How to draft campaigns using Xpert Assistant AI

Updated September 4, 2026

TL;DR: Most CRM platforms now ship agentic AI, but in iGaming, autonomous execution without regulatory guardrails is a compliance liability. Xtremepush's XpertOS combines a natural language interface (Xpert Assistant) for segment discovery and copy drafting, visual workflow building via Xpert Flows, and a governed data layer that enforces self-exclusion, responsible gambling rules, and jurisdictional licensing independently of any AI decision. Human approval gates in the Control Room keep your team in control. This guide covers the three inputs Xpert Assistant needs for a usable brief and the five-step workflow from objective to go-live. Kwiff doubled user numbers while reducing manual campaign work from 100% to 50% of daily tasks after automating journey streams.

Your CRM team spends more time moving data between systems than designing retention strategy. A single multi-channel retention campaign requires a CDP export, a list import into your email tool, a separate SMS sync, a push notification scheduled in a third system, and a manual report stitched together in a spreadsheet. By the time the campaign fires, the live match has ended. The player has already churned.

XpertOS changes this. We embed autonomous AI agents directly into Xtremepush's unified CRM platform, letting you discover segments, draft copy, and map multi-channel journeys in minutes, all protected by a governed data layer and mandatory human approval gates at every step. This guide walks you through exactly how to use Xpert Assistant for AI campaign drafting, from brief generation through to go-live.

How to move from manual campaign assembly to AI drafting

The sections below compare AI-assisted drafting against manual campaign assembly and outline which specific tasks Xpert Assistant can handle.

AI drafting vs. manual campaign creation

Traditional campaign assembly follows a predictable and costly sequence: export a segment from the CDP, import it into the email platform, sync a separate SMS list, schedule push notifications in a third tool, then reconcile performance data across all three systems afterwards. Each step introduces delay, manual error risk, and compliance exposure.

XpertOS changes this architecture entirely by running segment discovery, copy drafting, journey mapping, QA compliance checks, and human approval inside one interface on a unified data layer.

Table 1: Campaign workflow, before and after XpertOS

Manual process bottlenecks to audit in your current retention workflow:

Run this checklist against your current stack before adopting any agentic tooling. Every "yes" is a direct cost to campaign velocity:

• Do you export segments from one tool and import them into another for any campaign type?
• Do you write or copy-edit campaign briefs and body copy outside your CRM platform?
• Do you configure push, email, and SMS in separate interfaces for the same campaign?
• Do you rely on overnight batch syncs before triggering lifecycle or milestone messages?
• Do you manually check suppression lists (self-excluded players, responsible gaming flags) before each send?
• Do you reconcile performance data from multiple dashboards after a campaign ends?
• Does a compliance reviewer sit outside the campaign tool, requiring a separate sign-off process?

If you checked four or more, your team spends more time on campaign administration than on retention strategy.

Superbet automated 50 daily campaigns into two journey streams with 25 steps each, freeing their CRM team to focus on strategy rather than execution.

Campaign tasks Xpert Assistant can handle

Xpert Assistant translates plain English into complex segments, campaign briefs, and multi-channel copy without requiring data science support or manual exports. Specific tasks include:

• Segment discovery: Query live player data using conversational prompts, directly against the real-time CDP rather than yesterday's batch export.
• Campaign brief generation: Describe the objective and target cohort, and get a structured brief with recommended channel mix and timing logic.
• Copy drafting: Generate subject lines, pre-headers, and body copy with iGaming context drawn from the campaign objective and segment characteristics.
• Journey mapping: Draft multi-channel workflow logic for Xpert Flows, including routing logic when a player's channel consent is not recorded.

This distinction matters. When an agent drafts a campaign asset, the governed data layer applies compliance rules before the draft reaches your screen. When an approved workflow executes automatically, it still runs within the boundaries you define, with human approval checkpoints accessible from Xpert Flows at every stage you configure. Both differ from fully autonomous execution without oversight, which XpertOS deliberately does not permit. The XPert Summit 2025 keynote covers why this distinction matters for regulated operators.

