Background
TicTacBets approached me in early 2026 with a familiar shape of problem. A capable in-house team with the operational muscle to execute, but without a coherent commercial framework tying acquisition, retention, and monetisation into one engine. Paid was running. SEO existed. CRM was sending campaigns. Affiliates were on the platform. None of it was being measured against a unified growth thesis, and the cumulative result was a marketing operation that worked but did not compound.
The brief was specific: build the framework, leave the execution to the in-house team. Growth Foundation tier - strategy and framework, not fractional CMO embedment. The fit was right because the team had the capability to execute; what they needed was a clear thesis, the right diagnostic, and a measurement framework that surfaced where the leverage actually was.
The diagnostic - what surfaced in the first three weeks
Two weeks of audits and stakeholder calls produced the usual mix of expected and unexpected findings.
Persona work was thinner than the team realised. The acquisition machine was running against three loosely-defined player segments that had been drawn up two years earlier and never substantially revisited. Behavioural data from the platform suggested at least two of those three segments had drifted significantly from their original definitions, and one segment had effectively split into two distinct player profiles with materially different lifecycle economics. The CRM team had been running campaigns against personas that no longer matched the actual player base.
The full-funnel measurement was actually channel-specific measurement stacked together. Paid had its own attribution. Affiliate had its own dashboards. SEO had its own reporting. CRM measured campaign-level lift but not lifecycle position. There was no single view that let leadership see how a player acquired through one channel performed against a player acquired through another at day-30, day-90, and day-180. That gap meant channel-mix decisions were being made on volume metrics rather than economics.
SEO health was better than expected, but recovery was leaving authority on the table. Organic traffic was healthy in absolute terms, but the back catalogue of older content had material technical debt - outdated information, broken internal linking, schema gaps, and a handful of pages that had ranked once and were drifting. The team had recognised the issue but had not had the strategic framing to prioritise the recovery work properly.
The framework being built
Phase Two of the engagement is the framework build, in flight as of writing. The shape of what is being deployed:
AIDA-led acquisition strategy. A unified acquisition thesis built around the four-stage funnel - Attention, Interest, Desire, Action - with each channel mapped to its primary funnel stage rather than being run as a parallel acquisition silo. Paid social anchors at Attention and Interest. SEO carries Interest and Desire. Affiliate operates predominantly in Desire and Action. CRM owns post-Action retention. The discipline of mapping every channel to its primary stage forces honest conversations about where each channel actually creates value, which had been blurred by the previous "everything acquires players" framing.
Persona refresh and segmentation rebuild. The three legacy personas have been retired. Five new personas have been drawn up from behavioural data, with explicit definitions covering lifecycle position, primary games, deposit behaviour, retention curve, and channel responsiveness. CRM segmentation is being rebuilt against the new personas, with dynamic segment refresh built into the architecture so the segments do not drift again over the next twenty-four months.
SEO recovery roadmap. Prioritised list of technical fixes, content updates, and authority-building work. Not all SEO work has equal commercial value; the roadmap separates the work that drives revenue from the work that drives traffic vanity, and prioritises accordingly. The team executes; my role is roadmap and review cadence.
CRM lifecycle and retention flows. Welcome series, second-deposit nudge, dormancy reactivation, win-back, and VIP progression flows being rebuilt against the new personas with measurement built into each stage. The previous CRM operation was running campaigns that worked at the campaign level but had not been examined as a system; the rebuild treats CRM as one continuous lifecycle journey rather than a campaign library.
Affiliate channel structure. Quality-tier framework for affiliates, with commission models calibrated to traffic quality rather than volume alone. The legacy programme treated all affiliates roughly equivalently; the rebuild segments affiliates by player-quality cohort and rewards quality over volume.
KPI alignment and reporting cadence. Single dashboard for leadership covering the metrics that matter - CAC, LTV, day-30 retention, day-90 retention, NDP-to-FTD conversion, dormancy rate, and channel-quality differentials. Bi-weekly performance calls, monthly deep-dive growth review.
Where the engagement sits today
Month three of a six-month suggested engagement. The diagnostic is signed off. The framework documents are live. The first cohort of acquisition data under the new measurement framework is starting to surface useful directional information about which channels are actually generating durable players versus generating volume. The team has the playbooks; my role is now review, course-correction, and ensuring the framework actually operationalises rather than sitting in a Google Drive folder.
What the engagement looks like at month six, and what compounds beyond it, will be added to this case study as the data lands.
Why this engagement structure works
Three principles from this engagement that apply more broadly to operators considering similar work.
The right engagement structure depends on team capability. TicTacBets has a capable in-house team, which means a Growth Foundation tier was the right fit. Operators with weaker execution capability need fractional CMO involvement; operators with stronger strategic leadership in-house need narrower scopes. Forcing the wrong engagement structure onto a team consistently underperforms.
Diagnostic before framework, framework before execution. Operators that try to compress the diagnostic phase and jump straight to "what should we do" consistently end up rebuilding frameworks against the wrong problems. The two-week diagnostic is not optional padding; it is the work that determines whether the next four months of framework build is pointed at the right targets.
Channel-by-channel optimisation rarely beats full-funnel coherence. Operators with siloed channel teams optimising independently almost always have lower aggregate performance than operators with unified full-funnel discipline. The aggregate lift available from getting the channels working as one engine is consistently larger than the lift available from squeezing more performance out of any individual channel.