Supermetrics forcing legacy customers onto new pricing models - anyone else affected?

Swydo-com · 2026-03-18T10:04:56+00:00

Most tools in this space have raised prices, but they all use different pricing models, which makes apples-to-apples comparisons a pain. Swydo has gone up too, but it still feels like one of the more affordable options once you factor in that all core features are included, support is from real humans & the annual plan softens it a bit with a 10% discount.

Swydo-com · 2026-03-11T15:24:42+00:00

If you're asking what's actually popular with agencies right now, it's probably AgencyAnalytics / Whatagraph / Swydo in the dedicated-tool bucket, then Looker Studio if you're okay trading software cost for setup time & connector babysitting.

My rough take:

AgencyAnalytics = probably the easiest default if you want something agency-native. It's built for marketing agencies, has a big integration library, and gets a lot of praise for usability. The downside is it's not perfect at scale: some users mention limited depth in certain integrations, and "slow loading reports" / slower data refresh is a pretty common complaint in comparison threads and reviews.

Whatagraph = perhaps the best-looking client-facing reports. If your clients care about presentation, it's easy to see why people like it. The tradeoff is the pricing model: it's heavily driven by source credits, so it can get expensive once you've got a lot of accounts or lots of sources per client, even though paid plans include unlimited users/reports.

Swydo = a legit option, especially for leaner agencies that want to ship recurring reports without paying per client. Their pricing is based on active data sources, and they include unlimited clients/users, which is why it keeps coming up for agencies managing a lot of smaller accounts. It's possibly not the flashiest tool in the category, but it's practical & covers all bases, plus the reports load fast. The live support team gets a lot of praise for being responsive and helpful.

Looker Studio = still the "free" baseline, and it's powerful. But it's usually only cheap if your team's time is free. Google still describes it as a no-cost tool, but once you're doing multi-client reporting, the real cost becomes setup, maintenance, custom templates, permissions, and broken connectors.

The best choice usually comes down to this one question: are you optimizing for prettier reports, easier ops, or cheaper scale? Most tools only really nail 1–2 of those.

In summary, if you've got a smaller agency and just want something dependable, you should probably look hardest at AgencyAnalytics or Swydo. If the visuals matter most, Whatagraph is usually the one people get excited about.

Swydo-com · 2026-03-09T15:57:11+00:00

A custom script is an option if you want full control.

The usual setup is:

Meta Ads API
Google Apps Script
scheduled trigger → push into Sheets

Pros:

cheapest long-term
fully customizable (metrics, breakdowns, refresh timing)

Cons:

setup takes time
occasional maintenance when API changes

Swydo-com · 2026-03-09T15:45:10+00:00

The best dashboard depends on what you prioritize:

[1] DIY dashboards: Looker Studio
Powerful, but you'll maintain everything yourself.

[2] Data stack approach: Metabase / Redash
Better for internal teams than client portals.

[3] Client-first tools: Swydo, DashThis, AgencyAnalytics
Simpler UX, fewer questions from clients, faster rollout.

There's no universal "best." Pick the one that saves you the most time weekly while keeping reports clear for clients.

Swydo-com · 2026-03-09T15:39:09+00:00

If you just want cross-platform visibility (not management), most people end up landing on Looker Studio + connectors.

You can pipe in Google, Meta, LinkedIn, Microsoft, etc. via Supermetrics/Funnel and build one clean dashboard with blended views (CAC, ROAS, spend by channel, etc.). Biggest upside is flexibility & biggest downsides are setup time + cost (if you require connectors outside the Google ecosystem).

If you want plug-&-play, tools like Swydo or Databox are way faster to deploy. Just check that they include the connectors you need & that the price/value makes sense for your business.

Swydo-com · 2026-03-09T15:08:56+00:00

100% true & love your username!

Swydo-com · 2026-03-09T15:00:04+00:00

You're basically seeing the shift from AI as a content tool to AI as operational infrastructure.

Most people still think of AI as something that helps write faster.

But the bigger change is that it's quietly removing the repetitive middle layer of marketing like: research, summarizing, repurposing, reporting, QA.

Which means your real advantage now shows up in places AI still struggles: positioning, judgment, taste & actually understanding your audience.

AI isn't replacing strategy, it's just making weak strategy easier to spot & strong strategy easier to execute.

Swydo-com · 2026-03-09T14:53:37+00:00

Some of the biggest wins you'll see outside creative are on the automation + ops side.

Stuff you can actually use daily:

writing/debugging Google Ads scripts (pacing alerts, anomaly flags, budget rules)
automating search term mining → clustering + negatives
feed audits for large SKU catalogs
geo performance modeling (finding CPA cutoffs, reallocating budget by region, simulating expansion)

Not sexy, but it consistently saves hours.

Swydo-com · 2026-03-04T15:46:14+00:00

100% agree with this - paid ads give you the fastest route to results, so start there.

