500,000 Views on Twitter in 3 Months: Influencer Marketing for Betmode’s Gambling Platform

We started by reviewing all the initial materials: the client’s brief, product, and goals. Together, we discussed the key objectives. For competitor analysis, we focused on the projects the client had pointed to as references — well-known names in the iGaming and Web3 segments.

Using brand analytics, we looked into which influencers had promoted these platforms, what their posts looked like, and what kind of offers they used. This research led us to two key insights:

• You can quickly reach the right audience by working with the same influencers.
• Their audience is already familiar with similar products and open to engaging with them.

Based on this analysis of the materials, market, and competitors, we proposed a solution that allowed for a fast and targeted market entry: through trusted crypto influencers on Twitter.

We also considered launching through streamers to boost engagement, but the client chose to focus entirely on Twitter and influencers.

Based on our competitor and target audience analysis, we built a pool of Twitter influencers. We vetted each one by reach, engagement rate (ER), cost per mille (CPM), and the quality of interactions under their posts — making sure they had real engagement, not fake activity.

The final list included:

• Influencers who had already worked with Betmode’s competitors — allowing us to immediately tap into an audience familiar with iGaming and Web3 products.
• Trusted bloggers from our own database, with whom we had successfully collaborated on related projects. These were Twitter influencers operating at the intersection of crypto, Web3, and gambling communities, with active and engaged audiences.

We shared the list with the client, providing comments on each influencer. Together, we discussed who would be the best fit for the launch goals and finalized the approved pool.

At this stage, the client received a full influencer list with audience reach and expected metrics. Most importantly, it gave access to an audience perfectly aligned with Betmode’s product: experienced Web3 gamers and crypto enthusiasts.

Once the influencer list was approved, we moved on to building the media plan. The core idea was to evenly distribute the budget and schedule multiple posts with each influencer. This allowed us to test different formats and see which influencers truly resonated with the audience. Plus, having multiple posts made the content feel more like a genuine recommendation than a one-off ad — which helped build trust and boost engagement.

The total campaign budget was $14,000. We negotiated all terms with the influencers in advance — including rates, post volumes, and publication schedules.

Each influencer was set to publish 3 to 4 posts. This approach allowed us to test different formats and messaging, monitor consistency in performance, and identify the strongest partners for potential future collaborations.

The media plan included:

• a detailed posting schedule;
• budget allocation per influencer;
• reach, ER, and CPM forecasts;
• checkpoints to track progress.

The client received full transparency: who was posting, when, and at what cost. This gave them confidence in the process and a clear understanding of how the budget was being spent at every stage of the campaign.

At this stage, we prepared all the content for launch — post copy and graphics. We drafted tweets tailored to fit the platform’s specifics: short, to-the-point messages written as personal recommendations, so they would feel natural and blend organically into users’ feeds.

At the same time, our designers created banners. The client suggested a few edits, we updated the designs, finalized the layouts, and handed over the ready-to-use content to the influencers.

As a result, the client received a full set of approved content without needing to involve their own team in the production process.

The campaign launched according to the pre-approved schedule. Posts went live on time, following the planned timeline. We closely tracked the key metrics: reach, engagement rate (ER), and cost per mille (CPM).

Most influencers performed within the expected ranges. The audience responded well to the posts, even though the client didn’t offer typical registration bonuses like free spins or cash gifts. We had factored in this limitation ahead of time and adjusted the strategy accordingly — focusing on in-game giveaways, referral mechanics, and prize offers within the platform.

The average engagement rate came in at 2.5%. We logged all results in a shared tracker and updated it after each post went live. The client had full real-time access to all performance data — broken down by influencer, post, and metric.

At the end of the campaign, we gathered full performance data for each influencer. For every one of them, we recorded total post reach, average engagement rate, and cost per mille.

We also reviewed all posts and highlighted the ones that delivered the best results. This helped us identify which formats and approaches worked most effectively.

The final report included:

• examples of top-performing posts;
• comparative stats across all influencers;
• recommendations to inform future campaigns.

We structured the report so the client could easily use it for planning the next stages. In the end, they received clear analytics and a ready-to-go working base: which influencers performed best, which content proved most effective, and where to focus moving forward.