Not enough trades can hurt your site. It messes with cash flow, makes it tough to buy and sell, and can shake up the market. But there’s a fix: grouping users. By splitting users into groups based on what they do, what they like, and how often they trade, you can send them the right messages, get them more involved, and up your trades.
Main Points:
- Troubles with Low Volume: Few trades drop cash flow, mess up prices, and pull down asset value.
- Why Grouping Helps: Right messages lead to more talks, more trades, and happy users.
- Ways to Group:
- By Trading Style: Day traders need quick news; long-haul users look for deep market info.
- By Where They’re At: New folks need help starting; quiet users need a push to come back.
- By Account Size: Big spenders want best care; casual folks go for easy tools.
- By How They Talk: Some like emails, some pick texts or alerts.
- Tools to Make Easy: Sites like InTrading use CRMs and automation to shape user profiles and plans.
By knowing your users and hitting their needs, you can get quiet users trading and pump up your site’s life.
How Grouping Users Helps Low Trade Numbers
Grouping users takes low trade numbers and turns them into chances by making plans that fit each trader. Instead of sending the same message to all and hoping it works, you can make focused efforts with special offers that hit the mark.
What Grouping Users Means
This means split your traders into small, clear groups based on common traits and acts. This method lets you know and meet their special needs better.
For trade sites, the key groups to look at are:
- Trading acts: How often they trade, what they like to trade, and how much they put in.
- Life stage: Where users are in their time with your site – new, busy, or not active.
- Account worth and how much they trade: Marking users who trade a lot from those who don’t.
- How they like to talk: Favorite ways to get updates and how often.
For example, a day trader doing 20 trades a week needs very different stuff than someone who holds on to investments for months. New users get help starting and learning, while old users want better tools and tips on the market.
Why Grouping Works
This way takes out the guesswork from selling and builds stronger ties with traders. Targeted email pushes, for example, always get more opens and clicks, which means more logins, more trades, and more money made per user.
Users stay longer when they feel heard. A trader who gets market info that fits their favorite trades will likely stick around more than one getting basic tips. Instead of using your money on wide efforts, grouping lets you focus on groups more likely to answer, making a better return on what you spend.
How CRM and Robots Help
New CRM tools and robots make it easy to scale up grouping. For example, InTrading’s CRM makes full user profiles by keeping track of logins, trade habits, and interaction with learning stuff.
Robots put grouping into action. If a once busy trader hasn’t logged in for two weeks, the system can start them on a comeback push. Once a user makes their first trade, they move from a “new user” group to “busy trader” and start getting stuff that fits their growing needs.
Managing many channels makes sure your words reach users where they will likely see them. A single push might send learning emails to new traders, updates on market chances to busy traders, and SMS about account acts to those who trade a lot.
The real strength is in live grouping, which changes as user acts change. For example, a casual trader who starts trading more can smoothly shift to a more grown-up group, getting content that fits their new level of action. With these robot tools ready, it’s time to check out successful grouping plans that boost trading moves.
Tested Ways to Sort Users
A smart sort plan can change low use into big interest. By using these four ways, you can shape your push to meet the true needs of each kind of trader. Let’s see how acts of trade, step in the user path, worth, and how they like to talk can make clear trader types.
Kinds Based on Trading Acts
Knowing how traders act lets you fix your way for each trader type. For instance:
- Day traders get a lot from quick alerts and fast news to jump on swift chances.
- Swing traders need deep market looks to choose well over more time.
- Scalpers want quick news to make lots of trades well.
What they trade and how often also count. Forex traders look at money pair gaps and big news, while stock traders care about cash reports and field moves. Plus, crypto traders need non-stop news due to their market’s all-day nature. Even when they trade is key – those who trade in set hours get different messages than those who don’t.
Kinds Based on User Path Stage
Each point in a trader’s journey needs its own help:
- New sign-ups get step-by-step start help and a push to add their first money.
- First-time money givers, who haven’t yet made a trade, can grow with trial runs, safe trade tips, and hints for small starts.
- Busy traders seek top tools, best research, and talks led by pros to do better.
- Not busy users can be pulled back with good-time nudges or deals to get them on the site again.
This path-based way makes sure your words fit where the trader is in their trip, making your reach out hit right and work well.
Kinds Based on User Worth
Worth-based sort helps aim your work at traders who bring in cash:
- High-worth traders should get best help, smaller fees, and alone tips to keep them happy.
- Growing traders, set for more action, can use top tools and learning stuff to keep going up.