How to generate campaign briefs with Xpert Assistant

The examples below walk through two common brief types and list the inputs Xpert Assistant needs to produce a usable output.

Creating a VIP reactivation brief

A player who has been inactive for 14 days but carries a high predicted LTV represents a high-value intervention opportunity in your lifecycle programme. Building this segment manually requires querying behavioural data, cross-referencing churn propensity scores, and suppressing players already in an active nurture journey.

In Xpert Assistant, you describe the goal in plain language: "Find players who haven't placed a bet in 14 days, are in the top 30% of predicted LTV, and haven't received a reactivation message in the last seven days." The assistant queries the real-time CDP, applies the suppression logic, and returns a segment with a size estimate and recommended channel split. Real-time processing delivers these interventions while the player is still in-session. The trade-off is that you need to design your trigger conditions and suppression rules in advance, because you cannot customise offers mid-session once the workflow executes.

From there, Xpert Assistant generates a campaign brief covering the reactivation objective, the recommended lead offer based on the cohort's historical response rates, suggested timing relative to the next major live event in their preferred sport, and a channel sequence starting with push and falling back to email. XpertOS AI agents use InfinityAI's churn prediction models across 7, 14, 28, 90, and 180-day horizons to target players at the right intervention window.

Building a first-deposit conversion campaign

Players who delay their first deposit often fail to convert. Ask Xpert Assistant to "draft a brief for registered users who haven't made their first deposit within 24 hours, targeting conversion within the next 24 hours via push and in-app message." The agent builds the segment from live registration and deposit event data ingested via the PAM backend and frontend SDK, then drafts a brief that includes a suggested welcome offer, a three-step message sequence with timing logic, and channel preference rules based on consent status.

The Clicklogiq case study shows what fast brief-to-live execution looks like in practice: their team went live with their first campaign within one month of signing, achieving a 529% increase in trading activity from web push versus SMS.

Defining the required inputs for AI campaign drafting

To get a high-quality output from Xpert Assistant, provide three inputs clearly:

1. Campaign objective: State the specific outcome, such as "reactivate players dormant for 14 days" or "convert registered users to first-time deposit (FTD) within 48 hours." Vague objectives produce vague briefs.
2. Baseline offer: Specify the offer type, whether a free bet, deposit match, or XP Gamify spin wheel reward. Xpert Assistant pulls the live bonus list from your bonus engine automatically, but needs to know which offer category to prioritise.
3. Channel preferences: Tell the agent which channels to include and in what order. The agent applies consent checks automatically, but your preference order shapes the journey structure.

How to speed up email drafting with AI prompts

The sections below cover how Xpert Assistant generates email copy, how outputs are tailored to individual segments, and how regulatory compliance is checked before any draft reaches you.

Generating subject lines and body copy

AI copywriting tools in XpertOS generate contextually relevant subject lines and body copy based on player attributes like preferred sport, historical engagement patterns, and live event context, keeping the drafting workflow inside the platform rather than across separate tools.

Tailoring AI outputs to player segments

Xpert Assistant builds copy based on the segment characteristics defined in the brief. A sports bettor who primarily wagers on live in-play markets receives copy referencing live betting mechanics. A casino player whose session data shows a preference for slots receives copy referencing game releases or spin-based rewards via XP Gamify. Tone and offer type both adjust to the segment profile.

Auditing AI drafts for regulatory compliance

Before any AI-generated draft reaches you for review, the QA Agent inside Xpert Crew runs a compliance check against responsible gambling messaging standards and jurisdictional copy rules for your markets. The CRM Manager reviews drafts after QA checks but must approve before execution, which reduces review time and the risk of human error on a high-volume campaign day. Full audit trail documentation covers every agent action from segment build to QA check, giving compliance teams the visibility they need for regulatory review.

How to set channel rules for AI-driven workflows

The sections below cover how to configure multi-channel delivery rules, set up reusable campaign templates, and automate campaign delivery scheduling within XpertOS.

