Deepsolv for In-House DTC Meta Teams Who Need a Test Queue
Creative decision intelligence for in-house DTC Meta growth teams.
By Sachit Sharma, CEO & Founder · Updated 15 Sept 2026
- +500
- brands, as reported by Deepsolv
- 30+ hours
- per week, attributed to Pilgrim’s Director of Growth
Deepsolv homepage, 2026
Deepsolv features, 2026
In brief
Deepsolv helps in-house DTC Meta teams decide what creative work deserves the next test. It turns competitor activity, customer signals, historical performance, and past experiments into a ranked weekly plan, with briefs and a record of what the team learned.
What changes before the next creative sprint
Ranked weekly test plans
Turn scattered inputs into a prioritised decision about what to test, improve, or stop.
Competitor creative research
Use visible messaging, angles, offers, formats, and visual elements as research context for new hypotheses.
Customer-signal analysis
Translate reviews, comments, DMs, Reddit discussions, and audience conversations into creative evidence.
Decision-ready briefs
Move a selected hypothesis into hooks, scripts, and static-ad drafts with its evidence trail attached.
Creative-test memory
Keep a record of what worked, failed, and why, so the next weekly review starts with prior learning.
Tailored core access
Scope the decision workflow around the team, account connections, source coverage, and implementation requirements.
- Pricing: tailored quote
- Confirm account connections
- Confirm source coverage
- Confirm implementation requirements
Where we work
- Baby & Kids
- Bags & Luggage
- Banking & Credit Cards
- Beauty & Skincare
- Education
- Eyewear
- FinTech
- Food & Beverages
- Health & Wellness
- Home Cleaning & Care
- Intimates
- Jewellery
- Kitchen & Cookware
- Men’s Apparel
- Women’s Apparel
What customers say
We save 30+ hours a week and didn’t need to hire.
Deepsolv turns questions in comments and DMs into leads.
A weekly queue built from evidence
A visible competitor ad can suggest a hypothesis, but your account results and controlled tests decide whether that hypothesis deserves more budget. Deepsolv gives growth, media, and creative leads one shared queue for what to test, improve, or stop, rather than another saved-ad library or reporting dashboard.
Evidence becomes next week’s creative work
What the team can act on
- Competitor creative research: examine messaging, angles, offers, formats, and visual elements as market context.
- Customer-signal analysis: turn reviews, comments, direct messages, Reddit discussions, and audience conversations into testable objections, desires, trust gaps, and buying triggers.
- Ranked creative decisions: prioritise concepts for the next weekly plan, including what to test, improve, or stop.
- Decision-ready briefs: draft hooks, scripts, and statics from the evidence behind a chosen test.
- Test memory: retain what worked, failed, and why, so repeated hypotheses are easier to spot.
Deepsolv fits teams whose constraint is prioritisation. It is not the right starting point when the immediate need is editable image or video production, campaign automation, social-media scheduling, or proof that a competitor ad is profitable. For the underlying operating model, see creative decision intelligence for Meta growth teams and the Meta creative test queue.
Pricing and rollout
As of September 2026, core access is scoped through a tailored conversation for the team and workflow. Review Deepsolv pricing and confirm account connections, source coverage, and implementation requirements during the demo.
