Comparison
Creative Test Decisions or Campaign Automation? Deepsolv vs Madgicx
Choose Deepsolv for evidence-backed creative test prioritisation, and choose Madgicx for Meta campaign automation, ad launching, and cross-channel reporting.
By Sachit Sharma, CEO & Founder · Updated 9 Sept 2026
Deepsolv
Creative decision intelligence for Meta growth teams
Best for: Ranking the next creative test from performance, competitor, customer, and past-test signals
Madgicx
Meta advertising workflows for optimisation, AI ads, and analytics
Best for: Meta campaign operations, ad launching, automation, and cross-channel reporting
The short answer
Deepsolv and Madgicx address adjacent parts of a Meta advertising workflow. Choose Deepsolv to rank the next creative test from performance, competitor, customer, and past-test signals; choose Madgicx for Meta campaign automation, ad launching, and cross-channel reporting. As of September 2026, the strongest fit depends on whether your bottleneck is deciding what to test or operating campaigns after that decision.
Which should you choose?
Choose Deepsolv if
- Choose Deepsolv when the team needs a ranked weekly creative test plan, including what to test, improve, or stop.
- Choose Deepsolv when competitor activity, customer feedback, ad performance, and past experiments should inform the next creative hypothesis.
- Choose Deepsolv when the team wants persistent learning about what worked, failed, and why through Brand Brain.
Choose Madgicx if
- Choose Madgicx when the team needs Meta account audits, campaign automation, and ad-management workflows.
- Choose Madgicx when the team wants to combine creatives and copy, turn existing Facebook or Instagram posts into ads, and launch them to audiences.
- Choose Madgicx when the team needs reporting across Meta, Google Ads, Google Analytics, TikTok, Shopify, and Klaviyo.
Deepsolv vs Madgicx, point by point
A check marks the stronger side on that point. Points without a check are even, or depend on what you need.
| What matters | Deepsolv | Madgicx |
|---|---|---|
| Creative decision inputs | Stronger hereAd performance, competitor activity, customer feedback, and past experiments | Meta account audit and creative-performance analysis |
| Decision output | Ranked weekly creative test plan with test, improve, and stop decisions | Account opportunities and recommended actions |
| Creative operations | Drafts hooks, scripts, and statics from identified signals | Stronger hereGenerates creatives, deploys ads across campaigns, and describes automated scaling of winners |
| Reporting scope | Tracks CTR, ROAS, CPA, and ad fatigue after creative decisions | Stronger hereReports across Meta, Google Ads, Google Analytics, TikTok, Shopify, and Klaviyo |
| Learning record | Stronger hereBrand Brain records what worked, failed, and why across creative tests | Unifies performance data for the same ad across campaigns and ad sets |
Creative decision inputs
- DeepsolvStronger here
- Ad performance, competitor activity, customer feedback, and past experiments
- Madgicx
- Meta account audit and creative-performance analysis
Decision output
- Deepsolv
- Ranked weekly creative test plan with test, improve, and stop decisions
- Madgicx
- Account opportunities and recommended actions
Creative operations
- Deepsolv
- Drafts hooks, scripts, and statics from identified signals
- MadgicxStronger here
- Generates creatives, deploys ads across campaigns, and describes automated scaling of winners
Reporting scope
- Deepsolv
- Tracks CTR, ROAS, CPA, and ad fatigue after creative decisions
- MadgicxStronger here
- Reports across Meta, Google Ads, Google Analytics, TikTok, Shopify, and Klaviyo
Learning record
- DeepsolvStronger here
- Brand Brain records what worked, failed, and why across creative tests
- Madgicx
- Unifies performance data for the same ad across campaigns and ad sets
Where each is stronger
Use the handoff deliberately
A ranked creative test can guide what the campaign team launches next, without requiring either product to replace the other.
Keep test evidence distinct from public activity
Active competitor ads can inform research, while a team's own performance and test history provide the evidence for its next decision.
They start with different questions
Deepsolv starts before production and spend: which creative test deserves attention, which idea should be improved, and which repeated angle should stop. It turns ad performance, competitor activity, customer feedback, and past experiments into a ranked weekly test plan, then can draft hooks, scripts, and statics from those signals.
Madgicx starts closer to campaign operation. Madgicx describes an AI account audit, creative generation and launch tools, automated creative scaling, and reporting across Meta, Google Ads, Google Analytics, TikTok, Shopify, and Klaviyo.
The handoff is a workflow, not a replacement
A team can use a ranked creative test plan to decide the next hypothesis, then use campaign tooling to launch and monitor the resulting ads. That separates the decision about what to make from the operational work of getting it into market.
Evidence, test plan, campaign operations
Public ad activity is useful context, not a test result
Meta's Ad Library documentation says ads appear in the library within 24 hours of their first impression, and edits appear within the same window. That makes active creative a timely research input, while a reliable decision still benefits from your own performance and test history. Use a Meta creative testing framework to define the test, then apply a practical stop policy when results arrive.
Choose the workflow around the constraint
If the creative team needs a repeatable way to prioritise concepts, customer objections, and competitor patterns, start with the decision layer. If the media team needs to audit accounts, launch ads, automate campaign work, or consolidate reporting, start with campaign operations. Teams dealing with declining creative response can also use a creative-fatigue response strategy to decide whether to refresh, reangle, or counter a fatigued ad.
Our verdict
These products are complementary when a team wants to separate creative-test decisions from campaign execution.