Setting up email, SMS, and push notifications

Multi-channel campaigns require careful coordination of timing, fallback logic, and consent rules across email, SMS, and push. Xpert Flows is the visual workflow builder within XpertOS where you configure multi-channel delivery rules, timing logic between steps, and the conditions that trigger a fallback path.

A multi-channel setup for a VIP reactivation journey might include a push notification first, followed by email if the push goes unopened, then SMS if the email goes unopened. The governed data layer enforces consent rules automatically. Players on self-exclusion registers or those who haven't consented to specific channels are suppressed regardless of what your journey logic specifies. The trigger campaigns on consent change documentation covers how the platform responds when a player's consent status changes.

Automating AI campaign drafting

For recurring campaigns such as weekly Premier League previews or monthly VIP check-ins, campaign templates let you configure a reusable structure that can be updated with fresh content at each campaign cycle.

Automating AI campaign delivery schedules

Xtremepush lets you schedule sends by each user's timezone so messages land at a consistent local time rather than a single batch time across the segment. Separately, triggered campaigns support delivery windows that restrict sends to specific days and hours in a designated timezone. This keeps delivery timing player-specific without needing a separate scheduling tool per channel.

The stakes for timing accuracy are significant. In-play betting accounted for over 62% of online sports betting globally in 2025, and DraftKings confirmed in early 2025 that in-play wagers crossed 54% of its total handle. A player who receives a live betting prompt 20 minutes after a match starts, because their CRM runs overnight batch processing, has already bet or churned. Real-time event processing delivers notifications at the moment of relevance, a response window only achievable on a platform that processes player events in milliseconds.

How to schedule triggered messages with Xpert Assistant

The sections below cover how to configure real-time reward triggers, set up churn intervention journeys, and verify trigger logic before a campaign goes live.

How to configure instant reward rules

You preserve the emotional context of a player's achievement when the reward arrives at the moment of the behaviour, not hours later. Real-time trigger configuration for XP Loyalty missions and XP Gamify rewards works because the loyalty engine and CDP share the same data layer: when a player completes a qualifying action, the event fires from the PAM backend, the unified data layer processes it in milliseconds, and the reward notification reaches the player while they are still in-session.

In Xpert Assistant, you configure these triggers by specifying the qualifying event (bet settled, deposit completed, mission step achieved), the reward type (XP Gamify spin, XP Loyalty token credit, bonus engine trigger), and any eligibility conditions such as minimum bet size or market type.

How to set up churn triggers in minutes

Churn prediction in XpertOS uses InfinityAI's propensity models across 7, 14, 28, 90, and 180-day horizons. When a high-value player's session frequency drops measurably below their personal baseline, the model flags the churn signal and Xpert Flows triggers an automated intervention journey.

Ask Xpert Assistant to "set up a churn trigger for players in the top 25% by gross gaming revenue (GGR) whose session frequency has dropped more than 30% in the last seven days, excluding players already in an active retention journey." The agent builds the segment, drafts the intervention copy, and maps a three-step push-email-SMS sequence in Xpert Flows. The CRM panel session covers how operators shift from reactive churn management to proactive early intervention.

How to verify AI campaign triggers before go-live

Before any trigger-based campaign goes live, the Control Room presents the complete configuration for human review: the segment definition, suppression list logic, channel fallback rules, and the QA Agent's compliance report. You confirm that the trigger conditions pull the correct player cohort and that exclusion logic applies as intended. This review step is mandatory for responsible gambling triggers, where a false positive creates both compliance risk and potential player harm.

