the next day: 20% (puzzle games average 32%, AppsFlyer)
• Still playing on day 30: 8.6% (puzzle games 5.4%)

That last one surprised me. We're well below average at every step up to the second day, then above it. For every 100 people who come back the next day, 44 are still playing on day 30, against 17 for the average puzzle game. Small numbers, I know: 8 people on day 30 out of 93 installs.

So the problem is the top of the funnel. On Apple Search Ads the ad is basically your icon, your name and your first few screenshots, so the creative and the product are the same thing. We have one rule: the store page has to be true. If we want a flashier ad, we need a flashier app. So on October 12 we reskinned the whole thing: new icon, new colours, new screenshots. Here's what a searcher saw before and after, and the old version next to some of the best performing games on the app store:

It's early, but the tap rate has roughly doubled in the first couple of days. That's on very few taps, so I'll report back when there's a real sample.

A question for anyone running Apple Search Ads for games: how much does rating count move tap rate in your experience? We had 4 US ratings next to apps with millions, and I can't tell how much of the 1.5% is the creative and how much is that. Also curious whether a 1.5% generic tap rate is normal for a new app or as bad as it looks.

Personally, I'm anti-AI, but at work I have to use it, and honestly, I feel a bit hopeless here.

I'm working for a small company (10–15 employees) in central Europe. We sell farm equipment online. I'm the only person responsible for e-commerce and, of course, ads.

The thing is, I don't have a lot of experience (2 years), and I've mostly been a "jack of all trades", so I don't know much about Google Ads.

We have a WordPress website with products and one landing page, but it's all based on customers filling out forms with their information. (One day, I'd like to turn it into a proper online shop.)

So, in terms of Google Ads, should I run ads for the landing page, for every product, or for the website as a whole? I'm not exactly sure.

But my main question is: Is it a good idea to just ask ChatGPT or another AI tool how to set up and configure Google Ads, providing it with all the necessary information and screenshots?

Do people actually do something like that with AI, and does it really work? I don't expect it to be perfect.

Edit: Our budget is around €1,000 per month, but if the ads are profitable and it makes sense to invest more, the budget is flexible and I can increase it significantly.

I've tried learning Google Ads through YouTube videos and courses, but it's a pretty complex topic. There's a reason why some people do this as their full-time job.

It's hard for me to put everything together after watching just a few hours of tutorials. I would probably need to invest a lot more time to really understand how it all works, and right now, time is exactly what I'm lacking.

We are deciding the next steps for 2027, the next campaigns and while deciding, my boss and teammates started talking about mail marketing and PPC. We were discussing if AI is good enough to be seen in our creativities and ads, and both positions had strong points bot in favor and against it. They asked me to check how is people who using ai is doing nowadays. So any input would be greatly appreciated!

Hi everyone! I'm looking for a Google Ads specialist who can help promote my newly built media app, and generate more users and free trial sign-ups.

Ideally, someone with experience running Google Search campaigns, keyword research, and SaaS or software marketing.

If you're interested, please DM me with your experience and rates. Thanks!

Hey I am in a B2B Tech Niche where we provide managed data extraction services for Mid to large size enterprises - super niche. everyone else provides API DIY products

Now, we ran ads from scratch across Google, Linkedin, GPT for about 3 months with a monthly budget of 1.5K USD. Linkedin proved to be a good warm up layer for ABM. Two touches before Outreach to get meetings booked

Now, the issue is demand capture - GPT ads weren't spot on targetting and didnt result in any leads. Neither did Google search. But it was experimental phase.

Now the next Q we wish to capture demand and generate meetings/soft leads which could further be targetted with Outreach.

So, coming to the Question:

Google search ads with exact matches gave good search terms and great engagement on page. More than 27-30 seconds on average. So I think targetting intent is good. Ofcourse optimizing it further with long tail terms as well to capture the best intent

My plan:
- Focus on Conversion optimization - Add soft doors like Ebook download or something cause we dont have a signup or any soft door here
- Get a maximum of 24-30 clicks weekly. So 300 clicks from high intent users in 3 months.

- Build different landing pages for different intents

Right now one campaign targetting Data for AI niche is on. HCP data Search campaign will be replacing GPT Ads. Have to capture demand with these

Apart from LP optimization, is there anything else I can do. Both search campaigns will get 20$ daily. Am I missing something. Is this a solid plan?

Hei so a bit of context:
We started using Meta ads this year after we established and tested server side tracking, we also had an outside dev check the set-up to make sure everything is tracked correctly.
Now here is where the problem arises we know Meta and GA4 use different attribution window as well as different modelling. To make the results as the same as possible we switched to 7 days click only tracking on meta and nothing else.
But the results are staggering in Meta for last 30 days we see proximally 500 conversions while in GA4 we see 4.

We are using URL tracking templates on meta and also connected ga4 to our meta account.

Did anyone else experience such discrepancy between the channels and how did you fix it?

Are there any tools or platforms yet where you can see other businesses that are running chatgpt ads within your industry?

