Block AI · Primary Research

Research

First-party data studies drawn from Block AI’s production tools. Every finding comes from real follow actions, real accounts, and real outcomes — not surveys.

Case StudySeptember 2026

GeniusX Case Study: 6,709 Real X Followers in 30 Days

68,900 AI-targeted follows turned into 6,709 real follow-backs across 63 client subscriptions in September 2026 — a 9.7% average follow-back rate. The best-performing account converted at 15.5%. Zero bots, zero bought followers, zero manual work. Handles masked for client privacy.

6,709

Follow-backs earned

9.7%

Avg follow-back rate

15.5%

Best account rate

X GrowthFollow AutomationGeniusXCase Study63 Accounts
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Primary ResearchJuly 2026

Block AI GeniusX Follow-Back Report — July 2026

8.36% of 76,168 strategically targeted X follows were reciprocated across 37 active accounts. A targeting quality filter deployed on 30 June raised the rate from 7.76% to 9.69% — a +25% lift in 10 days. Median follow-back: 3.9 hours. Phrase performance ranges from 26.2% ("ethereum scaling") to 0.6% ("marketing automation").

8.36%

Follow-back rate

3.9h

Median time to follow-back

+25%

Quality filter lift in 10 days

X GrowthFollow AutomationGeniusXQuality FilterKeyword Analysis
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Primary ResearchJune 2026

X Follow-Back Report — June 2026

3.0% of strategically targeted X follows were reciprocated. Median follow-back arrived 2.8 hours after the follow. Accounts with 10k–100k followers reciprocated at 6× the rate of sub-100 accounts. Data from 9,418 live follows across GeniusX and CloneX.

3.0%

Follow-back rate

2.8h

Median time to follow-back

6×

Mid-size vs small account reciprocation

X GrowthFollow AutomationGeniusXCloneX
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About this research

Block AI publishes recurring data studies on X (Twitter) growth, follow behaviour, and social media automation. All figures are drawn from production data — follow actions executed by GeniusX Follow and CloneX Follow across active subscriber accounts. Findings are updated each edition at the same canonical URLs so citations remain stable.

To cite Block AI research, use the citation block at the bottom of each report page. For press or partnership enquiries, reach out via Telegram.

Frequently Asked Questions

What does Block AI's research cover?+
Block AI publishes data studies on X (Twitter) growth mechanics — primarily follow-back rates, time-to-reciprocation, and how targeting parameters affect follower growth outcomes. All data comes from production follow actions executed by GeniusX Follow and CloneX Follow across active subscriber accounts.
What is the X follow-back rate for crypto accounts in 2026?+
According to Block AI's July 2026 data, the overall follow-back rate across 76,168 targeted follows was 8.36%. With quality filtering applied (rejecting accounts with fewer than 100 follows or a following/follower ratio below 0.2), the rate rose to 9.69% — a +25% relative improvement.
How does targeting affect the follow-back rate on X?+
Following count is the strongest predictor: target accounts following 10,000+ others reciprocate at 26.9%, versus 2.5% for accounts following under 100 — a 10× spread. The follower/following ratio is the second strongest signal, with a 0.5–2 ratio correlating with 12.7% follow-back rates.
How fast do people follow back on X (Twitter)?+
Block AI's July 2026 report found a median follow-back time of 3.9 hours. 84% of all follow-backs arrive within 24 hours. After 48–72 hours, the probability of reciprocation drops sharply — follow-back is fast or it does not happen.
How can I cite Block AI research?+
Each report page includes a citation block at the bottom. Use the canonical URL of the specific report (which never changes between editions) for stable academic or journalistic citations. For press or partnership enquiries, reach out via the BlockAI Telegram.