Akohub helps you turn your Shopify store data into actionable insights. When you connect Akohub with Shopify Sidekick, you can ask questions in plain language and receive answers based on your store’s actual performance—without leaving Shopify Admin or spending time searching through multiple reports and dashboards.

For example, you can ask Sidekick why sales declined, which products are gaining momentum, where customers are dropping off, which customer segments need attention, or what you should prioritize this week. Sidekick can use context from Akohub—including customer, loyalty, rewards, store credit, and advertising data—to explain trends, uncover growth opportunities, and recommend your next steps.

In this guide, you’ll find practical prompts for understanding what changed, identifying possible causes, deciding what to do next, choosing the right customers to target, and planning campaigns that increase sales and repeat purchases.

How to Connect Akohub With Sidekick

Step 1: Open Shopify Sidekick

  1. Log in to your Shopify Admin.
  2. Open Ako Marketing from the Apps section.
  3. Select the Sidekick icon in the upper-right corner of Shopify Admin.
  4. A new Sidekick conversation will open on the right side of the screen.

Sidekick conversation window opening in Shopify admin interface

Step 2: Enable Ako Marketing

  1. Select the + button beside the Sidekick message box.
  2. Select Apps.
  3. Find Ako Marketing in the list.
  4. Turn on the toggle beside Ako Marketing.
  5. Enter your question in the message box.

Enable Ako Marketing toggle and message box in Sidekick

Sidekick using Ako Marketing data for Shopify growth insights

Once enabled, Sidekick can use information provided by Ako Marketing when responding to your questions.

Prompts to Try with Ako Marketing

Ako Marketing helps Shopify Sidekick turn your store data into clear insights and recommended actions. Use these prompts to understand performance, investigate sales changes, find customer opportunities, and plan your next marketing campaign.

You can copy the prompts directly or customize them with a specific date range, product, customer segment, or business goal.

1. How can I quickly understand what's happening in my store?

Start with prompts that summarize your latest performance and highlight the most important changes.

  • Morning Store Briefing:
    "Give me a morning briefing on my store. What changed yesterday, which signals deserve my attention, and what should I focus on today?"
  • Weekly Store Summary:
    "Compare this week with last week. Identify the three most important changes and explain why they matter."
  • Risks and Opportunities:
    "Review my latest store data. Identify the biggest risk, the biggest growth opportunity, and the quickest win. Explain the evidence behind each."
  • Important Changes:
    "What changed significantly during the last seven days that I may have missed?"
  • Prioritize My Signals:
    "Based on my latest store data, rank my top priorities by expected business impact. Explain what I should address first."

2. How can I find out why my sales changed?

Once you've identified a change, ask the AI to determine what caused it.

  • Revenue Decline Analysis:
    "Revenue declined this week. Was it mainly caused by lower traffic, lower conversion rate, lower average order value, or fewer returning customers? Explain your reasoning."
  • Sales Breakdown:
    "Compare this month with last month. Which metrics contributed most to the change in sales?"
  • Traffic Without Sales:
    "Traffic increased, but orders did not. Explain the most likely causes using my store data."
  • Unusual Performance:
    "Separate normal fluctuations from changes that require immediate attention."
  • Missed Revenue Estimate:
    "Estimate how many additional orders I could have received if my conversion rate had stayed at its previous level. Show your calculation."

3. How can I decide what to do next?

Turn your insights into a prioritized action plan.

  • Prioritized Action Plan:
    "Based on my latest performance, recommend three actions for today, three actions for this week, and three actions for this month. Rank them by expected business impact."
  • Biggest Opportunity:
    "If I could only improve one area this week, what should it be and why?"
  • Quick Wins:
    "Recommend three improvements that require little effort but could produce meaningful results."
  • What-If Analysis:
    "Which would have the greatest impact on revenue right now: increasing traffic, improving conversion rate, increasing average order value, or increasing repeat purchases? Support your recommendation with my store data."

4. How can I identify the right customers to target?

Use your customer and loyalty data to discover which audiences deserve your attention.

  • Customers Ready to Buy Again:
    "Which customers are most likely to purchase again soon?"
  • Customers at Risk:
    "Which customers appear likely to stop purchasing? What evidence supports this?"
  • Highest-Value Customers:
    "Which customer groups generated the most revenue during the last 30 days, and what makes them valuable?"
  • Loyalty Program Health Check:
    "Review my loyalty program. Are customers actively earning and redeeming rewards?"
  • Inactive Loyalty Members:
    "Identify customers who joined my loyalty program or earned rewards but haven't returned to purchase again."

5. How can I decide which marketing campaign to run?

Ask the AI to recommend campaigns based on your current store performance.

  • Next Marketing Campaign:
    "Based on my current store performance, recommend my next marketing campaign, including the target audience, goal, offer, key message, and best marketing channel."
  • Retargeting Opportunity:
    "Which customers or visitors should I prioritize for my next retargeting campaign, and why?"
  • Loyalty Campaign:
    "Suggest a loyalty campaign that could increase repeat purchases based on my customer behavior."
  • Product Promotion:
    "Which products are gaining momentum and should be promoted more aggressively?"
  • Acquire New Customers or Retain Existing Ones?
    "Should I focus more on acquiring new customers or retaining existing customers this month? Support your recommendation using my store data."

How can I get better answers from Sidekick or other AI assistants?

The more context you provide, the better the recommendations.

Instead of asking:
"Why are my sales down?"

Try asking:
"Compare the last seven days with the previous seven days. Identify whether the sales decline was caused by traffic, conversion rate, average order value, or returning customers. Explain the root cause, identify which customer groups are most affected, and recommend three prioritized actions."

Including a specific date range, the metrics you want analyzed, and the type of output you're looking for will usually produce much more useful and actionable recommendations.