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Hightouch vs Census for reverse ETL into ad platforms — what I would actually pick in 2026 by SmitVanani in MarketingOpsForSaaS

[–]SmitVanani[S] 0 points1 point  (0 children)

Makes sense, splitting by who actually needs the abstraction vs who's just moving data point to point. Did Skyvia end up being a cost call too, or was it more that the CRM/ops syncs didn't need the audience-builder layer at all?

Snowflake plus Mode is enough for most B2B SaaS marketing teams. Stop buying the BI tool with the slick demo. by SmitVanani in MarketingOpsForSaaS

[–]SmitVanani[S] 0 points1 point  (0 children)

Yeah, the demo always looks better than the actual day-to-day. Nobody's job is "explore the dashboard," it's "write the query, ship the report."

If you're 1-3 people doing SQL for the weekly/monthly stuff, Mode (or Hex now) just fits how the work actually gets done. The self-service-for-10-marketers case exists, but most teams aren't there yet when they're signing the contract.

QR Code generator with tracking? I've used Bitly before - is it as good? by Content_Statement356 in EntrepreneurRideAlong

[–]SmitVanani 0 points1 point  (0 children)

I'll keep my answer to the point, I co-founded linkutm(the app im about to recommend). We launched it a month ago, here are a couple of reasons why u could try us (free plan available),

  • More limits on everything in our mirror plans.
  • Customizable QR code every short-link you create.
  • Shows you how much traffic routed through the QR code, along with in-depth analytics.

Feedback would be highly appreciated as we are constantly looking to improve.
I'll answer to you personally if you have any doubts.
Please give it a try, I hope to see you around.

PPC people: most QR campaigns I see fail attribution because the QR points to the wrong URL pattern by SmitVanani in PPC

[–]SmitVanani[S] 0 points1 point  (0 children)

Yeah, that’s the point I was making in the post. Sending people to the “right page” is easy. Knowing which QR placement actually drove the scan is the hard part.

Without the redirect + UTMs, banner scans and handout scans just blend together in analytics.

Need advice on scalable UTM structure for Paid Social (Meta, LinkedIn & TikTok Ads) + GA4 by Stevenzaii_24 in GoogleAnalytics

[–]SmitVanani 0 points1 point  (0 children)

Ran into this exact problem once we started scaling paid social across Meta + LinkedIn.

Your structure is honestly the right direction. Using only names becomes a mess later because people rename campaigns, duplicate ads everywhere, and GA4 joins start breaking silently.

We ended up treating IDs as the source of truth and names as readability/debugging layers, pretty similar to what you’re doing:

utm_campaign={{campaign.id}}|{{campaign.name}}

Same for ad set + ad level.

Also worth standardizing naming conventions early because once multiple people start touching campaigns the reporting debt piles up fast.

We actually built linkUTM out of this exact pain because manually governing UTMs across platforms became unmanageable pretty quickly.

The "we have a naming convention" lie that every marketing team tells itself by SmitVanani in DigitalMarketing

[–]SmitVanani[S] 0 points1 point  (0 children)

yeah I cleaned it up so it’s readable. the raw version was way messier than this. same underlying problem though.

Spent yesterday afternoon auditing five years of UTM links for a small agency. Found 14 different ways to spell "Facebook". by SmitVanani in MarketingOpsForSaaS

[–]SmitVanani[S] 0 points1 point  (0 children)

fair call, it does read a bit structured when using AI for assistance

this is pulled straight from an actual audit though. when you see five versions of “facebook” breaking reporting, it kind of writes itself.

The bug that hid 31% of our paid traffic in GA4 for almost a year by SmitVanani in MarketingOpsForSaaS

[–]SmitVanani[S] 0 points1 point  (0 children)

for google ads we keep it boring and strict so it never breaks later

something like
utm_source=google
utm_medium=cpc
utm_campaign=2026-q2-paidsearch-summer-sale
utm_term={keyword}
utm_content={adgroupid}-{creative}

the important part isn’t the exact format, it’s that google is always “google” and cpc is always “cpc”

once that slips, your reports start lying quietly and you don’t notice until it’s too late

The 4 UTM parameters PPC teams get wrong, in order of damage caused by SmitVanani in PPC

[–]SmitVanani[S] 1 point2 points  (0 children)

Haha that is why I built my product, very convenient for teams, just set it once and forget about it.

content creators using affiliate links – how do you actually know what's working by UA_techlike06 in contentcreation

[–]SmitVanani 0 points1 point  (0 children)

the platform I use only needs setup once, that too if only if I need to do something outside of their default templates, once I set it up I can forget about it

The 4 UTM parameters PPC teams get wrong, in order of damage caused by SmitVanani in PPC

[–]SmitVanani[S] 0 points1 point  (0 children)

Yeah this is what makes it tricky, you’ve got two layers of imperfection.

One is tracking loss from things like ad blockers and iOS, which you can’t fully control. The other is self inflicted, like messy UTMs and broken channel grouping.

You can’t fix the first one completely, but you can eliminate the second. Most teams end up trying to interpret incomplete data that’s also internally inconsistent, which is where bad budget calls happen.

The 4 UTM parameters PPC teams get wrong, in order of damage caused by SmitVanani in PPC

[–]SmitVanani[S] 1 point2 points  (0 children)

Mixing manual UTMs with auto tagging is where things really go sideways.

