AI Assistant traffic reached 205 sessions with 2 trial conversions, marking its establishment as a measurable discovery mechanism. This represents users finding The Padel School through ChatGPT, Perplexity, or similar tools when researching padel coaching. As AI-mediated search grows, optimising for LLM citations through structured content and authoritative positioning will capture this emerging audience segment. Monitor growth trajectory and conversion quality.

1,907 direct sessions converting 23 trials indicates returning visitors, branded searches, or offline discovery not captured in referral attribution. Direct traffic typically demonstrates higher intent and familiarity, with visitors already aware of The Padel School value proposition. This segment's contribution suggests brand equity building, though dark social and attribution gaps may inflate these numbers. Cross-reference with branded search volume to validate true direct interest.

Combined organic and paid social totalled 1,075 sessions but converted only 8 trials, a 0.7% rate that lags other channels significantly. Platform fragmentation across Facebook, Instagram, LinkedIn and others dilutes focus and budget efficiency. Concentration on the single best-performing platform with audience intent closest to subscription purchases would improve ROI. Social may serve awareness better than conversion, requiring attribution model adjustments.

£19,802.15 MRR across 1,022 subscribers yields £19.37 average revenue per user, establishing a baseline for cohort comparison and pricing decisions. This ARPU suggests most subscribers occupy mid-tier plans rather than premium offerings. Analysing plan distribution and testing upsell sequences to higher-value tiers could expand revenue without adding subscribers. Customer success touchpoints highlighting advanced features might drive plan migration.

While July showed MRR decline, the three-month trial surge of 401 versus 119 suggests significant new business entered in May-June that hasn't yet reflected in MRR due to trial periods and payment cycles. August and September should show deferred revenue recognition from this cohort. However, if these trials don't convert to paid subscribers at historical rates, the quarterly acquisition gains will prove hollow and waste marketing investment.

£1,909.21 new monthly business from 115 trials demonstrates that trial volume in the 150-200 range would balance current churn and stabilise MRR. This represents a 30-75% increase from July levels, achievable through conversion rate optimisation rather than dramatic traffic scaling. Focusing on landing page testing, offer refinement, and channel mix toward video and email could close this gap within one quarter.

Attribution data reveals stark quality differences: referral £160 LTV and email 100% conversion versus social channels' sub-1% rates. This hierarchy suggests that warm introductions and nurtured relationships convert better than cold audience interruption. Budget allocation should favour quality over volume, with referral programme investment and email list growth prioritised above paid social scaling. Quality channels compound through word-of-mouth while volume channels require continuous spending.

Email and direct channels likely benefit from last-touch attribution bias, receiving conversion credit for journeys initiated by search or video. Multi-touch and first-touch models would reveal these earlier channels' true contribution. However, last-touch data still proves email's effectiveness as conversion closer and direct traffic's brand strength. Balancing attribution models prevents over-crediting closers or under-investing in awareness channels.

Referral's £80 per trial budget signal indicates reasonable acquisition costs for this quality channel, with £160 LTV delivering 2:1 return. Comparing budget signals across channels would reveal efficiency differences and guide spend allocation. Channels with budget signals exceeding LTV destroy value, while those below create margin. Calculating budget signals for search, social, and video would enable data-driven investment decisions.