- Steady but good traders are your base and they should get good help and ongoing talks.
If a once busy trader slows down, set "come back" plans can bring them back. By aiming at the groups that add most to your site, you can make the most of your push.
Kinds Based on Talk Wishes
Your way to talk should match each trader’s likes:
- Use deep emails for traders who want full looks.
- Send SMS or push callouts for those who need news fast.
- Change how often – some traders like news each day, while others might like just a wrap-up each week.
Also, fixing content to fit what analysis traders look for – be it tech charts, big market facts, or new news – makes sure your words hit home. Matching talk ways with trade acts makes the talk to your users more real and strong.
How to Use InTrading for Grouping Users
Grouping users well can change small trade amounts into high market play. InTrading makes this easy with tools built to help grouping and boost how users interact. By mixing CRM features with marketing tools, the platform lets you make campaigns aimed at getting users more active.
Getting Your Data and Triggers Ready
The AI Data Helper takes away the hard work of grouping by getting and sorting user data from many places. Begin by linking your trade platform’s API to InTrading’s all-in-one CRM. This link brings in up-to-the-minute data, like account money, trade records, what assets they prefer, how they use the platform, how often they log in, deposit acts, trade ways, and how they like to talk. What do you get? Auto-made, full user profiles.
After your data is ready, set up triggers to make grouping automatic. For instance, you can set a trigger to tag users as high-worth future users when they hit set acts but haven’t started trading yet. A trigger can also spot users with less trade acts and place them into a get-back-in campaign.
With up-to-date change tracking, the platform keeps your groups recent as user acts move – be it a change in how they trade or engage with the platform. This makes sure your talks stay on point and timely, setting you up to use ready-made work flows.
Work Flows Ready to Go
InTrading has ready-made work flows for common issues, saving you setup time.
- The new trader start-up chain starts when a user signs up but doesn’t put in first money. This chain sends a line of learning emails, with how-tos on the platform, basic risk tips, and beginner trading advice. For users who put in money but wait to trade, the chain shows parts of demo accounts and gives more help.
- For bringing back inactive users, a workflow kicks in after a period of no activity. It might start with custom alerts about market chances based on the user’s trade past and then update on new platform parts. If no activity goes on, the chain can go up to special offers to get the user back in.
- The keeping high-worth traders chain focuses on your top users. It gives them special things like market news, top help, and invites to online talks. The system watches user action and tells your team when a personal touch might be needed.
All chains come with built-in A/B tests, letting you try out subject lines, timing, and content changes to see what works best with your users. Once these work flows are active, you can send aimed messages smoothly across many ways.
Using Many Ways to Talk
InTrading’s way of using many channels makes sure that your grouped messages get to users the way they prefer, while keeping your message the same across platforms.
The platform mixes email, push notes, and SMS campaigns to send tailor-made messages based on user likes. You can turn on certain ways for each campaign depending on what fits best for each group.
Push alerts work well for updates that need to be quick. For example, busy traders can get fast market alerts, while other groups might see reminders or ads that fit their profiles.
InTrading’s system handles these methods without a hitch. One campaign can set off emails, push alerts, and SMS messages all at once, each geared to match a user’s group profile and how they like to hear from us. Then, reports across all channels give details on how users respond, letting you tweak your plans and better your next efforts.
Keeping an Eye on Your Segment Outcomes
Stay sharp on major numbers to make your group plans work well and bring in good results.
Key Numbers to Watch
Trading stats are the first thing you check to know how well different groups do. See numbers like trades each week for each user, the size of an average trade, and if trade times change after you send special messages. When people get things meant just for their trading habits, they join in more than those who get plain news.
Checking sign-ups lets you see how users move through your steps. Numbers like rates from putting money in to first trade, and rates of making old users active again can prove if your welcome and comeback plans work. For example, looking at how long it takes a new user to trade after joining can show if your welcome plans are right. Grouped, special welcomes often get people to take part faster than normal ways.
Ways of talking data lets you find the best ways to talk to each group. Look at how many open emails, click push notices, and answer SMS to see what hits home. For instance, long market news by email might draw in big traders, while small traders might like short alerts on new chances.
Money impact numbers link your group work to clear business results. Track money by group and watch changes in worth over time. Figuring out the cost of making old users active again and the money back from different plans can help you use resources better.
Use these numbers to shape what you do next and keep making your plans better.
Testing and Making Your Plans Better
A/B testing is a key way to find what does best. For instance, try sending market news at different times to find the best timing. Try deep or simple news – some users may like deep info, while others might join more with short, clear points.
