Switching from Adtomic, Perpetua, or Helium 10 Ads

Is this you?

You've been running a SaaS PPC tool for a while. It's not failing you — you know the basics, your campaigns are running, and you understand what ACoS means. But something's off.

Maybe it's the bill. Adtomic charges roughly 2% of your ad spend once you cross $5,000/mo — so at $30K/mo spend, you're writing a check for around $700/mo. Perpetua starts at $695/mo and tacks on a percentage of spend on top of the base fee at higher tiers. The invoice doesn't feel like it scales with the value you're getting.

Or maybe it's the black box. Your SaaS tool is adjusting bids automatically, but you can't see the reasoning. The algorithm changed your top keyword bid by 40% last Tuesday and you found out three days later when you checked. You don't know why, and you can't audit the decision.

Or both. You're paying a lot for a tool you don't fully trust.

Daniel is in exactly this position. He runs a $30K/mo ad-spend account, pays Adtomic roughly $700/mo on the 2%-of-spend model, and has six months left on his contract. He's not unhappy — the tool works — but he doesn't trust the recommendations he can't inspect. He wants visibility into the reasoning, not just the outcome. And he's wondering whether the $700/mo buys him anything he couldn't get with a tool that costs $49/mo.

This guide is for Daniel. It covers the real cost difference, what you give up and what you gain by switching, how to migrate without losing your optimization history, and the situations where staying on SaaS is genuinely the right answer.

The full feature comparison is at /compare. This page is the decision framework.

The fundamental shift

The most important thing to understand about bddr.ai versus Adtomic, Perpetua, or Helium 10 Ads isn't the price. It's the architecture.

SaaS tools sit beside Amazon's console. They connect via Amazon's Advertising API, pull your data to their servers, run their algorithms on it, and push changes back to Amazon via that same API. You operate in their dashboard — a separate interface that mirrors your campaign data with a day or two of lag depending on API sync. When you want to understand a bid change, you're reading their UI's explanation of what their system did to your account on Amazon's side.

bddr.ai sits inside Amazon's console. It's a Chrome extension that injects directly into the advertising pages you already use. It reads the same data you're looking at — in real time, right there in the browser — and overlays analysis on top. When you click into a campaign, health badges appear on every keyword row. The ACoS heatmap colors every row green to red. The priority list shows you what needs attention. And when you take action, bddr.ai fills Amazon's own bid input fields, or generates a bulksheet for upload.

This architectural difference drives everything else:

• No API setup. bddr.ai doesn't need OAuth credentials, developer access, or API approval. It reads what the page renders.
• No data ever leaves your browser. Your keywords, bids, and spend stay on your machine. bddr.ai processes everything locally.
• No context switching. Your analysis and your actions happen in the same interface.
• No background automation. bddr.ai doesn't run while you sleep. Changes require your presence and your approval. That's a constraint — and for Daniel, it's also the point. He wants to make the decisions.

The SaaS model trades control for automation. bddr.ai trades automation for control. Neither tradeoff is universally correct — which is why the last section of this guide covers the cases where SaaS is still the right answer.

What you'll actually pay

Let's use Daniel's numbers. $30K/mo in ad spend. Six months until contract renewal.

On Adtomic's Helium 10 Diamond plan (required for the full automation engine), pricing is roughly $359/mo for the Helium 10 base subscription plus a 2% fee on ad spend over $5,000/mo. At $30K/mo, the 2% fee applies to $25K (the amount over $5K), yielding $500/mo in spend fees. Total: roughly $359 + $500 = ~$859/mo. Some sellers lock in rates closer to $700/mo through annual plans or negotiated tiers — Daniel's $700/mo estimate reflects a reasonable mid-range for his spend level. See the compare page for current pricing — Helium 10 adjusts rates periodically.

Perpetua's Essentials tier starts at $695/mo and is capped at $10K/mo in ad spend. At $30K/mo, Daniel would need a higher tier that adds a percentage on top of the base fee — putting the all-in cost well above $1,000/mo. Current Perpetua pricing is on the compare page.

bddr.ai's Power plan is $49/mo. It covers unlimited campaigns, multi-marketplace management (Power+ only), a 365-day audit trail, and full bid optimization with search term harvesting. No percentage of spend. The bill is $49 whether you spend $30K or $300K per month.

