After months of building, AdPlus is ready for beta — one dashboard for every ad network (15 spots open)
I've been running ads for clients and my own projects for years. The thing that always drove me crazy wasn't the strategy — it was the overhead.
Ten platforms. Ten logins. Ten dashboards. Google has 200+ settings per campaign. Meta redesigns Ads Manager every six months. TikTok has completely different creative specs. LinkedIn uses different terminology than everyone else.
Most founders I know either give up on multi-platform advertising entirely, or they pick one network (usually Meta or Google) and hope for the best. That's a lot of potential customers left on the table.
So I built AdPlus.
What it does: You describe your campaign goal in plain English. The AI builds a complete strategy — which platforms to use, how to split budget, what targeting to run, what creative to make. You review it, approve it, and AdPlus deploys to up to 10 networks simultaneously using your connected ad accounts.
One dashboard. Real campaigns. No agency required.
Currently supported: Google, Meta, TikTok, LinkedIn, Amazon, Microsoft/Bing, Reddit, Pinterest, Snapchat, and Spotify.
Where we are: We've been heads-down building for four months. The core workflow is solid — campaign planning, creative generation (copy, images, video, even audio for Spotify), multi-network deployment, and a unified reporting dashboard.
We have 63 people on the waitlist and more coming in every day. Today we're opening 15 beta spots.
Who we're looking for specifically:
Solo digital marketers managing multiple clients or channels
Entrepreneurs who are doing everything themselves and need ads to actually work without consuming their week
Small agencies (1–5 people) running campaigns across multiple networks for clients
If you're a 10-person brand team with a dedicated ads person, you're probably not our best fit right now. We want the people who are wearing five hats and need a force multiplier.
What beta testers get:
Free access before public launch
A 1-on-1 walkthrough with me personally
Direct input on what we build next
What we ask in return: Honest feedback. And a monthly 30-minute Google Meet to tell us what's working, what's broken, and what you wish it could do. We're not looking for passive users — we want people who will tell us when something is bad.
Grab one of the 15 spots: getadplus.com
We're also doing a Product Hunt launch in a few weeks — follow along here: [link]
One question for the IH community: if you're running ads right now, which platform gives you the most headaches and why? Genuinely curious what we should prioritize.
Update — shipped all 6 of @dailo 's recommendations in 48 hours
dailo's feedback on this thread was too good to sit on. Here's what changed on the homepage since Wednesday:
1. Hero narrowed to the buyer, not the product. "Plan, launch, and manage campaigns across Google, Meta, TikTok, and 7 more networks — without living in Ads Manager all day. Built for founders and operators who do their own ads."
2. Dashboard labeled as sample data. No more trust ambiguity — it now says "Sample campaign data" underneath.
3. Networks split into two tiers. "Most popular" (Google, Meta, LinkedIn) up front, everything else under "Also supported" — visually deprioritized so 12 networks doesn't feel unbelievable.
4. One CTA, one motion. "Join the Beta" everywhere. Killed the trial language that was competing with the beta framing.
5. Real product screenshots added. New "See it in action" section with actual screenshots from a live beta campaign — connections page, AI creative generation, unified metrics dashboard. Not mockups.
6. Subhead rewritten with dailo's suggestion. "Plan, launch, and review multi-network campaigns without living in Ads Manager all day."
Still working on the 60-second founder demo (that's next). But wanted to share this now — the IH community's feedback is genuinely shaping the product and the positioning. More to come.
If anyone has reactions to the updated page — https://getadplus.com — I'm all ears. Still have a few beta spots open.
This resonates a lot. The real pain in ads today isn’t running campaigns, it’s managing the fragmentation across platforms. One unified layer to handle setup + reporting could remove a huge amount of operational friction.
consomida — spot on, and the fragmentation runs deeper than most people realize going in. It's not just 10 logins. It's 10 different creative spec requirements, 10 different pixel/conversion setups, 10 different definitions of a "conversion," and 10 different ways each platform spins its own reporting. "One dashboard" undersells it — the real unlock is removing operational drag across setup, creative, and reporting so you can actually think about strategy instead of tooling.
Are you running ads for your own product or for clients? Happy to grab you one of the remaining beta spots if you're in — https://getadplus.com. Free access, quick walkthrough, direct input on what we build
next.