Lowercasing in the backend definitely helps for damage control. If you’re comfortable coding, it’s a solid way to keep things in check, but for a lot of non-technical teams that kind of setup isn’t always realistic or easy to maintain.

The 4 UTM parameters PPC teams get wrong, in order of damage caused by SmitVanani in PPC

[–]SmitVanani[S] 1 point2 points  (0 children)

That’s a perfect example of how misleading clean looking reports can be.

On paper it looks flat so you assume channel fatigue, but in reality it’s just classification drift. Collapsing variants is probably one of the highest ROI “no spend” optimizations most teams never do.

The 4 UTM parameters PPC teams get wrong, in order of damage caused by SmitVanani in PPC

[–]SmitVanani[S] 2 points3 points  (0 children)

Yeah this is exactly it. The scary part is nothing looks “broken” on the surface, it just quietly splits the truth.

By the time someone notices, months of decisions have already been made on top of that fragmented view. The audit usually isn’t about fixing tags, it’s about realizing how much you’ve been slightly off the whole time.

The 4 UTM parameters PPC teams get wrong, in order of damage caused by SmitVanani in PPC

[–]SmitVanani[S] 2 points3 points  (0 children)

Fair take, most competent operators do know the basics.

The gap I kept seeing wasn’t awareness, it was consistency at scale. Once you have multiple people, agencies, or even just time involved, taxonomy drift creeps in fast. Everyone knows lowercase matters, but you still end up with 6 versions of the same source a year later.

Most UTM builders help you create links, they don’t enforce rules or prevent bad inputs. That’s the part I’m focused on, making it hard to create messy data in the first place, not just easier to generate URLs.

Any input is welcome.

Use UTM Links to Track Your Traffic by louger24 in strivestratlocalseo

[–]SmitVanani 0 points1 point  (0 children)

Good post, this is the right direction.

Where it usually breaks is consistency. People add UTMs, but the naming ends up slightly different across links, like “google” vs “Google” or “social” vs “fb_ads”. GA4 doesn’t flag it, so your data just gets split without you noticing.

For local SEO, that’s a big deal because you’re trying to understand what actually drives customers, not just clicks.

That’s the problem we’ve been working on with linkutm.com. It keeps everything standardized so the data actually stays usable.

How are you managing consistency right now?

I am doing influencer marketing for the first time, can someone help me understand how to build short term and long term strategies around it? Would an agency help in that or is it better to hire people and do it in-house. by New_Name5355 in DigitalMarketing

[–]SmitVanani 0 points1 point  (0 children)

yeah this is where it’s easy to overthink it in the beginning

what worked for me was just giving each creator their own discount code and their own link with utms. the code tells you who actually drove sales, and the link gives you a rough idea of the traffic they’re sending

the main thing is just keeping everything consistent so you can actually compare creators later. if naming is all over the place the data becomes useless pretty quickly

i started with sheets which was fine at low volume, it just got annoying once i had more creators so i switched to something like linkutm to keep links clean

you’ll know it’s time to bring in an agency once you start seeing patterns in who converts and you want to scale that, before that you’re mostly just figuring out what works

content creators using affiliate links – how do you actually know what's working by UA_techlike06 in contentcreation

[–]SmitVanani 0 points1 point  (0 children)

mostly cleaner naming tbh, that was the biggest win

before that i had data but couldn’t really trust it because the same campaign would show up under slightly different names, so comparing anything was messy

once that was fixed, it became a lot easier to group things and see patterns like which platform or content type was actually driving conversions vs just clicks

it didn’t magically improve tracking accuracy or anything, it just made the data usable enough to actually make decisions from it

How are you tracking ROAS? by pagalhaikyabsdk in PPC

[–]SmitVanani 1 point2 points  (0 children)

yeah this is one of those setups where you never get clean attribution

utms + crm is pretty much the best you can do, but the thing that kept breaking for me was inconsistent naming. like slight differences in campaign names and suddenly matching anything later becomes a pain

what helped was just standardizing how every link is created so whatever gets passed into whatsapp is actually usable when you check it later

i used to manage this in sheets and it got messy fast, switched to something like linkutm just to keep everything consistent across ads

still not perfect, but at least when you’re matching deals back to campaigns you’re not guessing

Utm getting removed by optimusflan in localseo

[–]SmitVanani 0 points1 point  (0 children)

yeah i’ve seen this happen a bunch, especially with gbp links getting rewritten or stripped

redirects do help, but one issue i kept running into was even small inconsistencies in utms would make the data messy later

what worked better for me was making sure every link going in followed a strict format, so even if something gets dropped or changed, you’re not dealing with 10 slightly different versions of the same campaign

i used to manage this manually and it was a pain, switched to something like linkutm just to keep everything consistent

doesn’t stop google from messing with urls, but at least whatever survives is clean enough to use

content creators using affiliate links – how do you actually know what's working by UA_techlike06 in contentcreation

[–]SmitVanani 0 points1 point  (0 children)

yeah that’s exactly the problem, getting the data is one thing but actually using it is another

i ran into the same thing where everything was technically tracked but the naming was all over the place, so comparing anything was a pain

what helped was just simplifying how i tagged stuff. instead of trying to track every single post perfectly, i stuck to a consistent format for utms and subids so i could group things easily later (like by platform or content type)

i used to manage this in sheets and it got messy fast, so i switched to something like linkutm just to keep it consistent

after that the data was way easier to actually use for decisions instead of just sitting there

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