How to launch campaigns faster using AI assistants

The end-to-end XpertOS workflow runs as follows, with a human decision point or automated compliance gate at every step:

1. Step 1: Define your campaign objective. Tell Xpert Assistant your goal in plain language: the target cohort, the desired outcome (reactivation, FTD conversion, loyalty tier progression), and the offer type. The XpertOS getting started guide covers how to frame objectives for maximum output quality.
2. Step 2: Refine automated copy flows. Review the AI-generated copy, subject lines, and pre-headers in the draft view. The QA Agent has already applied compliance checks before this draft reaches you. You can edit any element directly in the interface.
3. Step 3: Map automated journey paths. Xpert Flows presents the visual multi-channel journey for review. Confirm the channel order, timing logic, and fallback paths. The builder shows the approval gate checkpoint where the journey pauses for human sign-off.
4. Step 4: Configure triggered campaigns. Set the real-time event triggers that activate the journey, pulled from PAM backend event streams. For in-app campaigns, configure event-based filters (server event, SDK event, or session start) so the message fires on a specific condition rather than on every app open.
5. Step 5: Final QA and campaign live. Review the complete campaign configuration including segment definition, copy variants, journey map, and estimated reach. No campaign reaches the activation layer without an explicit human approval at this step.

How to automate campaign creation for CRM teams

The sections below cover how unified data supports campaign decisions, how Xpert Assistant handles segment creation, and how compliance and approval workflows operate inside XpertOS.

Unifying the dashboard for campaign creation

The operational advantage of having CDP, CRM, XP Loyalty, and XP Gamify on a single data layer is that every campaign decision uses the same player state. When a player completes a mission in XP Loyalty, that event updates the unified player profile in milliseconds and is immediately available to the next campaign trigger, the churn model, and the responsible gambling risk score. There is no reconciliation between what the CDP says about a player and what the loyalty system says.

Braze and Iterable both ship agentic AI layers (Agent Console and Operator went GA in April 2026, Nova Agent the same month), but neither provides native iGaming-specific loyalty or F2P instant-win mechanics. If you use those tools, you need separate vendors for XP Loyalty and XP Gamify equivalents, which means an external sync call every time a mission completion or spin wheel result should trigger a reward. That external sync reintroduces the latency problem our unified data layer eliminates. The trade-off of a unified platform is vendor lock-in risk. We mitigate this with flexible deployment options, including private cloud deployment that gives you control over data location and infrastructure if you ever need to migrate.

Automating segment creation for campaigns

Xpert Assistant's natural language interface translates conversational prompts into structured queries against the unified data layer. A CRM coordinator who understands the campaign goal can describe what they need in plain English, and the interface builds the query. Segment errors propagate through every channel in a multi-step journey, so getting the logic right at source matters. The XpertOS iGaming CRM practices guide covers segment design patterns for common SBG retention use cases.

"I really appreciate Xtremepush's real-time user segmentation engine. It lets me create user segments quickly and efficiently without having to manually go through tons of data in Excel... the template library is incredibly useful. It allows me to quickly customize alerts to match our game's themes without needing any coding support." - Verified user on G2

Ensuring compliance in AI drafting

Our governed data layer enforces compliance rules before any campaign reaches activation:

• Self-exclusion suppression: Players on self-exclusion registers are blocked from all promotional sends at the engine level, regardless of what the agent drafts.
• Responsible gambling flags: Players flagged by the PAM backend as at-risk have promotional messaging suppressed across all channels until the flag clears.
• Consent enforcement by channel: If a player hasn't consented to a channel, the system blocks that send regardless of what the journey logic specifies, no matter which regulated market the operator serves.

This is architectural enforcement at the engine level, not a soft filter a misconfigured agent can bypass. The compliance design for XpertOS means operators facing UKGC scrutiny get the regulator-ready documentation that manual campaign management cannot produce consistently.

Managing approval workflows for AI drafts

The Control Room is the governed environment where Xpert Crew operates and where all AI outputs require human sign-off before activation. XpertOS logs every autonomous agent action with a full audit trail: which behavioural signals triggered the segment, which agent built it, which QA checks ran, and which human approved it before dispatch. Role-based access controls mean AI agents only operate within the permissions you define. A typical setup assigns the CRM Manager as primary approver, the Data Engineer as integration owner, and read-only access to compliance stakeholders who need audit visibility.

