Deepsolv
Creative decision intelligence for Meta advertising growth teams
- Category
- Marketing & SEO
- Pricing
- Pricing is not published; the company demos and quotes based on ad spend and team size. No self-serve free plan.
- Best for
- Deepsolv is built for Meta growth teams at D2C and consumer brands, and the agencies managing paid social for several such brands, particularly once ad spend is high enough that manual creative-testing decisions become a bottleneck.
- Official site
- deepsolv.ai
- Last updated
- August 2026
Deepsolv is a creative decision intelligence platform built specifically for teams running paid growth on Meta (Facebook and Instagram). Rather than another analytics dashboard that shows what already happened, it is built to answer the question growth teams actually face next - what to test - by combining a brand's own ad performance history with continuously updated competitor creative data and aggregated customer feedback pulled from reviews, DMs, comments and forums like Reddit.
Its "Brand Brain" keeps a running memory of what a brand has already tried and what worked or failed, so recommendations build on a brand's own testing history rather than generic best practices. The company reports over 500 brands use the platform, with case studies citing results such as 4.5x+ ROAS and a 38% increase in ad spend efficiency for clients including Pilgrim, Ghar Soaps, The Pant Project, Hair Originals and NexTen Brands.
Deepsolv is built for Meta growth teams at D2C and consumer brands, and the agencies managing paid social for several such brands, particularly once ad spend is high enough that manual creative-testing decisions become a bottleneck. It's a weaker fit for brands without an active Meta ad program, or teams that need one tool covering creative intelligence across multiple ad platforms rather than Meta specifically.
Key features
Ranked Weekly Test Plans
Surfaces the highest-confidence creative experiments to run next, ranked by expected impact rather than left as an unprioritized backlog.
Performance Analysis
Continuously evaluates live and past ad performance - CTR, CPC, ROAS, conversion rate and audience fatigue - to flag which creatives are winning, plateauing or declining.
Competitor Ad Tracking
Monitors competitor Meta ads on an ongoing basis, surfacing their hooks, offers, formats and messaging changes as they happen.
Customer Insight Mining
Aggregates reviews, DMs, comments and Reddit discussions into concrete creative angles and messaging ideas grounded in real customer language.
Brand Brain
Retains a history of a brand's own past creative tests and outcomes so new recommendations build on what has already been learned rather than repeating dead ends.
Test / Iterate / Stop Recommendations
Classifies each active creative as worth testing further, worth iterating on, or worth stopping, turning raw performance data into a clear next action.
Pricing breakdown
Custom
- Ranked weekly creative test plans
- Ad performance and competitor tracking
- Customer insight mining
- Brand Brain historical memory
Pros and cons
Pros
- Consolidates ad performance, competitor creative and customer-feedback research into one ranked action list, cutting down the manual analyst work growth teams usually do across spreadsheets and separate tools
- The Brand Brain concept means recommendations account for a specific brand's own testing history rather than repeating generic creative advice
- Customer-insight mining from reviews, DMs and Reddit is a differentiator most Meta ad-analytics tools don't offer
- Case studies citing 4.5x+ ROAS and a 38% spend-efficiency increase, plus 500+ brands on the platform, suggest real traction with D2C advertisers
Cons
- Pricing is fully custom and not published anywhere on the site, making it harder to shortlist against competitors without booking a call
- Focused specifically on Meta; brands running significant budget on Google, TikTok or programmatic will need separate tools for those channels
- As a newer entrant, it doesn't yet have a public track record on review platforms like G2 or Capterra to independently verify satisfaction at scale
- Case-study results (ROAS, spend efficiency) are self-reported by the company rather than independently audited
What reviewers say
Deepsolv has not yet built up a public review base on major platforms like G2 or Capterra. What's available is company-published: brand logos and case-study figures (such as 4.5x+ ROAS and a 38% spend-efficiency increase) from clients including Pilgrim, Ghar Soaps and The Pant Project, cited on Deepsolv's own site rather than an independent review platform.
Frequently praised
- Vendor-reported case studies citing 4.5x+ ROAS and 38% ad spend efficiency gains
- 500+ brands reported on the platform, including recognizable D2C names
Frequently criticized
- No independent G2, Capterra or Trustpilot rating volume found to verify satisfaction at scale
- Pricing is not disclosed, so cost-to-value can't be assessed before a sales conversation
Alternatives to Deepsolv
Frequently asked questions
What exactly does Deepsolv do?
It analyzes a brand's Meta ad performance, competitor ads and customer feedback, then produces a ranked weekly plan of which creatives to test, iterate on, or stop.
Does Deepsolv create the ad creative itself?
Deepsolv is focused on the decision layer - what to test and why - based on data, rather than being a generative ad-creative production tool.
How much does Deepsolv cost?
Pricing isn't published; the company quotes based on ad spend and team size after a demo.
Which platforms does Deepsolv cover?
Deepsolv is purpose-built for Meta advertising (Facebook and Instagram); it does not currently cover Google, TikTok or other ad platforms.
Who uses Deepsolv?
The company reports 500+ brands on the platform, including D2C names such as Pilgrim, Ghar Soaps and The Pant Project, plus performance-marketing agencies.
Ready to try Deepsolv?
Head to the official site to explore pricing and start a free trial where available.
Visit Deepsolv →