The pricing comparison is straightforward. The harder question is whether the $810/mo difference buys something you can't get back — which is what the next section covers.

Control vs. convenience

The case for SaaS isn't price — it's automation. Adtomic and Perpetua run 24/7. They adjust bids at 2 a.m. on a Saturday when you're not looking at your laptop. They can execute changes across hundreds of campaigns simultaneously without requiring you to be present. If your goal is maximum hands-off automation, SaaS has a real advantage.

The case for bddr.ai is what Daniel actually cares about: every change is visible and approved before it happens.

When you run Quick Optimize in bddr.ai, you see a preview screen before anything changes. It lists every proposed bid adjustment — the keyword, the current bid, the proposed new bid, and the reasoning. "Bleeder: 38 clicks, 0 orders, $14.20 wasted. Suggestion: slash bid to $0.22." You read it. You decide. You confirm. Then bddr.ai writes the new bid into Amazon's input field — not via API, but directly in the UI you're already looking at.

Nothing happens without your explicit approval. That's the design, not a limitation.

What you're actually comparing

The honest framing isn't "automation vs. manual." It's "who makes the final call, and can you audit the reasoning?"

• SaaS automation: The system makes the call. You can usually see what it did after the fact, but the decision happened in the algorithm. Great if you trust the algorithm and want to delegate bid management entirely.
• bddr.ai with Quick Optimize: bddr.ai recommends, you decide. The recommendation logic is transparent — you can read why each change is suggested. Great if you want decision support without decision replacement.

For Daniel, the distinction matters. He's managing a $30K/mo account where a bad batch of bid increases on his hero keywords could cost him $3,000 in wasted spend in a week. He wants to review changes before they ship, not reconstruct what happened afterward.

The time investment

bddr.ai is not a passive tool. Running Quick Optimize on a campaign takes five minutes — reviewing the preview, confirming, watching it apply. For 10–15 campaigns, that's 20–30 minutes. Weekly search term harvesting adds another 20–30 minutes. Total: roughly an hour a week for a mid-size account.

SaaS automation can reduce that to minutes of oversight per week, once the rules are configured. If your time is genuinely the constraint, that matters.

Daniel's calculus: he was already spending 90 minutes a week inside Adtomic reviewing what it did. Spending 60 minutes a week approving changes in bddr.ai, with full visibility into the reasoning, is a better use of the same time — plus he gets the $810/mo back.

AI Guide (coming soon — private beta)

bddr.ai's AI Guide will let you ask plain-English questions about your account — "why did my ACoS spike last week?" or "which campaigns should I prioritize this month?" — grounded in your actual metrics. This feature is in private beta and not yet generally available. When it ships on Pro+, it adds a layer of analytical assistance that narrows the gap with SaaS advisory features. Until then, bddr.ai's value proposition is the transparency and control model, not AI-driven advisory.

How to migrate without losing work

Daniel has six months until his Adtomic contract renewal. That's plenty of time for a methodical parallel run — and parallel running is exactly the right approach.

Step 1: Install bddr.ai and audit your current state

Install bddr.ai (two minutes, no API credentials needed) and navigate to your highest-spend campaigns. You'll immediately see health badges on every keyword: bleeders, heroes, untapped, dormant. This is your baseline — what your account actually looks like right now, scored against your target ACoS.

Don't change anything yet. Just read the dashboard for two weeks alongside your existing SaaS tool. Notice where bddr.ai's health classifications agree with what your SaaS is doing, and where they diverge. A keyword your SaaS is funding as a moderate performer might show up as a bleeder in bddr.ai — or vice versa. Understand the discrepancy before you start making changes.

Step 2: Pick one campaign and run bddr.ai exclusively

After your two-week read-only period, choose one mid-tier campaign — not your top performer, not your worst. Disable Adtomic's automation rules on that campaign only. Run it through bddr.ai's Quick Optimize workflow for four weeks. Compare results: ACoS trend, spend efficiency, time invested.

