Creative Analytics Platform Cost, Coverage and a 4-Step Fit Check

It groups your ads by creative attributes and shows performance side by side, so a team sees results by hook, format or message instead of by campaign. "Creative analytics" means exactly that: reporting organized around what is in the ad.

On the vendor's own site, as read on October 30, 2026, the product includes:

• attribution integrations (tools that credit sales to ads) with Northbeam and Google Analytics 4 (GA4), on the Pro plan and above
• automatic grouping of creatives, and AI tagging on Meta
• frame-by-frame video analysis
• week-to-week tracking

Meta is the deepest integration. The vendor's FAQ states that some features, AI tagging among them, are currently Meta-only. TikTok gets the platform's metrics, group by creative and creative insights. LinkedIn and YouTube get two reports each, Top Performing and Comparative Analysis. Each workspace holds one ad account per platform, and you can create several workspaces for different clients.

An AI assistant is included in every paid plan, and the homepage lists AI agents for competitive intelligence, pre-publish analysis and weekly reporting.

The platform's strength is depth on Meta, its most advanced integration. Its limits are specific, and each one can be tested before you commit.

The Starter plan costs $999 a month as of October 30, 2026, and covers up to $50,000 of monthly ad spend, per the vendor's own pricing page. The two larger plans are quote-only: Pro for spend over $50,000 and Growth for spend over $125,000.

The Starter plan includes unlimited seats and ad accounts. It also includes a dedicated AI assistant that runs on its own virtual machine (VM, a private cloud computer). Pro adds attribution integrations and personalized onboarding. Growth adds a dedicated customer success manager and advanced security.

The vendor also offers custom agency plans and pricing through a demo, per its FAQ, so ask for a quote if you manage several clients.

The fee is flat, so its share of your spend falls as spend rises. This is our calculation: $999 divided by monthly ad spend.

At $999 a month, the annual cost is $11,988. As of October 2026, the vendor's FAQ recommends the platform for teams launching 10 or more creatives and spending at least $25,000 a month on Meta ads. Our 3% line, $33,300, is stricter. It is our rule of thumb for a reporting layer, not an industry standard. If the price changes, divide the new fee by your own spend.

In our view, the ads you launch carry more of the result on Meta as bidding and audience settings do less of the work. The EMARKETER and Perion survey shows how far practice trails that. 89.2% of respondents said creative is important to campaign performance, yet 41.4% receive creative insights two to four weeks after launch and 16.2% get none until the campaign ends. A fee that buys faster feedback only pays back if your team launches enough new creative to learn from. That is why the fit check below starts with spend and naming before it looks at features.

Run four checks: the first two need no account and take an afternoon, and the last two need a connected free trial, with the fourth needing about a week of data. The vendor offers a free trial, and its homepage says no credit card is required. Its pricing page does not state the trial's length, so confirm that and any limits before you connect an account. Each check has a pass and a fail.

Is the fee under 3% of your monthly ad spend?

Add your ad spend for the last three full months, divide by three, then divide $999 by that average.

Pass: 3% or less, meaning an average spend of $33,300 or more.

Fail: anything higher. If spend sits near the $50,000 ceiling, expect to move to a quoted plan.

Do 80% of your ads carry a usable name?

List every ad that spent money in the last 90 days. Count the ads whose names state the concept, the hook and the format.

Pass: 80% or more.

Fail: below 80%. The 80% mark is our rule of thumb, not a vendor requirement.

This is a test of your own account, not of the platform. Its AI tagging covers Meta creatives with spend in the last 90 days, and consistent names are how you check those tags by hand and how the platform groups ads by name. Without them you cannot tell whether the groupings are right.

Our Meta ads naming convention spec gives a copy-paste format for all three levels. Our free creative audit scorecard scores six areas of test readiness, including signal quality and learning capture.

Do the platform's hook and hold rates match Meta's?

This check needs the connected trial. Pick your five highest-spend video ads. Export their numbers from Ads Manager, Meta's own reporting tool, and compute hook rate (how many people stop for a video's opening seconds) and hold rate (how well the video keeps people watching) with the formulas on our hook rate page.

Compare them with the platform's numbers for the same dates. The platform labels its attention metrics Hook Score and Watch Score, so check whether each is a rate you can reproduce or a score built on its own formula.

Meta counts a 3-second video play when a video plays for at least three seconds, or for nearly its full length if it is shorter. It counts a ThruPlay when a video plays to completion or for at least 15 seconds. Ask which of these counts each of the platform's figures is built on.

Pass: the figures match once the definitions are the same.

Fail: they differ and you cannot find which definition the platform uses. Do not trust any ranking built on a metric you cannot reproduce.

Can the platform name your next test?

This check needs about a week of trial data. Write down the next three tests you will run. For each, record one variable, an owner, the metric that decides it and a stop rule. Our free creative test capacity planner sizes how many concepts your budget and production can support each week.

Pass: at least 2 of your 3 chosen tests appear in the platform's own ranked output with a stated reason, and you built no separate spreadsheet ranking.

Fail: fewer than 2.

A report describes what happened. The next test needs five separate handoffs, and a dashboard covers the first one well:

Teams that stop at step one end up with a weekly meeting about last week. We lay out the handoffs in creative analytics versus test planning.

The reporting platform's AI assistant and routines cover part of steps two to four, and its pricing page lists briefs, hooks, iteration finders and weekly reports. What to test in the trial is how it ranks one test above another and whether that ranking rests on evidence you can inspect. Steps three and four are what we built Deepsolv's Meta creative intelligence platform to produce.

We break the whole ad library down by offer, language, landing page, creator share and format, use rank data to separate what is performing from what is merely running, and attach a specific action to every insight. That becomes a ranked weekly test plan and execution-ready creative briefs for Meta advertising teams. Pricing is set on a personalized demo with our founding team; see our agency pricing and integrations page.

Start with the reporting platform when its $999 fee is 3% or less of your monthly ad spend and 80% or more of your ads carry a usable name. Start with a ranked test plan when your reports are clear but the team still argues about what to test next. This table is our recommendation.

If the reporting platform fails the fee or naming checks, fix those first before you choose a tool. If your gap is the next Meta test, book a personalized demo with our founding team to see a ranked weekly test plan and ask for a quote for your team.

A creative analytics platform is a sound choice when its fee is a small share of your Meta spend, your ads carry names that let you check its AI tags, and your team acts on what the reports show. If your spend is below the 3% line, fix naming and use Ads Manager exports first. If the fee clears the line, run the hook-figure match and the next-test check during the trial before you commit.

The deeper question is what happens after the report. Seeing which ad won is the easy part. The harder part is turning that into one ranked test with an owner, a deciding metric and a stop rule, week after week. Whichever tool you choose, hold it to that standard and keep each result in a shared record so the next ranking starts from what you learned.

See how Deepsolv helps you understand what's working, why it's working, and what to test next.