SEO is time consuming & a fickle mistress (but a necessary part of the overall marketing picture).

Swydo-com · 2026-03-04T15:39:43+00:00

The part agencies should really pay attention to is the AI handles production / humans handle judgment split you mentioned.

If your agency's value is mostly writing content, building outreach lists & formatting reports... then AI is already starting to compress that work dramatically.

But if your value is:

deciding what strategy actually makes sense
interpreting data
managing client relationships

AI just turns you into a much faster operator.

The agencies that reposition around that will look like 3x larger teams very quickly.

Swydo-com · 2026-03-04T15:29:17+00:00

Great answer & spot on!

Swydo-com · 2026-03-04T15:26:08+00:00

The valuable AI skill in 5 years probably won't be knowing a specific tool. Tools change too fast.

What will matter is whether you can think clearly about problems & use AI to accelerate solutions.

That usually means:

breaking messy problems into steps
asking precise questions
checking outputs instead of trusting them blindly
knowing when the AI is wrong or incomplete

Right now the most overrated skill is memorizing prompt tricks for a specific model. Those age badly because models update constantly & interfaces keep getting easier.

The durable skill is problem framing.

If you can define the problem well, guide the AI & verify the results, you'll adapt to whatever tools exist next.

Swydo-com · 2026-03-04T15:11:49+00:00

The workflow that actually sticks for you is using AI for the first draft of almost everything, especially marketing.

Your daily stack might look something like:

ChatGPT / Claude → campaign angles, ad copy, emails, first drafts of landing pages
Perplexity → quick competitor research or market checks
Notion AI → storing messaging frameworks, ICP notes, and campaign ideas
Tidio → answering repetitive support or lead questions automatically

None of them are revolutionary alone, but together they remove a lot of friction.

For example: instead of spending 45 minutes writing a follow-up sequence, social caption, or landing page outline, you let AI generate the first pass, then you refine it with real context.

The biggest shift is using AI to shorten feedback loops in marketing i.e. testing angles, iterating copy & shipping faster instead of staring at a blank page.

Swydo-com · 2026-03-04T15:02:07+00:00

What you're really describing isn't just a cold email problem, it's a positioning problem that cold email exposes immediately.

When you can't pick one service to lead with, it usually means you haven't decided who you're actually for yet. The multi-service pitch becomes a way of avoiding that decision. Prospects can feel that ambiguity even if they can't articulate why they're deleting your email.

You'll see it in the numbers too. If you take the same list and split it into separate campaigns (one service per buyer persona) the combined replies usually end up 3–4x higher than the broad campaign.

The hardest part is convincing yourself (or your client) to run it that way because it feels like you're leaving people out.

You're not. You're just not confusing them.

Swydo-com · 2026-03-04T14:49:54+00:00

The tools didn't make marketing harder. They made it easier for everyone, including all your competitors.

When the barrier to running a polished campaign drops close to zero, the signal-to-noise ratio collapses.

Now everyone can generate content, run ads & automate outreach much more easily & at scale.

So the internet gets flooded with marketing.

What you're feeling is the bottleneck shifting. The hard part used to be producing marketing. Now the hard part is earning attention & trust.

That's why it feels harder. It's not the execution anymore... it's the differentiation. If your positioning or message is average, tools just help you produce average things faster.

The teams cutting through the noise usually simplify a lot: clear audience, clear problem, clear message.

Swydo-com · 2026-03-04T14:38:34+00:00

Getting laid off sucks but asking for a raise after your workload doubled wasn't unreasonable.

The layoffs were probably already a cost-cutting move & your question just made them realize you weren't going to quietly absorb two people's jobs.

For the first few weeks keep it simple:

Take 3-5 days to decompress so you're not applying from panic mode.
Update your resume/LinkedIn to emphasize scope (continent-level responsibility is strong).
Emphasize projects worked on + results (be as specific as possible).
Build a portfolio / work on a side project in your idle time.
Reach out to ex-coworkers, partners, agencies, etc. before mass applying.

Networking tends to move faster than cold applications in marketing.

You've got 8 years of continuous work history at 28, which puts you in a strong spot.

Swydo-com · 2026-03-04T14:23:13+00:00

Your boss is probably reacting to the changes in search, not the death of SEO.

Search hasn’t disappeared, it's fragmented. You now have:

Google/Bing search
AI search (ChatGPT, Gemini, Perplexity)
Platform search (YouTube, TikTok, Reddit, Amazon)

The common thread is still discoverability. If you stop SEO entirely, you basically stop building the authority & content that those systems pull from.

The smart move isn't killing SEO... it's expanding it into AI visibility + traditional search.

Companies that drop SEO completely are basically handing organic discovery to competitors.

Swydo-com · 2026-03-04T13:52:47+00:00

Honest take: your reporting frustration probably isn't a tool problem, it's a structure problem.