Editing AI-generated campaigns manually

AI-generated elements in XpertOS are editable. You can override subject lines, body copy, segment logic, channel order, timing rules, and offer types directly in the interface.

Comparing XpertOS compliance and execution capabilities:

Comparing onboarding and integration:

Braze and Iterable carry agentic execution but no native iGaming loyalty or gamification, so operators using either platform require separate vendor integrations for XP Loyalty and XP Gamify equivalents. The Fast Track alternatives comparison covers this breadth question in detail for operators evaluating native capability.

Campaign drafting no longer means moving data through five disconnected tools before a message goes out. Xpert Assistant handles segment discovery and copy drafting, Xpert Flows handles the multi-channel journey, and the governed data layer enforces compliance at every step, all inside one interface with mandatory human sign-off before anything reaches a player.

Book a demo to walk through the campaign drafting workflow using your player data with a dedicated account manager who knows the iGaming vertical.

FAQs

Does Xpert Assistant require coding knowledge to build segments?

No. Xpert Assistant's natural language interface translates conversational prompts into complex segments automatically, so you describe what you need in plain English and the agent builds the query against the real-time CDP.

Can XpertOS send campaigns to players without human review?

No. XpertOS enforces mandatory human approval gates in the Control Room, meaning no campaign can go live without explicit sign-off from your team, and the governed data layer applies compliance rules independently of any agent decision.

How long does it take to integrate Xtremepush and go live?

Onboarding with Xtremepush typically takes six to eight weeks, covering PAM data mapping, SDK integration, channel configuration, and strategic account setup, with a dedicated account manager included at no additional cost for all operators.

How does XpertOS differ from Optimove's OptiGenie and Fast Track AI?

All three platforms now ship agentic execution layers. XpertOS enforces compliance at the governed data layer level, independently of AI decisions, and that architecture is publicly documented. Optimove enforces compliance too, but the specifics of how their compliance layer interacts with agent decisions are not publicly detailed. Xtremepush also provides native XP Loyalty and XP Gamify on the same data layer, whereas Optimove completed integration of their acquired gamification engine in October 2025.

What happens if the AI generates copy that fails a compliance check?

The QA Agent inside Xpert Crew checks every output against regulatory rules before it reaches draft status in the Control Room. Drafts that fail compliance checks are flagged for review, and the issue is logged in the audit trail.

Can XpertOS be used alongside an existing CRM?

Yes. Many operators start with XP Gamify or XP Loyalty while keeping their existing CRM, then expand to the full Xtremepush platform as they see results. You choose only the modules you need and add more once you've proven ROI.

Key terms glossary

XpertOS: An agentic CRM OS that embeds autonomous AI agents into the Xtremepush platform to discover segments, draft campaigns, and execute workflows, with human approval gates and compliance enforced at the engine level.

Governed data layer: A compliance-first architecture that applies responsible gambling flags, self-exclusion rules, consent records, and jurisdictional licensing logic independently of any AI agent decision, before any output reaches the activation layer.

Xpert Assistant: The natural language interface within XpertOS used by CRM Managers for segment discovery, copy drafting, and campaign brief generation without requiring SQL or data science support.

Xpert Flows: The visual workflow builder within XpertOS where you configure multi-channel delivery rules, fallback logic, and human approval checkpoints for AI-drafted campaign journeys.

Xpert Crew: The team of autonomous agents within XpertOS that operate inside the governed Control Room, including the QA Agent that checks every AI output for compliance and brand alignment before it reaches draft status.

QA Agent: The specialised autonomous role within Xpert Crew that checks every AI-generated campaign output against brand guidelines and regulatory rules before it reaches your approval queue.

Control Room: The governed environment where Xpert Crew operates and where all AI-generated campaign drafts, segments, and workflows require explicit human sign-off before activation.

PAM (player account management): The backend system that stores player account data including deposits, withdrawals, bet outcomes, and responsible gambling flags. Xtremepush ingests this data via API or Kafka in real time to power the unified data layer.