The ‘10 dashboards’ problem is painfully real — most people don’t fail at ads because of strategy, they just burn out managing the overhead.
The cross-platform orchestration piece is strong, but I’m curious — how are you seeing users validate which campaigns actually drive real ROI vs just spreading budget thinner across channels? That decision layer feels like where most people still struggle.
I’ve been noticing some solo marketers run small, high-intent experiments (fixed low entry, capped participation, strong upside) alongside tools like this to quickly test what actually converts before scaling spend — surprisingly effective for early traction.
Feels like that could complement AdPlus really well, especially for your ICP. Have you explored something like that?
Tokyolore — good question on ROI validation. Today we surface normalized cross-network metrics (CPC, CPA, ROAS) in a single view, so you're comparing channels apples-to-apples instead of trying to reconcile each platform's self-reported version of the same conversion. We're not doing full data-driven multi-touch attribution yet — that's on the roadmap — but the unified view is already enough for most users to see which channel is genuinely moving the needle versus which is just absorbing budget.
On the "small high-intent tests before scaling" approach — yes, that's a sound principle and most of our beta users do exactly that, just inside the ad platforms themselves (start with $200–500/day on one network, scale what converts, kill what doesn't). AdPlus is built around that workflow — you can launch a small test across 2–3 networks in one go and see where to double down from the reports.
If you're running paid campaigns yourself, I'd love to grab one of the beta spots for you — free access, a walkthrough, and your input goes directly into what we build next. https://getadplus.com if you're up for it. Curious what you're running ads for these days?
This resonates a lot. The real pain in ads today isn’t the platforms themselves, it’s the fragmentation and constant context switching. One unified layer over all networks feels like a very real need.
hani1808 — appreciate you saying that. Context switching is the real tax, and it's invisible until you've lived it for a few months. Every platform thinks it's the only one you use, so each one optimizes for owning your whole day.
Curious if you're running ads across multiple channels right now, or mostly on one? If you'd be up for it, I'd love to grab one of the remaining beta spots for you — free access, a walkthrough, and your input goes directly into what we build next. Details at https://getadplus.com.
This is one of the better “AI ads copilot” pitches I’ve seen on IH, but I think the homepage is still making buyers do too much belief work.
A few concrete things I’d tighten:
1. The hero is broad (“every ad network / one dashboard”), but the best-fit buyer in your post is much narrower: a founder/operator wearing 5 hats. I’d say that above the fold.
2. The dashboard numbers ($12,483 spend, 4.2x ROAS, etc.) look like demo data, but they’re presented like proof. That creates trust drag fast. I’d either label them as sample data or replace with one real beta result / teardown / walkthrough.
3. “12 networks” is impressive, but it also makes the product feel less believable. You may convert better by anchoring on the 2–3 networks your target user already cares about first, then mentioning the rest lower on the page.
4. The IH post says “15 beta spots open,” but the site says “14-day Pro trial / no credit card.” That’s two different motions. I’d pick one primary CTA for cold traffic so people know whether this is beta onboarding or self-serve signup.
5. I’d add one ugly-but-convincing proof block: exact workflow screenshot, campaign draft before/after, or a 60-second founder demo. Right now the page explains well, but it doesn’t *prove* enough.
6. Minor copy thing: “Your AI media buyer” is clean, but a subhead like “Plan, launch, and review multi-network campaigns without living in Ads Manager all day” would be more concrete.
If it helps, I did a sharper conversion teardown here too: https://roastmysite.io/go.php?src=external_manual_ih_adplus_apr16_usd_presell_hv
dailo, this is exactly the kind of feedback I was hoping the IH community would give — genuinely appreciate you taking the time to go this deep.
You're right on all six points, and I'll be honest: #4 has been bugging me too. The IH post and the homepage are telling two different stories and I need to pick one lane. Leaning toward leading with the beta framing everywhere for now and holding the trial CTA for post-launch cold traffic.
On #2 — those numbers are from a real campaign but I haven't been clear about that. Adding a label and a teardown is on my list this week.
On #5 — a 60-second workflow demo is something I've been putting off. No more excuses.
