The 6 Most Common Social Gaming Personas and How to Engage Them
Social gaming is an incredibly complex space. Using data from 235 million players, we broke it down into 6 personas that will help you plan the right campaigns for your audience.
Identifying The Most Common Social Gaming Personas
Effective retention is based on knowing your users well. This is especially true for the Social Gaming space, where games are equally accessible to paying and non-paying players, making players’ behavioral patterns and lifecycle stages especially complex. Non-spenders usually represent more than 90% of the player base, while the remaining 10% bring in the actual income. When planning CRM campaigns in the social gaming space, these unique characteristics should be taken into consideration to effectively engage and retain players.
In this post, we will present a number of common social player personas, along with some suggestions of how to best interact, engage and convert them. Our research is based on the various personas discovered in the data of prominent social gaming operators using Optimove. We’ve tracked 235 million customers over 18 months, through a few hundred billion sessions and half a billion transactions.
1. New, Non-Spender
These are players who registered during the last 14 days and haven’t made a payment yet. This two-week incubation period is crucial: while in other industries the first payment will usually take place on day of registration, in the social gaming industry only 24% of players make their first payment on the day they register. A full 44% of players won’t make their first payment for more than a week after registration, and 24% of players wait for four weeks or longer, as shown in the chart below:
Insights and Actions
The goal with this segment is conversion. It is critical to quickly engage New Non-spenders during the first few days after registration, with the goal of motivating them first to become highly active, and only then trying to push them towards their first deposit. Patience is key here. The strategy should be brand awareness and building, content marketing based on gameplay behavior, and only then a push for first payment.
This is also a good place to use predictive models to discover consumer surplus and discover the payment sweet spot for each player. Bear in mind that the data also shows a direct correlation between the activity levels of New Non-spenders and the likelihood of them converting to paying players. New Non-spenders with higher activity levels are worth more to the gaming operator, on average.
2. New, Spender
The New Spender is a player who is within a specific initial period (typically 14 days) from making a first payment. The first days after the initial payment are a critical time from a marketing perspective, as 39% of players who make a second payment will do so within one day, and 64% will do so within one week.
Insights and Actions
According to our data, New Spenders who convert quickly (up to two days after registration) have a higher LTV compared to later converters. Be aggressive during this period and make sure the game experience is good. Gamified campaigns can work here (for example: three payments over three days will open bonus stages on day four), and so can “welcome packages”.
It’s important to view New Spenders as being in an “incubation” stage. During this stage, provide them with offers that will encourage them to become Active Spenders. One way to do this is to provide different incentives to players based on their previous activity. For example, players who were very active before their first payment should receive enticing offers, like gamified campaigns and messaging, that will help them understand the added value they receive by being paying players.
Players who had no previous activity before their first deposit should be addressed differently. These players have not yet achieved brand awareness, and are probably not completely familiar with the product. So, while you should push very active players towards making their first payment, in this case it is better to make sure the players are first fully engaged with the product.
You should also be aware that if the two-week time window passes without any additional payments, the cost of reactivation is usually equivalent to acquisition costs.
3. Active, Spender
Active Spenders are financially active players who made at least two payments on different days during the past 14 days. Our data shows that an extreme version of the Pareto Principle exists in social games, as the top 10% of players bring in 75% of a game’s revenue. The top 5% brings in 55% of revenue, and the top 1% of spenders – the biggest of the big whales – bring in a whopping 30% of revenue.
Insights and Actions
Since 5% of active players bring in 55% of monthly deposit amounts, operators must monitor their activity on a daily basis, and contact them after important events (big wins, big losses, levels changes, etc.) Make sure these players are aware that they are VIPs (if you don’t have a VIP plan in place, this is absolutely your top priority!) VIPs should get limited edition or special games access, event invites, gifts and an overall personal touch.
In addition, tracking the highest achieved tier of each player is also important. Players who used to be part of the 5% group but are no longer there need to receive better treatment, since they still have a high potential.
4. Active, Non-Spender
Active Non-spenders (often called “Active Gamers”) are players who made at least one payment, have still been active recently, but have not made a payment in more than 21 days. This is a problematic group and it must be addressed: either the players in this segment will churn very soon, or it signifies a problem in the game’s economy.
Insights and Actions
The goal with this segment is to push to the next payment, as the likelihood of churn decreases post-payment. If a player has made one payment, they have a 0.8% chance of making another one. The more payments a player makes, the greater their chances of making subsequent payments.
To understand the potential of these players, we recommend using payment activity segmentation based on three attributes: days since last payment, number of payments and payment amount. This segmentation identifies recently high tier payment “churned” players, long time since last payment low tier players and so on. In other words, the amount of past payments reflects a players’ likelihood to pay in the coming month, and the potential of loss in case of churn.
Players who were high tier payers and have recently stopped paying should receive stronger offers, with bonuses for higher payments. On the other hand, players who stopped paying a long time ago should receive lighter offers that will hopefully drive them to make another payment.
Also, note that some of these players may be in risk of churn. You can incorporate this logic into the identification of players in risk of churn and try to engage them to play first, before aiming for another payment.
5. Churn, Spender
Churn Spenders are players who have paid in the past and didn’t play or pay during the past 21 days.
Insights and Actions
The goal with this segment is reactivation. There are lots of low hanging fruit in the Churn Spenders segment. It’s important to address both churn longevity and activity tier pre-churn to identify the future potential of each player within this group.
Another parameter to watch is whether this is the first time a player has moved to the Churn Spenders lifecycle stage. By looking at the number of visits to the Churn LCS we can estimate whether each player is in actual risk of churning and never coming back, or whether they are only taking some time off. Players who are at this stage for the first time need to get stronger promotions compared to players who have already churned a few times.
Seniority is another telling factor. Players who’ve churned after 90 days are more likely to re-engage, compared to players who stayed with the game for a shorter or longer time. Ninety days is the peak duration, since players who have lasted that long have a deep brand awareness on the one hand, and have probably not played long enough to go off the game completely on the other. After 90 days of inactivity, likelihood of reactivation drops dramatically, and it’s worth considering trying to cross-sell other titles instead of reactivating.
6. Reactivated, Spender
Reactivated Spenders are players who made a payment in the past, churned and played OR payed recently. These players should be considered “re-born.” The data shows that most of these players will churn again within two weeks of their reactivation activity and therefore need to receive more attention and be closely monitored.
Insights and Actions
The goal here is to re-incubate the players in order to keep them active for as long as possible. There is an important distinction here between players who were reactivated by paying, and those reactivated by playing. The former will usually survive in higher rates compared to the latter.
Another important distinction is between veteran and new players who reactivated. The former group doesn’t need a re-introduction to your brand and product, while players who churned a long time ago or had lower seniority probably need to readopt their brand awareness and therefore should receive messaging of a different nature.
Conclusion
The social gaming space is extremely competitive, requiring marketers to closely analyze player behavior and look for ways to increase engagement, loyalty and retention. Social gaming operators need to communicate with their players intelligently by carefully segmenting and targeting each one according to his or her particular affinities and preferences.
Understanding and using the different behavioral patterns observed among social players can help marketers communicate with them more effectively, thereby increasing player engagement – and revenue.
Moshe Demri leads Optimove’s global revenue team and is focused on helping clients optimize their customer retention plans and their use of the Optimove software. Moshe has vast experience consulting clients as a data scientist, analyzing their customer data and revealing actionable, data-driven marketing insights. Moshe holds a BSc in Industrial Engineering and Management, specializing in Information Systems.
