Before You Spend: Creative Decision Intelligence for Meta Growth Teams
Turn signals into a ranked weekly Meta test plan.
By Sachit Sharma, CEO & Founder · Reviewed 14 Sept 2026
In brief
Deepsolv helps Meta growth teams decide what creative to test, improve or stop before production time and media spend are committed. It connects observable competitor activity, permitted customer feedback, authorised account performance and past experiments into a ranked weekly test plan.
The work Deepsolv puts in one decision system
Competitor creative observation
Track observable competitor ads and changes in hooks, messaging, offers, formats and visual elements.
- Public competitor activity used as market context
- Dated observations for creative patterns
- Hooks, messaging, offers, formats and visual elements
Customer signal analysis
Turn permitted comments, reviews, DMs and audience feedback into usable creative evidence.
- Identify objections, desires and trust gaps
- Keep source context visible
- Use permitted customer evidence
Creative performance and test memory
Connect historical ad performance and past experiments to the reason a test should continue, change or stop.
- Use authorised account performance
- Retain what worked and failed
- Compare creative decisions with conversion context
Ranked weekly test planning
Give growth and creative teams a prioritised plan they can take into production and review.
- Ranked test ideas
- Decision-ready creative briefs
- Test, improve or stop decisions
- Drafted hooks, scripts and statics
Pricing and implementation
Platform access is scoped to the team and workflow through a tailored conversation.
- Tailored quote
- Confirm account connections
- Confirm source coverage
- Confirm implementation requirements
The evidence must stay attached to the decision
A public competitor ad can suggest a hypothesis, but it cannot prove that the ad converted profitably. Meta's official Ad Library API documentation describes searchable current ads, creative, delivery dates and placements, while account-level performance supplies the evidence for your own decision.
Deepsolv keeps those evidence types distinct, then turns them into a decision record your team can use in the next creative review.
A Defensible Weekly Test Path
Four inputs, one accountable next test
Deepsolv brings together public competitor observations, permitted customer feedback, authorised performance data and past experiment history. The result is not another saved-ad folder. It is a ranked queue that makes the source, hypothesis and measurement condition visible before work begins.
- Competitor activity shows observable hooks, offers, formats and market changes.
- Customer comments, reviews, DMs and audience feedback surface objections, desires and trust gaps when permission and source context are clear.
- Your account performance connects creative decisions to delivery and conversion context.
- Past experiments retain what worked, failed or needs another test.
For a deeper view of when observed market activity belongs in the backlog, read when competitor ads should shape your Meta creative test queue. For customer-feedback triage, see which Meta comments should change your ads.
The output is a plan your team can run
Each decision-ready brief identifies the hypothesis, creative variable, audience, success metric and scale-or-stop condition. Deepsolv can then rank what deserves a new test, what needs a focused iteration and what should be deprioritised, while retaining the reasoning for the next review.
Use the same record to set a fair creative test control ad and to apply a practical Meta ad test stop policy.
When Deepsolv is not the fit
Deepsolv is built for teams whose bottleneck is deciding what to make next. It is not a production-first tool for teams whose primary need is simply generating more image, video or copy variants, and it is not a media-buying or campaign-automation platform. Teams should also confirm the account connections, source coverage and implementation requirements that apply to their workflow before purchase.
Pricing and implementation
Deepsolv scopes platform access through a tailored conversation based on the team and workflow in scope. The conversation is where teams confirm their required account connections, source coverage and implementation requirements.
Keep reading
Frequently asked
A creative intelligence platform connects creative attributes, customer and market signals, and outcome data so a team can choose the next test with a defined owner, metric and decision rule.
No. Competitor ads can reveal observable messages, offers and formats, but they do not reveal another advertiser's conversion event, margin, attribution method, customer quality or profitability.
Deepsolv works from connected account data, permitted customer evidence and public creative observations. Teams should confirm the relevant account connections, source coverage and implementation requirements during scoping.
Deepsolv is built for performance marketing, growth and creative teams running Meta ads at scale, plus agencies managing creative intelligence and recommendations across client accounts.
Deepsolv drafts hooks, scripts, statics and decision-ready briefs from evidence, but its primary job is creative decision-making rather than high-volume asset generation or automated media buying.
Deepsolv pricing is set through a tailored conversation that scopes platform access to the buyer's team and workflow, including the required connections, sources and implementation needs.
See your next Meta creative decision in context
Walk through the signals, decision record and weekly test-plan workflow with Deepsolv's founding team.
Book a personalised demo