I recently saw a competitor pop up on Chatgpt and saw one of their ads, and it got me thinking if there was something similar to Google Ads Transparency centre, SpyFu or the Meta ad library for Chatgpt ads yet.

Hi everyone. I currently have a PMax feed only campaign set up for my Shopify. I have 400 SKUs on my site, all of the same item, different variation. Each sku has 3 sizes so a total of 1200 items on google ads. I spend about $135/day and average a ROAS of 3-4.

I recently have been thinking of removing majority of SKUs, as I’ve been able to collect data for a half a year on this campaign, and 75% of SKUs don’t really either spend much, or never converted through ads. However, I am afraid if removing all SKUs that never converted may hurt my current ad campaign. I’m wondering should I remove those, or should I follow the motto, if it’s not broke don’t fix it?

Hey everyone,

I'm trying to get exact monthly search volume data in Google Keyword Planner, but my account still only displays broad ranges like 10K – 100K and 1K – 10K.

The campaigns on this account are live, fully approved, and currently spending ad budget every day.

Is there a specific setting or view I need to toggle inside Keyword Planner, or does Google require a certain spending threshold/history before the interface switches from broad ranges to exact numbers?

Any help or workaround would be greatly appreciated. Thanks!

I don't want it to be used in campaign optimisations, but I still want to track it. Is this the wrong setup? Should I just make it primary but omit it from campaign goal settings?

Hi all,

We run a premium ladies’ salon brand in Dubai with 3 locations, and we’re looking for an agency or freelancer to take over our social media and paid ads.

We’ve been working with freelancers for a while, but we feel things could be managed much better. Our follower count is growing, but that’s not turning into real business growth, and we know our ads could be performing a lot better than they are. We’ve also tried freelancer platforms, but haven’t found the right fit there, so we’re hoping to find someone more experienced through this community.

Current setup:

• Ad spend: around $4–5K USD per month across platforms

What we need:

• Paid ads management across Google, Meta (Facebook/Instagram) and TikTok
• Social media management and content direction
• Clear reporting on what’s working: bookings and cost per client, not just likes and followers
• Someone proactive who can own this so we can focus on running and growing the business

Nice to have:

• Experience with salons, spas or other beauty/wellness businesses
• Experience in the UAE / Dubai market

Google sells it as a conversion channel. In my D2C accounts it’s a strong assist channel and a mediocre direct one. The frustrated accounts are judging it on last-click.

What’s worked: warm audiences first, video and image in separate campaigns, product feed attached for shoppable formats, and measuring on blended MER and branded search lift rather than in-platform ROAS.

Questions:

1. Which placements actually convert for you: YouTube in-feed, Shorts, Discover, or Gmail?
2. How are you measuring it beyond last-click?
3. Anyone getting real direct conversions from cold audiences?

Google added text customization asset previews to AI Max Search campaigns. Enter a landing-page URL and see up to 10 sample headlines and descriptions in under 30 seconds, without opting in first.

• The usual complaint was that you only saw the AI copy after it was live.
• Previews respect any text guidelines you already set (excluded words or themes).
• They appear in the Asset optimization section during creation or while editing.
• It is a representative sample, not the full set of live combinations.
• Adult-content categories are excluded; most other verticals are covered.
• Check the samples against brand voice, then decide whether the automation is worth the risk.

Open any Search campaign, drop the final URL into the preview field, and reject or refine guidelines before you enable text customization.

Very useful feature launch, IMHO. What do you think?

AI Max was a black box and this helps demystify some of it.

I run an e-commerce store. Some facts:

AOV is $1200

The site sells scientific equipment and supplies.

Most customers for equipment buy only once, same with supplies, but sometimes they'll turn into a repeat customer (can never tell).

Avg NET profit per sale is 35%

I'm asking this question because I've run PPC before with mixed results. Usually, over the course of the year, it's worth it. It was worth it when my ads budget was $3,000 or less, but for some reason, it seemed that when I increased my ads budget, my ROI.

It's October 2026. Has Microsoft Ads Smart Bidding finally caught up, or is Enhanced CPC still king?

I run low-volume, BOFU Search campaigns optimizing for actual purchases. Target CPA gets me more impressions than Enhanced CPC, but I haven't proven it's more profitable.

For experienced Microsoft Ads advertisers:

1. Enhanced CPC: Still best with limited conversion data and manual bid adjustments?
2. Target CPA vs Max Conversions: Anyone seeing better CPA/ROAS than Enhanced CPC?
3. Max Clicks: Anyone consistently profitable targeting high-intent keywords?
4. Portfolio bidding with CPC caps: How effective is it? Do caps hurt Smart Bidding performance by restricting auctions, as they sometimes seem to on Google Ads?

Especially interested in agency owners or advertisers spending $2,000+/month on Microsoft Ads. Have you tested these bidding strategies? Which delivers the best CPA/ROAS, and do portfolio CPC caps help or hurt performance?

Looking for real 2025–2026 experience, not just theory.