Content tweaks based on what users do can make them join in more. If facts show that some groups like money chance alerts more than learning things, shift your words as needed. Different kinds of users, like forex or stock traders, might need different talks.
Tests on timing can make your calling better. For example, try different days for making old users active again to see when users most likely join in.
Making groups better should keep going. As you get more data, think about splitting big groups into smaller, more clear parts. For example, instead of a wide "new trader" group, you could make "new forex traders" and "new stock traders", each with words just for them.
Testing across ways can show the best mix of ways to talk for each group. While some groups may like many ways at once, others might stick to one.
Use what you learn from A/B tests and other tries to shift your words, timing, and ways of talking. This ongoing loop makes sure your plans work well and are easy for users.
Using Rules and Doing It Right
Keeping Data Safe is key to keep trust and protect your work. Always stick to FINRA rules for money talks, put in right risk notes in your ads, and keep user info safe. Take just what you need to sort people and get rid of old info as your privacy rules say.
Asking for Permission is big for good ties with users. Let users pick how you talk to them when they sign up and help them change it later. Be quick to cut off those who say stop and don’t use ways they said no to. Clear ask rules cut down moans and make people more into it.
Limiting Messages helps not to flood your crowd. Set max counts for each day and week for each way. Big traders may be okay with more news, but new folks might get too much if notes flood in. Watch how many drop off by group to tweak when needed.
Keeping Content Good keeps trust up. All trade notes must have the right risk words and follow money ad rules. Don’t say you’ll for sure make folks rich – stick to teaching and showing possible gains.
Checking Yourself Often keeps you right. Look over your sort rules to stay fair, make sure auto-notes have must-have words, and watch moan counts to spot weak spots. These checks help catch trouble early.
Ending: Make More Trades with Better User Groups
Low trade numbers don’t need to stick around. With smart user groups, you can switch non-active users into lively, busy traders by sending the right messages at the right time.
The move from wide, plain ads to focused groups is key. By sorting users by things like their trade ways, how long they’ve been trading, their worth, or how they like to talk, you can send stuff that seems just right for them. For example, new Forex traders might like to learn about currency pairs, while old stock traders might enjoy deep market news and special trade chances.
Tools like InTrading help you do this well and easily. Things like the AI Data Helper and live tracking of conversions show you which users to focus on, while tools that automate messages make sure they get info they care about without extra work for your team. Whether it’s quick alerts about market changes or email plans to get back users who stopped, the all-in-one CRM keeps it simple.
What’s more, grouping isn’t just for order – it makes things better. Live updates let you watch important stuff like how often they trade, how many open emails, and money by group. Testing different messages and times can sharpen your plans more, while ways of marketing that ask for permission keep trust and truth.
Seeing grouping as a changing thing is key. As you gather more info about users, you can make even more special groups and experiences, bringing more trades, busy trading, and big growth for the platform. Start with simple groups based on how much they trade and grow from what you learn. With sharp grouping, low trade numbers can turn into stable and steady growth.
FAQs
How does dividing users help raise the number of trades on a site?
Splitting users into groups helps up the trade count by sorting traders by how they act, what they like, and how much they trade. This lets sites make custom ad drives, special deals, and services that fit well with each group.
When sites know the different needs of each user group, they can hold the traders’ interest better. This way boosts trading and keeps users coming back. What does this lead to? More happiness and faith in the site, which in turn, boosts the total number of trades.
What are the top methods for grouping users on trade sites?
To do user grouping well on trade sites, using customer data systems (CDPs) and behavior study tools can help a lot. For example, as with Twilio Segment, you can take and sort user info right away, giving details that help with aimed marketing. Also, study tools like Mixpanel or Amplitude look at trade acts, user likes, and life stages, aiding you in making very exact plans for reaching out.
These tech tools let you pick up actions, dig deep into data, and make ads just for your users, all key for better user talks and more trade work. By adding these tools, you can give traders a more cut and shaped use and well see to issues like small trade counts.
How do trade sites make sure they sort out their users right by the law and keep their info safe?
Trade sites must set up good data safety steps like code locking, who can see data, and often checking. These acts keep user info safe and follow rules like the SEC’s rule S-P, which aims to protect customer info, and other key privacy rules.
It’s key for sites to always have right records, check risks often, and keep up with new rules. By being clear and making sure no one misuses data, sites can stick to both money and privacy rules, and also make their users trust them more.