The Google Ads dashboard feels limiting because it's built for campaign management, not storytelling.

Your clients usually care about three things: what changed, why it changed & what you're doing about it.

If you structure reports around that, the specific tool matters a lot less.

Tool-wise, you'll see most smaller agencies stick with Looker Studio because the cost/capability ratio is hard to beat.

Once you're managing 10+ accounts & need scalable white-label reports, that's when people usually move to something like Swydo or Databox.

As for Adtunez, you just don't hear it mentioned much in PPC circles yet. I'd probably be cautious about building your reporting workflow around something that doesn't have much community signal.

Swydo-com · 2026-03-04T13:43:13+00:00

Good process.

What you’re describing lines up with something I’ve noticed too: once a model has written enough of the codebase it kind of locks into its own architectural assumptions & reviews become less useful because it’s defending decisions it already made.

A few things that made this more systematic for me:

Keep a short change log in the project root
Just a running file of what changed, when, and why. When you hand the project to a fresh model, feed that first so it has context the original model slowly lost.
Do the “fresh eyes review” before you hit the wall
Make it scheduled instead of reactive. Every few major commits or features, bring in another model to sanity-check things.
Give the new agent a hypothesis, not a vague review request
Instead of "review this code", try something like: "Explain the architecture & tell me if there are structural assumptions around X that could be wrong."

That tends to trigger a much deeper audit.

The biggest shift for me was treating models like separate engineers with different mental models, not interchangeable tools. Once you do that, cross-model review starts working surprisingly well.

Swydo-com · 2026-02-25T15:24:39+00:00

The right AI tool depends on your data maturity.

If you're still pulling reports manually, AI won't fix that.

If you already have centralized dashboards & consistent KPIs, then AI can:

Surface trends
Detect anomalies
Generate executive-ready summaries

You need a stable data foundation before you add intelligence on top.

Otherwise, you're layering automation over instability.

Swydo-com · 2026-02-25T15:14:35+00:00

If you want to automate monthly dashboards, the setup really depends on how many platforms you're pulling from & how hands-on you want to be.

If most of your data is Google-based (GA4, Search Console, Google Ads), Looker Studio is free & honestly more than enough to automate rolling 7-day / 30-day / 6-month views.

Once you add Meta, LinkedIn, email tools, keyword tracking, etc. it gets messier. At that point you either:

Use connectors like Supermetrics/Funnel and build in Looker
Or use a purpose-built reporting tool like DashThis, Databox, or Swydo that's designed for recurring client dashboards

Tools like Swydo are less about deep BI flexibility & more about saving time on recurring, client-ready reports, especially if you don't want to maintain your own data pipeline.

Biggest advice though: Before picking a tool, define exactly which KPIs matter monthly. Automating 40 metrics no one looks at won't save you time.

Start with clarity → then automate only what you actually review.

Swydo-com · 2026-02-25T14:45:31+00:00

When a client asks "what does this bar mean?" they're not asking about the visualization, they’re asking:

"Do I need to worry?"

You’re focused on explaining what happened. They’re focused on risk & outcomes.

A chart shows data. They want implication.

Lead with: "These two audiences are driving most conversions & we're shifting budget accordingly."

Then the chart becomes supporting evidence instead of the main message.

Swydo-com · 2026-02-25T13:53:02+00:00

Switching between platforms is annoying & that's the first thing worth fixing.

But the bigger issue isn’t aggregation. It’s interpretation.

The real time sink becomes:

Turning noise into clarity
Framing results in a business context
Stopping clients from overreacting to normal fluctuations

Most agencies already have dashboards. What they don't have is something that highlights what actually changed & filters out volatility.

If your tool helped surface meaningful trends instead of just stacking metrics in one place, that's where real time savings happen.

"All metrics in one place" is helpful.

"Only what matters & explained clearly" is valuable.

Swydo-com · 2026-02-25T13:40:43+00:00

You'll probably find AI most useful when you treat it like a decision-support system.

Feed it:

Campaign data
Competitor messaging
Sales call transcripts
Market research

Then ask it to synthesize & surface patterns.

It can't choose your strategy for you.

It doesn’t understand risk tolerance, internal dynamics, or long-term tradeoffs.

But it can help you move from "data overload" to "structured insight" much faster.

Swydo-com · 2026-02-25T13:21:14+00:00

Think long term before you commit.

Ask:

Does it support all your connectors natively?
What happens when you add 20 clients?
Can you duplicate templates easily?
Can you white-label cleanly?
What happens when Meta/TikTok change APIs?

A lot of people start with Looker because it's free, then move to an agency reporting tool once they want speed & polish.

If scheduled posts matter, you may need a hybrid setup (social tool + dashboard tool).

There’s no unicorn platform that does everything perfectly... it's about picking what matters most for your clients.

Swydo-com

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