For Daniel, this is the real test. If bddr.ai's explicit-approval model produces comparable ACoS improvement on that pilot campaign, he has data — not intuition — for the renewal decision six months out.

Step 3: Document what your SaaS built

SaaS tools accumulate institutional knowledge: negative keyword lists, bid rules, harvested search terms, audience configurations. Before you wind down, export everything you can. From Adtomic specifically:

• Export your negative keyword library — Amazon's console imports these directly via bulk operations.
• Screenshot or export your active bid rules so you understand the logic to replicate as Quick Optimize presets in bddr.ai.
• Export your search terms history and any harvested keyword records — these inform your starting keyword strategy in the manual campaigns bddr.ai will manage.

The bid adjustment history itself doesn't transfer — bddr.ai's audit trail starts from when you begin using it. But the underlying campaign structure, negative lists, and keyword sets are Amazon-native and will be waiting for you in the console regardless of which tool you use.

Step 4: Roll the rest of the account and run solo before renewal

If the pilot campaign data looks solid, roll your full account to bddr.ai two months before your contract renewal date. Run bddr.ai exclusively for those two months. By the time you're deciding whether to renew, you have real performance data — not a hypothesis.

Daniel's six-month window is enough runway for all four steps with time to spare.

When SaaS is still the right call

This is where a fair comparison has to be honest.

You need background automation that runs when you're offline. bddr.ai requires your presence. If your campaigns need continuous automated adjustment — overnight, on weekends, in real time — a SaaS tool with API-connected automation is structurally better suited to that. No tool that requires an open browser tab can match a server-side rule engine that runs around the clock.

Your organization requires SOC 2 attestation from your tooling vendors. bddr.ai doesn't hold your data (it stays in your browser), so it doesn't have a SOC 2 attestation. Enterprise procurement teams that require a formal attestation from every vendor in the stack won't be able to clear bddr.ai through their process. Adtomic and Perpetua, as established SaaS vendors, carry the compliance documentation that enterprise procurement requires.

You manage a team that needs centralized access controls and audit trails across accounts. bddr.ai's Agency plan supports multi-account management, but it's designed for boutique agencies, not large enterprise teams with role-based permissions, shared rule libraries, and centralized policy enforcement. If you're coordinating PPC management across 20+ clients with a team of analysts, the enterprise SaaS tools have purpose-built team infrastructure that bddr.ai doesn't match.

Your account is genuinely too large and complex for active management. At very high spend levels with hundreds of campaigns and thousands of ad groups, the volume of changes needed per week may exceed what one person can reasonably review and approve. SaaS automation's value scales with account complexity. bddr.ai's value scales with the decision-quality per change — which matters more at moderate account sizes where each change is inspectable.

Daniel doesn't fit any of these cases. He manages his own account, runs a browser during normal business hours, and values audit visibility over hands-off automation. But if you do fit one of these cases, staying on SaaS isn't a concession — it's the right answer.

Try it free

The Free plan is a complete read-only audit of your account. Install, navigate to your campaigns, and see every keyword classified by health tier — bleeders, heroes, untapped, dormant — immediately. No API credentials, no onboarding call, no trial conversion pressure.

For Daniel's evaluation, the Free plan is the right starting point. Spend two weeks reading the dashboard alongside Adtomic. See where the classifications agree, where they diverge, and whether the transparency model is something you want to act on. The Free plan doesn't require you to make any changes — it just shows you what's there.

When you're ready to take action, Pro ($29/mo) unlocks Quick Optimize and search term harvesting. Power ($49/mo) adds unlimited campaigns, the 365-day audit trail, and multi-marketplace management. There's no percentage of spend at any tier.

If the parallel-run approach makes sense — running bddr.ai alongside your current SaaS for a few weeks before making any decisions — the Free plan supports that from day one. Your campaigns don't know you've installed it.

Install bddr.ai free

Or read the full side-by-side comparison of bddr.ai vs. Adtomic, Perpetua, and other extensions — feature by feature, with current pricing. If you manage multiple client accounts, the agency guide covers per-account isolation, client reporting, and how bddr.ai fits a boutique agency workflow.