I'd love to have you in the beta if you're running any paid campaigns — free access, 1-on-1 walkthrough with me, and direct input on what we build next. Happy to grab a spot for you on the website https://getadplus.com if you're interested.
yeah this hits -running ads isn’t even the hard part, it’s jumping between platforms, trying to make sense of different metrics and dashboards, and still not knowing what actually worked. How are you thinking about attribution across channels? that’s usually where it gets messy
Tomi, you just described the exact problem that made me build this. The switching isn't the hard part — it's that every platform has its own definition of a conversion, its own attribution window, and its own way of taking credit for the same sale. You can do everything right and still have no idea what actually moved the needle.
Here's how we're approaching it: AdPlus pulls reporting from all connected networks into a single view with normalized metrics — so you're comparing apples to apples instead of deciphering each platform's spin. We're not doing full data-driven multi-touch attribution yet (that's on the roadmap), but we surface the cross-network picture clearly enough that you can make smarter budget decisions without a BI team.
It's one of the things I'd genuinely love your feedback on as we build it out. If you're running campaigns across multiple channels, I'd like to get you into the beta — free access, a walkthrough with me personally, and your input goes directly into what we prioritize. Grab a spot at https://getadplus.com if you're up for it.
makes sense -even with a unified view, someone still has to decide what actually caused the result. Feels like that’s the hardest part to solve, not just the data itself
Tomi — 100% right, and it's a distinction most tools (and most founders) gloss over. There are genuinely two different problems:
1. Data consolidation — "show me everything in one view with consistent definitions." This is a hard engineering problem but a solved one. We do this today.
2. Causal attribution — "which ad dollar actually caused this conversion." This is unsolved at the SMB scale. iOS privacy, cross-device complexity, conversion lag, and every walled garden claiming full credit for the same sale — most cross-channel "attribution" at our level is educated guessing dressed up in a dashboard.
My honest take: nobody has truly cracked #2 for SMBs. Enterprise platforms throw a BI team and a modeling budget at it. At SMB scale, the realistic win is: (a) normalize what the networks report, (b) surface obvious signal (when channel X has 40x better CPA than channel Y, that's real), (c) pair with incrementality tests and post-purchase surveys for ground truth on the channels worth scaling. We do (a) today, are actively building (b) and (c).
This is the most interesting open problem in the product to me. If you're open to it, I'd love to grab 20 minutes with you specifically to talk through how you'd want attribution to work — you're clearly
thinking about this carefully and your input would shape what we build more than another generic beta walkthrough would. Reply here or reach me at elie@getadplus.com.
this is a really interesting direction, i’ve been thinking about this more from the decision side —not just what the data says, but what teams actually trust enough to act on. One thing I keep seeing is that even with a unified view, people hesitate because nothing feels reliable enough to make a call, so they either over-test or just go with gut anyway
happy to share thoughts here as well —curious what you’re trying to figure out most right now
Honestly, exactly what you just named.
Consolidating data is the easy half. The hard half is: when the tool says "here's how to split the budget," does the user hit run, or override it because it feels off?
Two things I've landed on:
1. Show the reasoning, not just the recommendation. If someone disagrees, they can see what they disagree with instead of arguing with a vibe.
2. Make the irreversible stuff cheap to undo — campaigns are created paused, nothing spends until the human flips it on.
Still chewing on how to earn pre-data trust — the moment before they have any results to anchor on. That's the ugly one.
If you have a sharper frame, I'd take it.
yeah, that “pre-data trust” part is the real problem. Before results exist, people don’t really trust the tool- they trust their own judgment. So the tool isn’t replacing decisions, it’s competing with them showing reasoning helps, but what really matters is making it clear what kind of decision this actually is.
Like: is this a safe test, a strong bet, or something that needs confirmation first?
without that framing, everything just feels like a guess.
Yep — that's a good way to frame it, and it's cleaner that way too. "Safe test / confident bet / needs validation" maps directly to a mode-badge on every AI recommendation, with the reasoning visible under it. That pulls in pre-data trust not by proving the model is right, but by making what the model actually claims to know unambiguous.
Prototyping it this week. If I ship it, happy to send you a 60-second Loom when it's live so you can tell me where the framing misses — no call needed, just a link.
Either way, genuinely thanks. This is the second reframe from this thread that's changed the product.